Natural Language Classifier - IBM Cloud API Docs

Introduction

Last updated: 2021-06-08

IBM Watson™ Natural Language Classifier uses machine learning algorithms to return the top matching predefined classes for short text input. You create and train a classifier to connect predefined classes to example texts so that the service can apply those classes to new inputs.

This documentation describes Java SDK major version 9. For more information about how to update your code from the previous version, see the migration guide.

This documentation describes Node SDK major version 6. For more information about how to update your code from the previous version, see the migration guide.

This documentation describes Python SDK major version 5. For more information about how to update your code from the previous version, see the migration guide.

This documentation describes Ruby SDK major version 2. For more information about how to update your code from the previous version, see the migration guide.

This documentation describes .NET Standard SDK major version 5. For more information about how to update your code from the previous version, see the migration guide.

This documentation describes Go SDK major version 2. For more information about how to update your code from the previous version, see the migration guide.

This documentation describes Swift SDK major version 4. For more information about how to update your code from the previous version, see the migration guide.

This documentation describes Unity SDK major version 5. For more information about how to update your code from the previous version, see the migration guide.

The IBM Watson Unity SDK has the following requirements.

The SDK requires Unity version 2018.2 or later to support Transport Layer Security (TLS) 1.2.
- Set the project settings for both the Scripting Runtime Version and the Api Compatibility Level to .NET 4.x Equivalent.
- For more information, see TLS 1.0 support.
The SDK doesn't support the WebGL projects. Change your build settings to any platform except WebGL.

For more information about how to install and configure the SDK and SDK Core, see https://github.com/watson-developer-cloud/unity-sdk.

The code examples on this tab use the client library that is provided for Java.

Maven

<dependency>
  <groupId>com.ibm.watson</groupId>
  <artifactId>ibm-watson</artifactId>
  <version>9.2.0</version>
</dependency>

Gradle

compile 'com.ibm.watson:ibm-watson:9.2.0'

GitHub

https://github.com/watson-developer-cloud/java-sdk

The code examples on this tab use the client library that is provided for Node.js.

Installation

npm install ibm-watson@^6.1.1

GitHub

https://github.com/watson-developer-cloud/node-sdk

The code examples on this tab use the client library that is provided for Python.

Installation

pip install --upgrade "ibm-watson>=5.1.0"

GitHub

https://github.com/watson-developer-cloud/python-sdk

The code examples on this tab use the client library that is provided for Ruby.

Installation

gem install ibm_watson

GitHub

https://github.com/watson-developer-cloud/ruby-sdk

The code examples on this tab use the client library that is provided for Go.

go get -u github.com/watson-developer-cloud/go-sdk/v2@v2.1.0

GitHub

https://github.com/watson-developer-cloud/go-sdk

The code examples on this tab use the client library that is provided for Swift.

Cocoapods

pod 'IBMWatsonNaturalLanguageClassifierV1', '~> 4.2.1'

Carthage

github "watson-developer-cloud/swift-sdk" ~> 4.2.1

Swift Package Manager

.package(url: "https://github.com/watson-developer-cloud/swift-sdk", from: "4.2.1")

GitHub

https://github.com/watson-developer-cloud/swift-sdk

The code examples on this tab use the client library that is provided for .NET Standard.

Package Manager

Install-Package IBM.Watson.NaturalLanguageClassifier.v1 -Version 5.1.0

.NET CLI

dotnet add package IBM.Watson.NaturalLanguageClassifier.v1 --version 5.1.0

PackageReference

<PackageReference Include="IBM.Watson.NaturalLanguageClassifier.v1" Version="5.1.0" />

GitHub

https://github.com/watson-developer-cloud/dotnet-standard-sdk

The code examples on this tab use the client library that is provided for Unity.

GitHub

https://github.com/watson-developer-cloud/unity-sdk

https://github.com/IBM/unity-sdk-core

Endpoint URLs

Identify the base URL for your service instance.

IBM Cloud URLs

The base URLs come from the service instance. To find the URL, view the service credentials by clicking the name of the service in the Resource list. Use the value of the URL. Add the method to form the complete API endpoint for your request.

The following example URL represents a Natural Language Classifier instance that is hosted in Washington DC:

https://api.us-east.natural-language-classifier.watson.cloud.ibm.com/instances/6bbda3b3-d572-45e1-8c54-22d6ed9e52c2

The following URLs represent the base URLs for Natural Language Classifier. When you call the API, use the URL that corresponds to the location of your service instance.

Dallas: https://api.us-south.natural-language-classifier.watson.cloud.ibm.com
Washington DC: https://api.us-east.natural-language-classifier.watson.cloud.ibm.com
Frankfurt: https://api.eu-de.natural-language-classifier.watson.cloud.ibm.com
Tokyo: https://api.jp-tok.natural-language-classifier.watson.cloud.ibm.com
Seoul: https://api.kr-seo.natural-language-classifier.watson.cloud.ibm.com

Set the correct service URL by calling the setServiceUrl() method of the service instance.

Set the correct service URL by specifying the serviceUrl parameter when you create the service instance.

Set the correct service URL by calling the set_service_url() method of the service instance.

Set the correct service URL by specifying the service_url property of the service instance.

Set the correct service URL by calling the SetServiceURL() method of the service instance.

Set the correct service URL by setting the serviceURL property of the service instance.

Set the correct service URL by calling the SetServiceUrl() method of the service instance.

Dallas API endpoint example for services managed on IBM Cloud

curl -X {request_method} -u "apikey:{apikey}" "https://api.us-south.natural-language-classifier.watson.cloud.ibm.com/instances/{instance_id}"

Your service instance might not use this URL

Default URL

https://api.us-south.natural-language-classifier.watson.cloud.ibm.com

Example for the Washington DC location

IamAuthenticator authenticator = new IamAuthenticator("{apikey}");
NaturalLanguageClassifier naturalLanguageClassifier = new NaturalLanguageClassifier(authenticator);
naturalLanguageClassifier.setServiceUrl("https://api.us-east.natural-language-classifier.watson.cloud.ibm.com");

Default URL

https://api.us-south.natural-language-classifier.watson.cloud.ibm.com

Example for the Washington DC location

const NaturalLanguageClassifierV1 = require('ibm-watson/natural-language-classifier/v1');
const { IamAuthenticator } = require('ibm-watson/auth');

const naturalLanguageClassifier = new NaturalLanguageClassifierV1({
  authenticator: new IamAuthenticator({
    apikey: '{apikey}',
  }),
  serviceUrl: 'https://api.us-east.natural-language-classifier.watson.cloud.ibm.com',
});

Default URL

https://api.us-south.natural-language-classifier.watson.cloud.ibm.com

Example for the Washington DC location

from ibm_watson import NaturalLanguageClassifierV1
from ibm_cloud_sdk_core.authenticators import IAMAuthenticator

authenticator = IAMAuthenticator('{apikey}')
natural_language_classifier = NaturalLanguageClassifierV1(
    authenticator=authenticator
)

natural_language_classifier.set_service_url('https://api.us-east.natural-language-classifier.watson.cloud.ibm.com')

Default URL

https://api.us-south.natural-language-classifier.watson.cloud.ibm.com

Example for the Washington DC location

require "ibm_watson/authenticators"
require "ibm_watson/natural_language_classifier_v1"
include IBMWatson

authenticator = Authenticators::IamAuthenticator.new(
  apikey: "{apikey}"
)
natural_language_classifier = NaturalLanguageClassifierV1.new(
  authenticator: authenticator
)
natural_language_classifier.service_url = "https://api.us-east.natural-language-classifier.watson.cloud.ibm.com"

Default URL

https://api.us-south.natural-language-classifier.watson.cloud.ibm.com

Example for the Washington DC location

naturalLanguageClassifier, naturalLanguageClassifierErr := naturallanguageclassifierv1.NewNaturalLanguageClassifierV1(options)

if naturalLanguageClassifierErr != nil {
  panic(naturalLanguageClassifierErr)
}

naturalLanguageClassifier.SetServiceURL("https://api.us-east.natural-language-classifier.watson.cloud.ibm.com")

Default URL

https://api.us-south.natural-language-classifier.watson.cloud.ibm.com

Example for the Washington DC location

let authenticator = WatsonIAMAuthenticator(apiKey: "{apikey}")
let naturalLanguageClassifier = NaturalLanguageClassifier(authenticator: authenticator)
naturalLanguageClassifier.serviceURL = "https://api.us-east.natural-language-classifier.watson.cloud.ibm.com"

Default URL

https://api.us-south.natural-language-classifier.watson.cloud.ibm.com

Example for the Washington DC location

IamAuthenticator authenticator = new IamAuthenticator(
    apikey: "{apikey}"
    );

NaturalLanguageClassifierService naturalLanguageClassifier = new NaturalLanguageClassifierService(authenticator);
naturalLanguageClassifier.SetServiceUrl("https://api.us-east.natural-language-classifier.watson.cloud.ibm.com");

Default URL

https://api.us-south.natural-language-classifier.watson.cloud.ibm.com

Example for the Washington DC location

var authenticator = new IamAuthenticator(
    apikey: "{apikey}"
);

while (!authenticator.CanAuthenticate())
    yield return null;

var naturalLanguageClassifier = new NaturalLanguageClassifierService(authenticator);
naturalLanguageClassifier.SetServiceUrl("https://api.us-east.natural-language-classifier.watson.cloud.ibm.com");

Disabling SSL verification

All Watson services use Secure Sockets Layer (SSL) (or Transport Layer Security (TLS)) for secure connections between the client and server. The connection is verified against the local certificate store to ensure authentication, integrity, and confidentiality.

If you use a self-signed certificate, you need to disable SSL verification to make a successful connection.

Enabling SSL verification is highly recommended. Disabling SSL jeopardizes the security of the connection and data. Disable SSL only if necessary, and take steps to enable SSL as soon as possible.

To disable SSL verification for a curl request, use the --insecure (-k) option with the request.

To disable SSL verification, create an HttpConfigOptions object and set the disableSslVerification property to true. Then, pass the object to the service instance by using the configureClient method.

To disable SSL verification, set the disableSslVerification parameter to true when you create the service instance.

To disable SSL verification, specify True on the set_disable_ssl_verification method for the service instance.

To disable SSL verification, set the disable_ssl_verification parameter to true in the configure_http_client() method for the service instance.

To disable SSL verification, call the DisableSSLVerification method on the service instance.

To disable SSL verification, call the disableSSLVerification() method on the service instance. You cannot disable SSL verification on Linux.

To disable SSL verification, set the DisableSslVerification method to true on the service instance.

Example to disable SSL verification. Replace {apikey} and {url} with your service credentials.

curl -k -X {request_method} -u "apikey:{apikey}" "{url}/{method}"

Example to disable SSL verification

IamAuthenticator authenticator = new IamAuthenticator("{apikey}");
NaturalLanguageClassifier naturalLanguageClassifier = new NaturalLanguageClassifier(authenticator);
naturalLanguageClassifier.setServiceUrl("{url}");

HttpConfigOptions configOptions = new HttpConfigOptions.Builder()
  .disableSslVerification(true)
  .build();
naturalLanguageClassifier.configureClient(configOptions);

Example to disable SSL verification

const NaturalLanguageClassifierV1 = require('ibm-watson/natural-language-classifier/v1');
const { IamAuthenticator } = require('ibm-watson/auth');

const naturalLanguageClassifier = new NaturalLanguageClassifierV1({
  authenticator: new IamAuthenticator({
    apikey: '{apikey}',
  }),
  serviceUrl: '{url}',
  disableSslVerification: true,
});

Example to disable SSL verification

from ibm_watson import NaturalLanguageClassifierV1
from ibm_cloud_sdk_core.authenticators import IAMAuthenticator

authenticator = IAMAuthenticator('{apikey}')
natural_language_classifier = NaturalLanguageClassifierV1(
    authenticator=authenticator
)

natural_language_classifier.set_service_url('{url}')

natural_language_classifier.set_disable_ssl_verification(True)

Example to disable SSL verification

require "ibm_watson/authenticators"
require "ibm_watson/natural_language_classifier_v1"
include IBMWatson

authenticator = Authenticators::IamAuthenticator.new(
  apikey: "{apikey}"
)
natural_language_classifier = NaturalLanguageClassifierV1.new(
  authenticator: authenticator
)
natural_language_classifier.service_url = "{url}"

natural_language_classifier.configure_http_client(disable_ssl_verification: true)

Example to disable SSL verification

naturalLanguageClassifier, naturalLanguageClassifierErr := naturallanguageclassifierv1.NewNaturalLanguageClassifierV1(options)

if naturalLanguageClassifierErr != nil {
  panic(naturalLanguageClassifierErr)
}

naturalLanguageClassifier.SetServiceURL("{url}")

naturalLanguageClassifier.DisableSSLVerification()

Example to disable SSL verification

let authenticator = WatsonIAMAuthenticator(apiKey: "{apikey}")
let naturalLanguageClassifier = NaturalLanguageClassifier(authenticator: authenticator)
naturalLanguageClassifier.serviceURL = "{url}"

naturalLanguageClassifier.disableSSLVerification()

Example to disable SSL verification

IamAuthenticator authenticator = new IamAuthenticator(
    apikey: "{apikey}"
    );

NaturalLanguageClassifierService naturalLanguageClassifier = new NaturalLanguageClassifierService(authenticator);
naturalLanguageClassifier.SetServiceUrl("{url}");

naturalLanguageClassifier.DisableSslVerification(true);

Example to disable SSL verification

var authenticator = new IamAuthenticator(
    apikey: "{apikey}"
);

while (!authenticator.CanAuthenticate())
    yield return null;

var naturalLanguageClassifier = new NaturalLanguageClassifierService(authenticator);
naturalLanguageClassifier.SetServiceUrl("{url}");

naturalLanguageClassifier.DisableSslVerification = true;

Authentication

You authenticate to the API by using IBM Cloud Identity and Access Management (IAM).

You can pass either a bearer token in an authorization header or an API key. Tokens support authenticated requests without embedding service credentials in every call. API keys use basic authentication. For more information, see Authenticating to Watson services.

For testing and development, you can pass an API key directly.
For production use, unless you use the Watson SDKs, use an IAM token.

If you pass in an API key, use apikey for the username and the value of the API key as the password. For example, if the API key is f5sAznhrKQyvBFFaZbtF60m5tzLbqWhyALQawBg5TjRI in the service credentials, include the credentials in your call like this:

curl -u "apikey:f5sAznhrKQyvBFFaZbtF60m5tzLbqWhyALQawBg5TjRI"

For IBM Cloud instances, the SDK provides initialization methods for each form of authentication.

Use the API key to have the SDK manage the lifecycle of the access token. The SDK requests an access token, ensures that the access token is valid, and refreshes it if necessary.
Use the access token to manage the lifecycle yourself. You must periodically refresh the token.

For more information, see IAM authentication with the SDK.For more information, see IAM authentication with the SDK.For more information, see IAM authentication with the SDK.For more information, see IAM authentication with the SDK.For more information, see IAM authentication with the SDK.For more information, see IAM authentication with the SDK.For more information, see IAM authentication with the SDK.For more information, see IAM authentication with the SDK.

Replace {apikey} and {url} with your service credentials.

curl -X {request_method} -u "apikey:{apikey}" "{url}/v1/{method}"

SDK managing the IAM token. Replace {apikey} and {url}.

IamAuthenticator authenticator = new IamAuthenticator("{apikey}");
NaturalLanguageClassifier naturalLanguageClassifier = new NaturalLanguageClassifier(authenticator);
naturalLanguageClassifier.setServiceUrl("{url}");

SDK managing the IAM token. Replace {apikey} and {url}.

const NaturalLanguageClassifierV1 = require('ibm-watson/natural-language-classifier/v1');
const { IamAuthenticator } = require('ibm-watson/auth');

const naturalLanguageClassifier = new NaturalLanguageClassifierV1({
  authenticator: new IamAuthenticator({
    apikey: '{apikey}',
  }),
  serviceUrl: '{url}',
});

SDK managing the IAM token. Replace {apikey} and {url}.

from ibm_watson import NaturalLanguageClassifierV1
from ibm_cloud_sdk_core.authenticators import IAMAuthenticator

authenticator = IAMAuthenticator('{apikey}')
natural_language_classifier = NaturalLanguageClassifierV1(
    authenticator=authenticator
)

natural_language_classifier.set_service_url('{url}')

SDK managing the IAM token. Replace {apikey} and {url}.

require "ibm_watson/authenticators"
require "ibm_watson/natural_language_classifier_v1"
include IBMWatson

authenticator = Authenticators::IamAuthenticator.new(
  apikey: "{apikey}"
)
natural_language_classifier = NaturalLanguageClassifierV1.new(
  authenticator: authenticator
)
natural_language_classifier.service_url = "{url}"

SDK managing the IAM token. Replace {apikey} and {url}.

import (
  "github.com/IBM/go-sdk-core/core"
  "github.com/watson-developer-cloud/go-sdk/naturallanguageclassifierv1"
)

func main() {
  authenticator := &core.IamAuthenticator{
    ApiKey: "{apikey}",
  }

  options := &naturallanguageclassifierv1.NaturalLanguageClassifierV1Options{
    Authenticator: authenticator,
  }

  naturalLanguageClassifier, naturalLanguageClassifierErr := naturallanguageclassifierv1.NewNaturalLanguageClassifierV1(options)

  if naturalLanguageClassifierErr != nil {
    panic(naturalLanguageClassifierErr)
  }

  naturalLanguageClassifier.SetServiceURL("{url}")
}

SDK managing the IAM token. Replace {apikey} and {url}.

let authenticator = WatsonIAMAuthenticator(apiKey: "{apikey}")
let naturalLanguageClassifier = NaturalLanguageClassifier(authenticator: authenticator)
naturalLanguageClassifier.serviceURL = "{url}"

SDK managing the IAM token. Replace {apikey} and {url}.

IamAuthenticator authenticator = new IamAuthenticator(
    apikey: "{apikey}"
    );

NaturalLanguageClassifierService naturalLanguageClassifier = new NaturalLanguageClassifierService(authenticator);
naturalLanguageClassifier.SetServiceUrl("{url}");

SDK managing the IAM token. Replace {apikey} and {url}.

var authenticator = new IamAuthenticator(
    apikey: "{apikey}"
);

while (!authenticator.CanAuthenticate())
    yield return null;

var naturalLanguageClassifier = new NaturalLanguageClassifierService(authenticator);
naturalLanguageClassifier.SetServiceUrl("{url}");

Access between services

Your application might use more than one Watson service. You can grant access between services and you can grant access to more than one service for your applications.

For IBM Cloud services, the method to grant access between Watson services varies depending on the type of API key. For more information, see IAM access.

To grant access between IBM Cloud services, create an authorization between the services. For more information, see Granting access between services.
To grant access to your services by applications without using user credentials, create a service ID, add an API key, and assign access policies. For more information, see Creating and working with service IDs.

When you give a user ID access to multiple services, use an endpoint URL that includes the service instance ID (for example, https://api.us-south.natural-language-classifier.watson.cloud.ibm.com/instances/6bbda3b3-d572-45e1-8c54-22d6ed9e52c2). You can find the instance ID in two places:

By clicking the service instance row in the Resource list. The instance ID is the GUID in the details pane.
By clicking the name of the service instance in the list and looking at the credentials URL.

If you don't see the instance ID in the URL, the credentials predate service IDs. Add new credentials from the Service credentials page and use those credentials.

Error handling

Natural Language Classifier uses standard HTTP response codes to indicate whether a method completed successfully. HTTP response codes in the 2xx range indicate success. A response in the 4xx range is some sort of failure, and a response in the 5xx range usually indicates an internal system error that cannot be resolved by the user. Response codes are listed with the method.

ErrorResponse

Name	Description
code integer	The HTTP response code.
error string	General description of an error.

The Java SDK generates an exception for any unsuccessful method invocation. All methods that accept an argument can also throw an IllegalArgumentException.

Exception	Description
IllegalArgumentException	An invalid argument was passed to the method.

When the Java SDK receives an error response from the Natural Language Classifier service, it generates an exception from the com.ibm.watson.developer_cloud.service.exception package. All service exceptions contain the following fields.

Field	Description
statusCode	The HTTP response code that is returned.
message	A message that describes the error.

When the Node SDK receives an error response from the Natural Language Classifier service, it creates an Error object with information that describes the error that occurred. This error object is passed as the first parameter to the callback function for the method. The contents of the error object are as shown in the following table.

Error

Field	Description
code	The HTTP response code that is returned.
message	A message that describes the error.

The Python SDK generates an exception for any unsuccessful method invocation. When the Python SDK receives an error response from the Natural Language Classifier service, it generates an ApiException with the following fields.

Field	Description
code	The HTTP response code that is returned.
message	A message that describes the error.
info	A dictionary of additional information about the error.

When the Ruby SDK receives an error response from the Natural Language Classifier service, it generates an ApiException with the following fields.

Field	Description
code	The HTTP response code that is returned.
message	A message that describes the error.
info	A dictionary of additional information about the error.

The Go SDK generates an error for any unsuccessful service instantiation and method invocation. You can check for the error immediately. The contents of the error object are as shown in the following table.

Error

Field	Description
code	The HTTP response code that is returned.
message	A message that describes the error.

The Swift SDK returns a WatsonError in the completionHandler any unsuccessful method invocation. This error type is an enum that conforms to LocalizedError and contains an errorDescription property that returns an error message. Some of the WatsonError cases contain associated values that reveal more information about the error.

Field	Description
errorDescription	A message that describes the error.

When the .NET Standard SDK receives an error response from the Natural Language Classifier service, it generates a ServiceResponseException with the following fields.

Field	Description
Message	A message that describes the error.
CodeDescription	The HTTP response code that is returned.

When the Unity SDK receives an error response from the Natural Language Classifier service, it generates an IBMError with the following fields.

Field	Description
Url	The URL that generated the error.
StatusCode	The HTTP response code returned.
ErrorMessage	A message that describes the error.
Response	The contents of the response from the server.
ResponseHeaders	A dictionary of headers returned by the request.

Example error handling

try {
  // Invoke a method
} catch (NotFoundException e) {
  // Handle Not Found (404) exception
} catch (RequestTooLargeException e) {
  // Handle Request Too Large (413) exception
} catch (ServiceResponseException e) {
  // Base class for all exceptions caused by error responses from the service
  System.out.println("Service returned status code "
    + e.getStatusCode() + ": " + e.getMessage());
}

Example error handling

naturalLanguageClassifier.method(params)
  .catch(err => {
    console.log('error:', err);
  });

Example error handling

from ibm_watson import ApiException
try:
    # Invoke a method
except ApiException as ex:
    print "Method failed with status code " + str(ex.code) + ": " + ex.message

Example error handling

require "ibm_watson"
begin
  # Invoke a method
rescue IBMWatson::ApiException => ex
  print "Method failed with status code #{ex.code}: #{ex.error}"
end

Example error handling

import "github.com/watson-developer-cloud/go-sdk/naturallanguageclassifierv1"

// Instantiate a service
naturalLanguageClassifier, naturalLanguageClassifierErr := naturallanguageclassifierv1.NewNaturalLanguageClassifierV1(options)

// Check for errors
if naturalLanguageClassifierErr != nil {
  panic(naturalLanguageClassifierErr)
}

// Call a method
result, _, responseErr := naturalLanguageClassifier.MethodName(&methodOptions)

// Check for errors
if responseErr != nil {
  panic(responseErr)
}

Example error handling

naturalLanguageClassifier.method() {
  response, error in

  if let error = error {
    switch error {
    case let .http(statusCode, message, metadata):
      switch statusCode {
      case .some(404):
        // Handle Not Found (404) exception
        print("Not found")
      case .some(413):
        // Handle Request Too Large (413) exception
        print("Payload too large")
      default:
        if let statusCode = statusCode {
          print("Error - code: \(statusCode), \(message ?? "")")
        }
      }
    default:
      print(error.localizedDescription)
    }
    return
  }

  guard let result = response?.result else {
    print(error?.localizedDescription ?? "unknown error")
    return
  }

  print(result)
}

Example error handling

try
{
    // Invoke a method
}
catch(ServiceResponseException e)
{
    Console.WriteLine("Error: " + e.Message);
}
catch (Exception e)
{
    Console.WriteLine("Error: " + e.Message);
}

Example error handling

// Invoke a method
naturalLanguageClassifier.MethodName(Callback, Parameters);

// Check for errors
private void Callback(DetailedResponse<ExampleResponse> response, IBMError error)
{
    if (error == null)
    {
        Log.Debug("ExampleCallback", "Response received: {0}", response.Response);
    }
    else
    {
        Log.Debug("ExampleCallback", "Error received: {0}, {1}, {3}", error.StatusCode, error.ErrorMessage, error.Response);
    }
}

Data handling

Additional headers

Some Watson services accept special parameters in headers that are passed with the request.

You can pass request header parameters in all requests or in a single request to the service.

To pass a request header, use the --header (-H) option with a curl request.

To pass header parameters with every request, use the setDefaultHeaders method of the service object. See Data collection for an example use of this method.

To pass header parameters in a single request, use the addHeader method as a modifier on the request before you execute it.

To pass header parameters with every request, specify the headers parameter when you create the service object. See Data collection for an example use of this method.

To pass header parameters in a single request, use the headers method as a modifier on the request before you execute it.

To pass header parameters with every request, specify the set_default_headers method of the service object. See Data collection for an example use of this method.

To pass header parameters in a single request, include headers as a dict in the request.

To pass header parameters with every request, specify the add_default_headers method of the service object. See Data collection for an example use of this method.

To pass header parameters in a single request, specify the headers method as a chainable method in the request.

To pass header parameters with every request, specify the SetDefaultHeaders method of the service object. See Data collection for an example use of this method.

To pass header parameters in a single request, specify the Headers as a map in the request.

To pass header parameters with every request, add them to the defaultHeaders property of the service object. See Data collection for an example use of this method.

To pass header parameters in a single request, pass the headers parameter to the request method.

To pass header parameters in a single request, use the WithHeader() method as a modifier on the request before you execute it. See Data collection for an example use of this method.

To pass header parameters in a single request, use the WithHeader() method as a modifier on the request before you execute it.

Example header parameter in a request

curl -X {request_method} -H "Request-Header: {header_value}" "{url}/v1/{method}"

Example header parameter in a request

ReturnType returnValue = naturalLanguageClassifier.methodName(parameters)
  .addHeader("Custom-Header", "{header_value}")
  .execute();

Example header parameter in a request

const parameters = {
  {parameters}
};

naturalLanguageClassifier.methodName(
  parameters,
  headers: {
    'Custom-Header': '{header_value}'
  })
   .then(result => {
    console.log(response);
  })
  .catch(err => {
    console.log('error:', err);
  });

Example header parameter in a request

response = natural_language_classifier.methodName(
    parameters,
    headers = {
        'Custom-Header': '{header_value}'
    })

Example header parameter in a request

response = natural_language_classifier.headers(
  "Custom-Header" => "{header_value}"
).methodName(parameters)

Example header parameter in a request

result, _, responseErr := naturalLanguageClassifier.MethodName(
  &methodOptions{
    Headers: map[string]string{
      "Accept": "application/json",
    },
  },
)

Example header parameter in a request

let customHeader: [String: String] = ["Custom-Header": "{header_value}"]
naturalLanguageClassifier.methodName(parameters, headers: customHeader) {
  response, error in
}

Example header parameter in a request

IamAuthenticator authenticator = new IamAuthenticator(
    apikey: "{apikey}"
    );

NaturalLanguageClassifierService naturalLanguageClassifier = new NaturalLanguageClassifierService(authenticator);
naturalLanguageClassifier.SetServiceUrl("{url}");

naturalLanguageClassifier.WithHeader("Custom-Header", "header_value");

Example header parameter in a request

var authenticator = new IamAuthenticator(
    apikey: "{apikey}"
);

while (!authenticator.CanAuthenticate())
    yield return null;

var naturalLanguageClassifier = new NaturalLanguageClassifierService(authenticator);
naturalLanguageClassifier.SetServiceUrl("{url}");

naturalLanguageClassifier.WithHeader("Custom-Header", "header_value");

Response details

The Natural Language Classifier service might return information to the application in response headers.

To access all response headers that the service returns, include the --include (-i) option with a curl request. To see detailed response data for the request, including request headers, response headers, and extra debugging information, include the --verbose (-v) option with the request.

Example request to access response headers

curl -X {request_method} {authentication_method} --include "{url}/v1/{method}"

To access information in the response headers, use one of the request methods that returns details with the response: executeWithDetails(), enqueueWithDetails(), or rxWithDetails(). These methods return a Response<T> object, where T is the expected response model. Use the getResult() method to access the response object for the method, and use the getHeaders() method to access information in response headers.

Example request to access response headers

Response<ReturnType> response = naturalLanguageClassifier.methodName(parameters)
  .executeWithDetails();
// Access response from methodName
ReturnType returnValue = response.getResult();
// Access information in response headers
Headers responseHeaders = response.getHeaders();

All response data is available in the Response<T> object that is returned by each method. To access information in the response object, use the following properties.

Property	Description
`result`	Returns the response for the service-specific method.
`headers`	Returns the response header information.
`status`	Returns the HTTP status code.

Example request to access response headers

naturalLanguageClassifier.methodName(parameters)
  .then(response => {
    console.log(response.headers);
  })
  .catch(err => {
    console.log('error:', err);
  });

The return value from all service methods is a DetailedResponse object. To access information in the result object or response headers, use the following methods.

DetailedResponse

Method	Description
`get_result()`	Returns the response for the service-specific method.
`get_headers()`	Returns the response header information.
`get_status_code()`	Returns the HTTP status code.

Example request to access response headers

natural_language_classifier.set_detailed_response(True)
response = natural_language_classifier.methodName(parameters)
# Access response from methodName
print(json.dumps(response.get_result(), indent=2))
# Access information in response headers
print(response.get_headers())
# Access HTTP response status
print(response.get_status_code())

The return value from all service methods is a DetailedResponse object. To access information in the response object, use the following properties.

DetailedResponse

Property	Description
`result`	Returns the response for the service-specific method.
`headers`	Returns the response header information.
`status`	Returns the HTTP status code.

Example request to access response headers

response = natural_language_classifier.methodName(parameters)
# Access response from methodName
print response.result
# Access information in response headers
print response.headers
# Access HTTP response status
print response.status

The return value from all service methods is a DetailedResponse object. To access information in the response object or response headers, use the following methods.

DetailedResponse

Method	Description
`GetResult()`	Returns the response for the service-specific method.
`GetHeaders()`	Returns the response header information.
`GetStatusCode()`	Returns the HTTP status code.

Example request to access response headers

import (
  "github.com/IBM/go-sdk-core/core"
  "github.com/watson-developer-cloud/go-sdk/naturallanguageclassifierv1"
)
result, response, responseErr := naturalLanguageClassifier.MethodName(
  &methodOptions{})
// Access result
core.PrettyPrint(response.GetResult(), "Result ")

// Access response headers
core.PrettyPrint(response.GetHeaders(), "Headers ")

// Access status code
core.PrettyPrint(response.GetStatusCode(), "Status Code ")

All response data is available in the WatsonResponse<T> object that is returned in each method's completionHandler.

Example request to access response headers

naturalLanguageClassifier.methodName(parameters) {
  response, error in

  guard let result = response?.result else {
    print(error?.localizedDescription ?? "unknown error")
    return
  }
  print(result) // The data returned by the service
  print(response?.statusCode)
  print(response?.headers)
}

The response contains fields for response headers, response JSON, and the status code.

DetailedResponse

Property	Description
`Result`	Returns the result for the service-specific method.
`Response`	Returns the raw JSON response for the service-specific method.
`Headers`	Returns the response header information.
`StatusCode`	Returns the HTTP status code.

Example request to access response headers

var results = naturalLanguageClassifier.MethodName(parameters);

var result = results.Result;            //  The result object
var responseHeaders = results.Headers;  //  The response headers
var responseJson = results.Response;    //  The raw response JSON
var statusCode = results.StatusCode;    //  The response status code

The response contains fields for response headers, response JSON, and the status code.

DetailedResponse

Property	Description
`Result`	Returns the result for the service-specific method.
`Response`	Returns the raw JSON response for the service-specific method.
`Headers`	Returns the response header information.
`StatusCode`	Returns the HTTP status code.

Example request to access response headers

private void Example()
{
    naturalLanguageClassifier.MethodName(Callback, Parameters);
}

private void Callback(DetailedResponse<ResponseType> response, IBMError error)
{
    var result = response.Result;                 //  The result object
    var responseHeaders = response.Headers;       //  The response headers
    var responseJson = reresponsesults.Response;  //  The raw response JSON
    var statusCode = response.StatusCode;         //  The response status code
}

Data collection

By default, Natural Language Classifier service instances that are not part of Premium plans collect data about API requests and their results. This data is collected only to improve the services for future users. The collected data is not shared or made public. Data is not collected for services that are part of Premium plans.

To prevent IBM usage of your data for an API request, set the X-Watson-Learning-Opt-Out header parameter to true.

You must set the header on each request that you do not want IBM to access for general service improvements.

You can set the header by using the setDefaultHeaders method of the service object.

You can set the header by using the headers parameter when you create the service object.

You can set the header by using the set_default_headers method of the service object.

You can set the header by using the add_default_headers method of the service object.

You can set the header by using the SetDefaultHeaders method of the service object.

You can set the header by adding it to the defaultHeaders property of the service object.

You can set the header by using the WithHeader() method of the service object.

Example request

curl -u "apikey:{apikey}" -H "X-Watson-Learning-Opt-Out: true" "{url}/{method}"

Example request

Map<String, String> headers = new HashMap<String, String>();
headers.put("X-Watson-Learning-Opt-Out", "true");

naturalLanguageClassifier.setDefaultHeaders(headers);

Example request

const NaturalLanguageClassifierV1 = require('ibm-watson/natural-language-classifier/v1');
const { IamAuthenticator } = require('ibm-watson/auth');

const naturalLanguageClassifier = new NaturalLanguageClassifierV1({
  authenticator: new IamAuthenticator({
    apikey: '{apikey}',
  }),
  serviceUrl: '{url}',
  headers: {
    'X-Watson-Learning-Opt-Out': 'true'
  }
});

Example request

natural_language_classifier.set_default_headers({'x-watson-learning-opt-out': "true"})

Example request

natural_language_classifier.add_default_headers(headers: {"x-watson-learning-opt-out" => "true"})

Example request

import "net/http"

headers := http.Header{}
headers.Add("x-watson-learning-opt-out", "true")
naturalLanguageClassifier.SetDefaultHeaders(headers)

Example request

naturalLanguageClassifier.defaultHeaders["X-Watson-Learning-Opt-Out"] = "true"

Example request

IamAuthenticator authenticator = new IamAuthenticator(
    apikey: "{apikey}"
    );

NaturalLanguageClassifierService naturalLanguageClassifier = new NaturalLanguageClassifierService(authenticator);
naturalLanguageClassifier.SetServiceUrl("{url}");

naturalLanguageClassifier.WithHeader("X-Watson-Learning-Opt-Out", "true");

Example request

var authenticator = new IamAuthenticator(
    apikey: "{apikey}"
);

while (!authenticator.CanAuthenticate())
    yield return null;

var naturalLanguageClassifier = new NaturalLanguageClassifierService(authenticator);
naturalLanguageClassifier.SetServiceUrl("{url}");

naturalLanguageClassifier.WithHeader("X-Watson-Learning-Opt-Out", "true");

Synchronous and asynchronous requests

The Java SDK supports both synchronous (blocking) and asynchronous (non-blocking) execution of service methods. All service methods implement the ServiceCall interface.

To call a method synchronously, use the execute method of the ServiceCall interface. You can call the execute method directly from an instance of the service.
To call a method asynchronously, use the enqueue method of the ServiceCall interface to receive a callback when the response arrives. The ServiceCallback interface of the method's argument provides onResponse and onFailure methods that you override to handle the callback.

The Ruby SDK supports both synchronous (blocking) and asynchronous (non-blocking) execution of service methods. All service methods implement the Concurrent::Async module. When you use the synchronous or asynchronous methods, an IVar object is returned. You access the DetailedResponse object by calling ivar_object.value.

For more information about the Ivar object, see the IVar class docs.

To call a method synchronously, either call the method directly or use the .await chainable method of the Concurrent::Async module.

Calling a method directly (without .await) returns a DetailedResponse object.
To call a method asynchronously, use the .async chainable method of the Concurrent::Async module.

You can call the .await and .async methods directly from an instance of the service.

Example synchronous request

ReturnType returnValue = naturalLanguageClassifier.method(parameters).execute();

Example asynchronous request

naturalLanguageClassifier.method(parameters).enqueue(new ServiceCallback<ReturnType>() {
  @Override public void onResponse(ReturnType response) {
    . . .
  }
  @Override public void onFailure(Exception e) {
    . . .
  }
});

Example synchronous request

response = natural_language_classifier.method_name(parameters)

or

response = natural_language_classifier.await.method_name(parameters)

Example asynchronous request

response = natural_language_classifier.async.method_name(parameters)

Rate limiting

The service is limited to 80 requests per second on a per-service-instance basis. An HTTP 429 Too Many Requests response status code indicates that the rate limit has been exceeded.

The status must be Available before you can use the classifier to classify calls.

GET /v1/classifiers/{classifier_id}/classify

Rate limit

This operation is limited to 80 requests per second.

Request

Path Parameters

classifier_id
string
Classifier ID to use.

Query Parameters

text
string
Phrase to classify. The maximum length is 2048 characters.

Constraints: length ≤ 2048

Example requests

curl -G -u "apikey:{apikey}" "{url}/v1/classifiers/10D41B-nlc-1/classify?text=How%20hot%20will%20it%20be%20today%3F"

Example request

var authenticator = new IamAuthenticator(
    apikey: "{apikey}"
);

while (!authenticator.CanAuthenticate())
    yield return null;

var naturalLanguageClassifier = new NaturalLanguageClassifierService(authenticator);
naturalLanguageClassifier.SetServiceUrl("{url}");

Classifier getClassifierResponse = null;
service.GetClassifier(
    callback: (DetailedResponse<Classifier> response, IBMError error) =>
    {
        Log.Debug("NaturalLanguageClassifierServiceV1", "GetClassifier result: {0}", response.Response);
        getClassifierResponse = response.Result;
    },
    classifierId: "10D41B-nlc-1"
);

while (getClassifierResponse == null)
    yield return null;

Response

Response Body

Classification

Response from the classifier for a phrase.

Status Code

200
OK
400
Bad request. Likely caused by a classifier status other than Available or by a missing text parameter.
404
The classifier does not exist or is not available to the user.
429
Too Many Requests. The rate limit is exceeded for this service instance.

Example responses

Status 200

{
  "classifier_id": "10D41B-nlc-1",
  "url": "{url}/v1/classifiers/10D41B-nlc-1/classify?text=How%20hot%20wil/10D41B-nlc-1",
  "text": "How hot will it be today?",
  "top_class": "temperature",
  "classes": [
    {
      "class_name": "temperature",
      "confidence": 0.9998201258549781
    },
    {
      "class_name": "conditions",
      "confidence": 0.00017987414502176904
    }
  ]
}

Status 429

{
  "code": "429",
  "error": "Error: Too Many Requests"
}

Returns label information for the input. The status must be Available before you can use the classifier to classify text.

POST /v1/classifiers/{classifier_id}/classify

(naturalLanguageClassifier *NaturalLanguageClassifierV1) Classify(classifyOptions *ClassifyOptions) (result *Classification, response *core.DetailedResponse, err error)

(naturalLanguageClassifier *NaturalLanguageClassifierV1) ClassifyWithContext(ctx context.Context, classifyOptions *ClassifyOptions) (result *Classification, response *core.DetailedResponse, err error)

ServiceCall<Classification> classify(ClassifyOptions classifyOptions)

classify(params)

classify(self,
        classifier_id: str,
        text: str,
        **kwargs
    ) -> DetailedResponse

classify(classifier_id:, text:)

func classify(
    classifierID: String,
    text: String,
    headers: [String: String]? = nil,
    completionHandler: @escaping (WatsonResponse<Classification>?, WatsonError?) -> Void)

Classify(string classifierId, string text)

Classify(Callback<Classification> callback, string classifierId, string text)

Rate limit

This operation is limited to 80 requests per second.

Request

Instantiate the ClassifyOptions struct and set the fields to provide parameter values for the Classify method.

Use the ClassifyOptions.Builder to create a ClassifyOptions object that contains the parameter values for the classify method.

Path Parameters

classifier_id
string
Classifier ID to use.

Request Body

ClassifyInput

Phrase to classify.

parameter

WithContext method only

ClassifyOptions

The Classify options.

ClassifyOptions

The classify options.

parameters

classifierId
string
Classifier ID to use.
text
string
The submitted phrase. The maximum length is 2048 characters.

Constraints: length ≤ 2048

parameters

classifier_id
str
Classifier ID to use.
text
str
The submitted phrase. The maximum length is 2048 characters.

Constraints: length ≤ 2048

parameters

classifier_id
String
Classifier ID to use.
text
String
The submitted phrase. The maximum length is 2048 characters.

Constraints: length ≤ 2048

parameters

classifierID
String
Classifier ID to use.
text
String
The submitted phrase. The maximum length is 2048 characters.

Constraints: length ≤ 2048

parameters

classifierId
string
Classifier ID to use.
text
string
The submitted phrase. The maximum length is 2048 characters.

Constraints: length ≤ 2048

parameters

classifierId
string
Classifier ID to use.
text
string
The submitted phrase. The maximum length is 2048 characters.

Constraints: length ≤ 2048

Example requests

curl -X POST -u "apikey:{apikey}" -H "Content-Type:application/json" -d "{\"text\":\"How hot will it be today?\"}" "{url}/v1/classifiers/10D41B-nlc-1/classify"

Example request

IamAuthenticator authenticator = new IamAuthenticator(
    apikey: "{apikey}"
    );

NaturalLanguageClassifierService naturalLanguageClassifier = new NaturalLanguageClassifierService(authenticator);
naturalLanguageClassifier.SetServiceUrl("{url}");

var result = service.Classify(
    classifierId: "10D41B-nlc-1",
    text: "How hot will it be today?"
    );

Console.WriteLine(result.Response);

Example request

package main

import (
  "encoding/json"
  "fmt"
  "github.com/IBM/go-sdk-core/core"
  "github.com/watson-developer-cloud/go-sdk/naturallanguageclassifierv1"
)

func main() {
  authenticator := &core.IamAuthenticator{
    ApiKey: "{apikey}",
  }

  options := &naturallanguageclassifierv1.NaturalLanguageClassifierV1Options{
    Authenticator: authenticator,
  }

  naturalLanguageClassifier, naturalLanguageClassifierErr := naturallanguageclassifierv1.NewNaturalLanguageClassifierV1(options)

  if naturalLanguageClassifierErr != nil {
    panic(naturalLanguageClassifierErr)
  }

  naturalLanguageClassifier.SetServiceURL("{url}")

  result, _, responseErr := naturalLanguageClassifier.Classify(
    &naturallanguageclassifierv1.ClassifyOptions{
      ClassifierID: core.StringPtr("10D41B-nlc-1"),
      Text: core.StringPtr("How hot will it be today?"),
    },
  )
  if responseErr != nil {
    panic(responseErr)
  }
  b, _ := json.MarshalIndent(result, "", "  ")
  fmt.Println(string(b))
}

Example request

IamAuthenticator authenticator = new IamAuthenticator("{apikey}");
NaturalLanguageClassifier naturalLanguageClassifier = new NaturalLanguageClassifier(authenticator);
naturalLanguageClassifier.setServiceUrl("{url}");

ClassifyOptions classifyOptions = new ClassifyOptions.Builder()
  .classifierId("10D41B-nlc-1")
  .text("How hot will it be today?")
  .build();
Classification classification = naturalLanguageClassifier.classify(classifyOptions)
  .execute().getResult();
System.out.println(classification);

Example request

const NaturalLanguageClassifierV1 = require('ibm-watson/natural-language-classifier/v1');
const { IamAuthenticator } = require('ibm-watson/auth');

const naturalLanguageClassifier = new NaturalLanguageClassifierV1({
  authenticator: new IamAuthenticator({
    apikey: '{apikey}',
  }),
  serviceUrl: '{url}',
});

const classifyParams = {
  text: 'How hot will it be today?',
  classifierId: '{classifier_id}',
};

naturalLanguageClassifier.classify(classifyParams)
  .then(response => {
    const classification = response.result;
    console.log(JSON.stringify(classification, null, 2)); 
  })
  .catch(err => {
    console.log('error:', err);
  });

Example request

import json
from ibm_watson import NaturalLanguageClassifierV1
from ibm_cloud_sdk_core.authenticators import IAMAuthenticator

authenticator = IAMAuthenticator('{apikey}')
natural_language_classifier = NaturalLanguageClassifierV1(
    authenticator=authenticator
)

natural_language_classifier.set_service_url('{url}')

classes = natural_language_classifier.classify(
    '10D41B-nlc-1',
    'How hot will it be today?').get_result()
print(json.dumps(classes, indent=2))

Example request

require "json"
require "ibm_watson/authenticators"
require "ibm_watson/natural_language_classifier_v1"
include IBMWatson

authenticator = Authenticators::IamAuthenticator.new(
  apikey: "{apikey}"
)
natural_language_classifier = NaturalLanguageClassifierV1.new(
  authenticator: authenticator
)
natural_language_classifier.service_url = "{url}"

classes = natural_language_classifier.classify(
  classifier_id: "10D41B-nlc-1",
  text: "How hot will it be today?"
)
puts JSON.pretty_generate(classes.result)

Example request

let authenticator = WatsonIAMAuthenticator(apiKey: "{apikey}")
let naturalLanguageClassifier = NaturalLanguageClassifier(authenticator: authenticator)
naturalLanguageClassifier.serviceURL = "{url}"

naturalLanguageClassifier.classify(classifierID: "{classifier_id}", text: "How hot will it be today?") {
  response, error in

  guard let classification = response?.result else {
    print(error?.localizedDescription ?? "unknown error")
    return
  }

  print(classification)
}

Example request

var authenticator = new IamAuthenticator(
    apikey: "{apikey}"
);

while (!authenticator.CanAuthenticate())
    yield return null;

var naturalLanguageClassifier = new NaturalLanguageClassifierService(authenticator);
naturalLanguageClassifier.SetServiceUrl("{url}");

Classification classifyResponse = null;
service.Classify(
    callback: (DetailedResponse<Classification> response, IBMError error) =>
    {
        Log.Debug("NaturalLanguageClassifierServiceV1", "Classify result: {0}", response.Response);
        classifyResponse = response.Result;
    },
    classifierId: "10D41B-nlc-1",
    text: "How hot will it be today?"
);

while (classifyResponse == null)
    yield return null;

Response

Response Body

Classification

Response from the classifier for a phrase.

Classification

Response from the classifier for a phrase.

Classification

Response from the classifier for a phrase.

Classification

Response from the classifier for a phrase.

Classification

Response from the classifier for a phrase.

Classification

Response from the classifier for a phrase.

Classification

Response from the classifier for a phrase.

Classification

Response from the classifier for a phrase.

Classification

Response from the classifier for a phrase.

Status Code

200
OK.
400
Bad request. Likely caused by a classifier status other than Available or by malformed JSON.
404
The classifier does not exist or is not available to the user.
429
Too Many Requests. The rate limit is exceeded for this service instance.

Example responses

Status 200

{
  "classifier_id": "10D41B-nlc-1",
  "url": "{url}/v1/classifiers/10D41B-nlc-1/classify?text=How%20hot%20wil/10D41B-nlc-1",
  "text": "How hot will it be today?",
  "top_class": "temperature",
  "classes": [
    {
      "class_name": "temperature",
      "confidence": 0.9998201258549781
    },
    {
      "class_name": "conditions",
      "confidence": 0.00017987414502176904
    }
  ]
}

Success example

{
  "classifier_id": "10D41B-nlc-1",
  "url": "{url}/v1/classifiers/10D41B-nlc-1/classify?text=How%20hot%20wil/10D41B-nlc-1",
  "text": "How hot will it be today?",
  "top_class": "temperature",
  "classes": [
    {
      "class_name": "temperature",
      "confidence": 0.9998201258549781
    },
    {
      "class_name": "conditions",
      "confidence": 0.00017987414502176904
    }
  ]
}

Status 429

{
  "code": "429",
  "error": "Error: Too Many Requests"
}

Error example

{
  "code": "429",
  "error": "Error: Too Many Requests"
}

Returns label information for multiple phrases. The status must be Available before you can use the classifier to classify text.

Note that classifying Japanese texts is a beta feature.

Returns label information for multiple phrases. The status must be Available before you can use the classifier to classify text.

Note that classifying Japanese texts is a beta feature.

Returns label information for multiple phrases. The status must be Available before you can use the classifier to classify text.

Note that classifying Japanese texts is a beta feature.

Returns label information for multiple phrases. The status must be Available before you can use the classifier to classify text.

Note that classifying Japanese texts is a beta feature.

Returns label information for multiple phrases. The status must be Available before you can use the classifier to classify text.

Note that classifying Japanese texts is a beta feature.

Returns label information for multiple phrases. The status must be Available before you can use the classifier to classify text.

Note that classifying Japanese texts is a beta feature.

Returns label information for multiple phrases. The status must be Available before you can use the classifier to classify text.

Note that classifying Japanese texts is a beta feature.

Returns label information for multiple phrases. The status must be Available before you can use the classifier to classify text.

Note that classifying Japanese texts is a beta feature.

Returns label information for multiple phrases. The status must be Available before you can use the classifier to classify text.

Note that classifying Japanese texts is a beta feature.

POST /v1/classifiers/{classifier_id}/classify_collection

(naturalLanguageClassifier *NaturalLanguageClassifierV1) ClassifyCollection(classifyCollectionOptions *ClassifyCollectionOptions) (result *ClassificationCollection, response *core.DetailedResponse, err error)

(naturalLanguageClassifier *NaturalLanguageClassifierV1) ClassifyCollectionWithContext(ctx context.Context, classifyCollectionOptions *ClassifyCollectionOptions) (result *ClassificationCollection, response *core.DetailedResponse, err error)

ServiceCall<ClassificationCollection> classifyCollection(ClassifyCollectionOptions classifyCollectionOptions)

classifyCollection(params)

classify_collection(self,
        classifier_id: str,
        collection: List['ClassifyInput'],
        **kwargs
    ) -> DetailedResponse

classify_collection(classifier_id:, collection:)

func classifyCollection(
    classifierID: String,
    collection: [ClassifyInput],
    headers: [String: String]? = nil,
    completionHandler: @escaping (WatsonResponse<ClassificationCollection>?, WatsonError?) -> Void)

ClassifyCollection(string classifierId, List<ClassifyInput> collection)

ClassifyCollection(Callback<ClassificationCollection> callback, string classifierId, List<ClassifyInput> collection)

Rate limit

This operation is limited to 80 requests per second.

Request

Instantiate the ClassifyCollectionOptions struct and set the fields to provide parameter values for the ClassifyCollection method.

Use the ClassifyCollectionOptions.Builder to create a ClassifyCollectionOptions object that contains the parameter values for the classifyCollection method.

Path Parameters

classifier_id
string
Classifier ID to use.

Request Body

ClassifyCollectionInput

Phrase to classify. You can submit up to 30 text phrases in a request.

parameter

WithContext method only

ClassifyCollectionOptions

The ClassifyCollection options.

ClassifyCollectionOptions

The classifyCollection options.

parameters

classifierId
string
Classifier ID to use.
collection
The submitted phrases.

Examples:
value
_source
_lines
_html

parameters

classifier_id
str
Classifier ID to use.
collection
The submitted phrases.

Examples:
value
_source
_lines
_html

parameters

classifier_id
String
Classifier ID to use.
collection
The submitted phrases.

Examples:
value
_source
_lines
_html

parameters

classifierID
String
Classifier ID to use.
collection
The submitted phrases.

Examples:
value
_source
_lines
_html

parameters

classifierId
string
Classifier ID to use.
collection
The submitted phrases.

Examples:
value
_source
_lines
_html

parameters

classifierId
string
Classifier ID to use.
collection
The submitted phrases.

Examples:
value
_source
_lines
_html

Example requests

curl -X POST -u "apikey:{apikey}" -H "Content-Type:application/json" -d "{\"collection\":[{\"text\":\"How hot will it be today?\"},{\"text\":\"Is it hot outside?\"}]}" "{url}/v1/classifiers/10D41B-nlc-1/classify_collection"

Example request

IamAuthenticator authenticator = new IamAuthenticator(
    apikey: "{apikey}"
    );

NaturalLanguageClassifierService naturalLanguageClassifier = new NaturalLanguageClassifierService(authenticator);
naturalLanguageClassifier.SetServiceUrl("{url}");

var collection = new List<ClassifyInput>()
{
    new ClassifyInput()
    {
        Text = "How hot will it be today?"
    },
    new ClassifyInput()
    {
        Text = "Is it hot outside?"
    }
};

var result = service.ClassifyCollection(
    classifierId: "10D41B-nlc-1",
    collection: collection
    );

Console.WriteLine(result.Response);

Example request

package main

import (
  "encoding/json"
  "fmt"
  "github.com/IBM/go-sdk-core/core"
  "github.com/watson-developer-cloud/go-sdk/naturallanguageclassifierv1"
)

func main() {
  authenticator := &core.IamAuthenticator{
    ApiKey: "{apikey}",
  }

  options := &naturallanguageclassifierv1.NaturalLanguageClassifierV1Options{
    Authenticator: authenticator,
  }

  naturalLanguageClassifier, naturalLanguageClassifierErr := naturallanguageclassifierv1.NewNaturalLanguageClassifierV1(options)

  if naturalLanguageClassifierErr != nil {
    panic(naturalLanguageClassifierErr)
  }

  naturalLanguageClassifier.SetServiceURL("{url}")

  result, _, responseErr := naturalLanguageClassifier.ClassifyCollection(
    &naturallanguageclassifierv1.ClassifyCollectionOptions{
      ClassifierID: core.StringPtr("10D41B-nlc-1"),
      Collection: []naturallanguageclassifierv1.ClassifyInput{
        naturallanguageclassifierv1.ClassifyInput{
          Text: core.StringPtr("How hot will it be today?"),
        },
        naturallanguageclassifierv1.ClassifyInput{
          Text: core.StringPtr("Is it hot outside?"),
        },
      },
    },
  )
  if responseErr != nil {
    panic(responseErr)
  }
  b, _ := json.MarshalIndent(result, "", "  ")
  fmt.Println(string(b))
}

Example requests

IamAuthenticator authenticator = new IamAuthenticator("{apikey}");
NaturalLanguageClassifier naturalLanguageClassifier = new NaturalLanguageClassifier(authenticator);
naturalLanguageClassifier.setServiceUrl("{url}");

ClassifyInput input1 = new ClassifyInput();
input1.setText("How hot will it be today?");
ClassifyInput input2 = new ClassifyInput();
input2.setText("Is it hot outside?");

List<ClassifyInput> inputCollection = Arrays.asList(input1, input2);
ClassifyCollectionOptions classifyOptions = new ClassifyCollectionOptions.Builder()
  .classifierId(classifierId)
  .collection(inputCollection)
  .build();
ClassificationCollection result = naturalLanguageClassifier
  .classifyCollection(classifyOptions).execute().getResult();
System.out.println(result);

Example requests

const NaturalLanguageClassifierV1 = require('ibm-watson/natural-language-classifier/v1');
const { IamAuthenticator } = require('ibm-watson/auth');

const naturalLanguageClassifier = new NaturalLanguageClassifierV1({
  authenticator: new IamAuthenticator({
    apikey: '{apikey}',
  }),
  serviceUrl: '{url}',
});

const classifyCollectionParams = {
  collection: [{ text: 'sometext' }],
  classifierId: '{classifier_id}',
};

naturalLanguageClassifier.classifyCollection(classifyCollectionParams)
  .then(response => {
    const classificationCollection = response.result;
    console.log(JSON.stringify(classificationCollection, null, 2)); 
  })
  .catch(err => {
    console.log('error:', err);
  });

Example requests

import json
from ibm_watson import NaturalLanguageClassifierV1
from ibm_cloud_sdk_core.authenticators import IAMAuthenticator

authenticator = IAMAuthenticator('{apikey}')
natural_language_classifier = NaturalLanguageClassifierV1(
    authenticator=authenticator
)

natural_language_classifier.set_service_url('{url}')

classes = natural_language_classifier.classify_collection(
    '10D41B-nlc-1', 
    [{'text':'How hot will it be today?'}, {'text':'Is it hot outside?'}]).get_result()
print(json.dumps(classes, indent=2))

Example requests

require "json"
require "ibm_watson/authenticators"
require "ibm_watson/natural_language_classifier_v1"
include IBMWatson

authenticator = Authenticators::IamAuthenticator.new(
  apikey: "{apikey}"
)
natural_language_classifier = NaturalLanguageClassifierV1.new(
  authenticator: authenticator
)
natural_language_classifier.service_url = "{url}"

classes = natural_language_classifier.classify_collection(
  classifier_id: "10D41B-nlc-1",
  collection: [
    {text: "How hot will it be today?"},
    {text: "Is it hot outside?"}
  ]
)
puts JSON.pretty_generate(classes.result)

Example request

let authenticator = WatsonIAMAuthenticator(apiKey: "{apikey}")
let naturalLanguageClassifier = NaturalLanguageClassifier(authenticator: authenticator)
naturalLanguageClassifier.serviceURL = "{url}"

naturalLanguageClassifier.classifyCollection(
  classifierID: "{classifier_id}",
  collection: [
    ClassifyInput(text: "How hot will it be today?"),
    ClassifyInput(text: "Is it hot outside?")
  ])
{
  response, error in

  guard let classifications = response?.result else {
    print(error?.localizedDescription ?? "unknown error")
    return
  }

  print(classifications)
}

Example request

var authenticator = new IamAuthenticator(
    apikey: "{apikey}"
);

while (!authenticator.CanAuthenticate())
    yield return null;

var naturalLanguageClassifier = new NaturalLanguageClassifierService(authenticator);
naturalLanguageClassifier.SetServiceUrl("{url}");

ClassificationCollection classifyCollectionResponse = null;
List<ClassifyInput> collection = new List<ClassifyInput>()
{
    new ClassifyInput()
    {
        Text = "How hot will it be today?"
    },
    new ClassifyInput()
    {
        Text = "Is it hot outside?"
    }
};

service.ClassifyCollection(
    callback: (DetailedResponse<ClassificationCollection> response, IBMError error) =>
    {
        Log.Debug("NaturalLanguageClassifierServiceV1", "ClassifyCollection result: {0}", response.Response);
        classifyCollectionResponse = response.Result;
    },
    classifierId: "10D41B-nlc-1",
    collection: collection
);

while (classifyCollectionResponse == null)
    yield return null;

Response

Response Body

ClassificationCollection

Response from the classifier for multiple phrases.

ClassificationCollection

Response from the classifier for multiple phrases.

ClassificationCollection

Response from the classifier for multiple phrases.

ClassificationCollection

Response from the classifier for multiple phrases.

ClassificationCollection

Response from the classifier for multiple phrases.

ClassificationCollection

Response from the classifier for multiple phrases.

ClassificationCollection

Response from the classifier for multiple phrases.

ClassificationCollection

Response from the classifier for multiple phrases.

ClassificationCollection

Response from the classifier for multiple phrases.

Status Code

200
OK.
400
Bad request. Likely caused by a classifier status other than Available or by malformed JSON.
404
The classifier does not exist or is not available to the user.
429
Too Many Requests. The rate limit is exceeded for this service instance.

Example responses

Status 200

{
  "classifier_id": "10D41B-nlc-1",
  "url": "{url}/v1/classifiers/10D41B-nlc-1",
  "collection": [
    {
      "text": "How hot will it be today?",
      "top_class": "temperature",
      "classes": [
        {
          "class_name": "temperature",
          "confidence": 0.9930558798985937
        },
        {
          "class_name": "conditions",
          "confidence": 0.006944120101406304
        }
      ]
    },
    {
      "text": "Is it hot outside?",
      "top_class": "temperature",
      "classes": [
        {
          "class_name": "temperature",
          "confidence": 1
        },
        {
          "class_name": "conditions",
          "confidence": 0
        }
      ]
    }
  ]
}

Success example

{
  "classifier_id": "10D41B-nlc-1",
  "url": "{url}/v1/classifiers/10D41B-nlc-1",
  "collection": [
    {
      "text": "How hot will it be today?",
      "top_class": "temperature",
      "classes": [
        {
          "class_name": "temperature",
          "confidence": 0.9930558798985937
        },
        {
          "class_name": "conditions",
          "confidence": 0.006944120101406304
        }
      ]
    },
    {
      "text": "Is it hot outside?",
      "top_class": "temperature",
      "classes": [
        {
          "class_name": "temperature",
          "confidence": 1
        },
        {
          "class_name": "conditions",
          "confidence": 0
        }
      ]
    }
  ]
}

Status 429

{
  "code": "429",
  "error": "Error: Too Many Requests"
}

Error example

{
  "code": "429",
  "error": "Error: Too Many Requests"
}

Sends data to create and train a classifier and returns information about the new classifier.

POST /v1/classifiers

(naturalLanguageClassifier *NaturalLanguageClassifierV1) CreateClassifier(createClassifierOptions *CreateClassifierOptions) (result *Classifier, response *core.DetailedResponse, err error)

(naturalLanguageClassifier *NaturalLanguageClassifierV1) CreateClassifierWithContext(ctx context.Context, createClassifierOptions *CreateClassifierOptions) (result *Classifier, response *core.DetailedResponse, err error)

ServiceCall<Classifier> createClassifier(CreateClassifierOptions createClassifierOptions)

createClassifier(params)

create_classifier(self,
        training_metadata: BinaryIO,
        training_data: BinaryIO,
        **kwargs
    ) -> DetailedResponse

create_classifier(training_metadata:, training_data:)

func createClassifier(
    trainingMetadata: Data,
    trainingData: Data,
    headers: [String: String]? = nil,
    completionHandler: @escaping (WatsonResponse<Classifier>?, WatsonError?) -> Void)

CreateClassifier(System.IO.MemoryStream trainingMetadata, System.IO.MemoryStream trainingData)

CreateClassifier(Callback<Classifier> callback, System.IO.MemoryStream trainingMetadata, System.IO.MemoryStream trainingData)

Rate limit

This operation is limited to 80 requests per second.

Request

Instantiate the CreateClassifierOptions struct and set the fields to provide parameter values for the CreateClassifier method.

Use the CreateClassifierOptions.Builder to create a CreateClassifierOptions object that contains the parameter values for the createClassifier method.

Form Parameters

training_metadata
binary
Metadata in JSON format. The metadata identifies the language of the data, and an optional name to identify the classifier. Specify the language with the 2-letter primary language code as assigned in ISO standard 639.

Supported languages are English (en), Arabic (ar), French (fr), German, (de), Italian (it), Japanese (ja), Korean (ko), Brazilian Portuguese (pt), and Spanish (es).
training_data
binary
Training data in CSV format. Each text value must have at least one class. The data can include up to 3,000 classes and 20,000 records. For details, see Data preparation.

parameter

WithContext method only

CreateClassifierOptions

The CreateClassifier options.

CreateClassifierOptions

The createClassifier options.

parameters

trainingMetadata
NodeJS.ReadableStream | Buffer
Metadata in JSON format. The metadata identifies the language of the data, and an optional name to identify the classifier. Specify the language with the 2-letter primary language code as assigned in ISO standard 639.

Supported languages are English (en), Arabic (ar), French (fr), German, (de), Italian (it), Japanese (ja), Korean (ko), Brazilian Portuguese (pt), and Spanish (es).
trainingData
NodeJS.ReadableStream | Buffer
Training data in CSV format. Each text value must have at least one class. The data can include up to 3,000 classes and 20,000 records. For details, see Data preparation.

parameters

training_metadata
BinaryIO
Metadata in JSON format. The metadata identifies the language of the data, and an optional name to identify the classifier. Specify the language with the 2-letter primary language code as assigned in ISO standard 639.

Supported languages are English (en), Arabic (ar), French (fr), German, (de), Italian (it), Japanese (ja), Korean (ko), Brazilian Portuguese (pt), and Spanish (es).
training_data
BinaryIO
Training data in CSV format. Each text value must have at least one class. The data can include up to 3,000 classes and 20,000 records. For details, see Data preparation.

parameters

training_metadata
File
Metadata in JSON format. The metadata identifies the language of the data, and an optional name to identify the classifier. Specify the language with the 2-letter primary language code as assigned in ISO standard 639.

Supported languages are English (en), Arabic (ar), French (fr), German, (de), Italian (it), Japanese (ja), Korean (ko), Brazilian Portuguese (pt), and Spanish (es).
training_data
File
Training data in CSV format. Each text value must have at least one class. The data can include up to 3,000 classes and 20,000 records. For details, see Data preparation.

parameters

trainingMetadata
Data
Metadata in JSON format. The metadata identifies the language of the data, and an optional name to identify the classifier. Specify the language with the 2-letter primary language code as assigned in ISO standard 639.

Supported languages are English (en), Arabic (ar), French (fr), German, (de), Italian (it), Japanese (ja), Korean (ko), Brazilian Portuguese (pt), and Spanish (es).
trainingData
Data
Training data in CSV format. Each text value must have at least one class. The data can include up to 3,000 classes and 20,000 records. For details, see Data preparation.

parameters

trainingMetadata
System.IO.MemoryStream
Metadata in JSON format. The metadata identifies the language of the data, and an optional name to identify the classifier. Specify the language with the 2-letter primary language code as assigned in ISO standard 639.

Supported languages are English (en), Arabic (ar), French (fr), German, (de), Italian (it), Japanese (ja), Korean (ko), Brazilian Portuguese (pt), and Spanish (es).
trainingData
System.IO.MemoryStream
Training data in CSV format. Each text value must have at least one class. The data can include up to 3,000 classes and 20,000 records. For details, see Data preparation.

parameters

trainingMetadata
System.IO.MemoryStream
Metadata in JSON format. The metadata identifies the language of the data, and an optional name to identify the classifier. Specify the language with the 2-letter primary language code as assigned in ISO standard 639.

Supported languages are English (en), Arabic (ar), French (fr), German, (de), Italian (it), Japanese (ja), Korean (ko), Brazilian Portuguese (pt), and Spanish (es).
trainingData
System.IO.MemoryStream
Training data in CSV format. Each text value must have at least one class. The data can include up to 3,000 classes and 20,000 records. For details, see Data preparation.

Example request

curl -u "apikey:{apikey}" -F training_data=@train.csv -F training_metadata="{\"language\":\"en\",\"name\":\"My Classifier\"}" "{url}/v1/classifiers"

Example request

IamAuthenticator authenticator = new IamAuthenticator(
    apikey: "{apikey}"
    );

NaturalLanguageClassifierService naturalLanguageClassifier = new NaturalLanguageClassifierService(authenticator);
naturalLanguageClassifier.SetServiceUrl("{url}");

DetailedResponse<Classifier> result = null;
using (FileStream trainingDataFile = File.OpenRead("./train.csv"), metadataFile = File.OpenRead("./metadata.json"))
{
    using (MemoryStream trainingData = new MemoryStream(), metadata = new MemoryStream())
    {
        trainingDataFile.CopyTo(trainingData);
        metadataFile.CopyTo(metadata);
        result = service.CreateClassifier(
            trainingMetadata: metadata,
            trainingData: trainingData
            );
    }
}

Console.WriteLine(result.Response);

Example request

package main

import (
  "encoding/json"
  "fmt"
  "os"
  "github.com/IBM/go-sdk-core/core"
  "github.com/watson-developer-cloud/go-sdk/naturallanguageclassifierv1"
)

func main() {
  authenticator := &core.IamAuthenticator{
    ApiKey: "{apikey}",
  }

  options := &naturallanguageclassifierv1.NaturalLanguageClassifierV1Options{
    Authenticator: authenticator,
  }

  naturalLanguageClassifier, naturalLanguageClassifierErr := naturallanguageclassifierv1.NewNaturalLanguageClassifierV1(options)

  if naturalLanguageClassifierErr != nil {
    panic(naturalLanguageClassifierErr)
  }

  naturalLanguageClassifier.SetServiceURL("{url}")

  metadata, metadataErr := os.Open("./metadata.json")
  if metadataErr != nil {
    panic(metadataErr)
  }
  defer metadata.Close()
  trainingData, trainingDataErr := os.Open("./train.csv")
  if trainingDataErr != nil {
    panic(trainingDataErr)
  }
  defer trainingData.Close()
  result, _, responseErr := naturalLanguageClassifier.CreateClassifier(
    &naturallanguageclassifierv1.CreateClassifierOptions{
      TrainingData: trainingData,
      TrainingMetadata: metadata,
    },
  )
  if responseErr != nil {
    panic(responseErr)
  }
  b, _ := json.MarshalIndent(result, "", "  ")
  fmt.Println(string(b))
}

Example request

IamAuthenticator authenticator = new IamAuthenticator("{apikey}");
NaturalLanguageClassifier naturalLanguageClassifier = new NaturalLanguageClassifier(authenticator);
naturalLanguageClassifier.setServiceUrl("{url}");

CreateClassifierOptions createOptions = new CreateClassifierOptions.Builder()
  .trainingMetadata("./metadata.json")
  .trainingData(new File("./train.csv"))
  .build();
Classifier classifier = naturalLanguageClassifier.createClassifier(createOptions)
  .execute().getResult();
System.out.println(classifier);

Example request

const NaturalLanguageClassifierV1 = require('ibm-watson/natural-language-classifier/v1');
const { IamAuthenticator } = require('ibm-watson/auth');

const naturalLanguageClassifier = new NaturalLanguageClassifierV1({
  authenticator: new IamAuthenticator({
    apikey: '{apikey}',
  }),
  serviceUrl: '{url}',
});

const createClassifierParams = {
  trainingMetadata: fs.createReadStream('./metadata.json'),
  trainingData: fs.createReadStream('./data.csv'),
};

naturalLanguageClassifier.createClassifier(createClassifierParams)
  .then(response => {
    const classifier = response.result;
    console.log(JSON.stringify(classifier, null, 2)); 
  })
  .catch(err => {
    console.log('error:', err);
  });

Example request

import json
from ibm_watson import NaturalLanguageClassifierV1
from ibm_cloud_sdk_core.authenticators import IAMAuthenticator

authenticator = IAMAuthenticator('{apikey}')
natural_language_classifier = NaturalLanguageClassifierV1(
    authenticator=authenticator
)

natural_language_classifier.set_service_url('{url}')

with open('./train.csv', 'rb') as training_data:
    classifier = natural_language_classifier.create_classifier(
    training_data=training_data,
    # before Python SDK v1.0.0, name and language were top-level parameters
    training_metadata='{"name": "My Classifier","language": "en"}'
  ).get_result()
print(json.dumps(classifier, indent=2))

Example request

require "json"
require "ibm_watson/authenticators"
require "ibm_watson/natural_language_classifier_v1"
include IBMWatson

authenticator = Authenticators::IamAuthenticator.new(
  apikey: "{apikey}"
)
natural_language_classifier = NaturalLanguageClassifierV1.new(
  authenticator: authenticator
)
natural_language_classifier.service_url = "{url}"

File.open("./train.csv") do |training_data|
  classifier = natural_language_classifier.create_classifier(
    training_data: training_data,
    training_metadata: {name: "My Classifier",language: "en"}
  )
  puts JSON.pretty_generate(classifier.result)
end

Example request

let authenticator = WatsonIAMAuthenticator(apiKey: "{apikey}")
let naturalLanguageClassifier = NaturalLanguageClassifier(authenticator: authenticator)
naturalLanguageClassifier.serviceURL = "{url}"

let trainingMetadataURL = Bundle.main.url(forResource: "metadata", withExtension: "json")
let trainingMetadata = try! Data(contentsOf: trainingMetadataURL!)
let trainingDataURL = Bundle.main.url(forResource: "weather_data_train", withExtension: "csv")
let trainingData = try! Data(contentsOf: trainingDataURL!)

naturalLanguageClassifier.createClassifier(trainingMetadata: trainingMetadata, trainingData: trainingData) {
  response, error in

  guard let classifier = response?.result else {
    print(error?.localizedDescription ?? "unknown error")
    return
  }

  print(classifier)
}

Example request

var authenticator = new IamAuthenticator(
    apikey: "{apikey}"
);

while (!authenticator.CanAuthenticate())
    yield return null;

var naturalLanguageClassifier = new NaturalLanguageClassifierService(authenticator);
naturalLanguageClassifier.SetServiceUrl("{url}");

Classifier createClassifierResponse = null;
using (FileStream trainingDataFile = File.OpenRead("./train.csv"))
{
    using (FileStream metadataFile = File.OpenRead("./metadata.json"))
    {
        using (MemoryStream trainingData = new MemoryStream())
        {
            using (MemoryStream metadata = new MemoryStream())
            {
                trainingDataFile.CopyTo(trainingData);
                metadataFile.CopyTo(metadata);
                service.CreateClassifier(
                    callback: (DetailedResponse<Classifier> response, IBMError error) =>
                    {
                        Log.Debug("NaturalLanguageClassifierServiceV1", "CreateClassifier result: {0}", response.Response);
                        createClassifierResponse = response.Result;
                        createdClassifierId = createClassifierResponse.ClassifierId;
                    },
                    trainingMetadata: metadata,
                    trainingData: trainingData
                );

                while (createClassifierResponse == null)
                    yield return null;
            }
        }
    }
}

Response

Response Body

Classifier

A classifier for natural language phrases.

Classifier

A classifier for natural language phrases.

Classifier

A classifier for natural language phrases.

Classifier

A classifier for natural language phrases.

Classifier

A classifier for natural language phrases.

Classifier

A classifier for natural language phrases.

Classifier

A classifier for natural language phrases.

Classifier

A classifier for natural language phrases.

Classifier

A classifier for natural language phrases.

Status Code

200
OK.
400
Bad request. Might be caused by the size of the training data (too many classes or records or not enough records). Also returned when the training data or metadata is missing or malformed.
409
Conflict with this classifier. Likely caused by a temporary server issue or invalid training data. Make sure that your training data adheres to the format and data requirements and resubmit the request to try again.
429
Too Many Requests. The rate limit is exceeded for this service instance.

Example responses

Status 200

{
  "classifier_id": "10D41B-nlc-1",
  "name": "My Classifier",
  "language": "en",
  "created": "2015-05-28T18:01:57.393Z",
  "url": "{url}/v1/classifiers/10D41B-nlc-1",
  "status": "Training",
  "status_description": "The classifier instance is in its training phase, not yet ready to accept classify requests"
}

Success example

{
  "classifier_id": "10D41B-nlc-1",
  "name": "My Classifier",
  "language": "en",
  "created": "2015-05-28T18:01:57.393Z",
  "url": "{url}/v1/classifiers/10D41B-nlc-1",
  "status": "Training",
  "status_description": "The classifier instance is in its training phase, not yet ready to accept classify requests"
}

Status 400

{
  "code": 400,
  "error": "Too many classes",
  "description": "The training data has 3,001 classes, which is larger than the maximum of 3,000 classes."
}

Error example

{
  "code": 400,
  "error": "Too many classes",
  "description": "The training data has 3,001 classes, which is larger than the maximum of 3,000 classes."
}

Status 429

{
  "code": "429",
  "error": "Error: Too Many Requests"
}

Error example

{
  "code": "429",
  "error": "Error: Too Many Requests"
}

Returns an empty array if no classifiers are available.

GET /v1/classifiers

(naturalLanguageClassifier *NaturalLanguageClassifierV1) ListClassifiers(listClassifiersOptions *ListClassifiersOptions) (result *ClassifierList, response *core.DetailedResponse, err error)

(naturalLanguageClassifier *NaturalLanguageClassifierV1) ListClassifiersWithContext(ctx context.Context, listClassifiersOptions *ListClassifiersOptions) (result *ClassifierList, response *core.DetailedResponse, err error)

ServiceCall<ClassifierList> listClassifiers()

listClassifiers(params)

list_classifiers(self,
        **kwargs
    ) -> DetailedResponse

list_classifiers

func listClassifiers(
    headers: [String: String]? = nil,
    completionHandler: @escaping (WatsonResponse<ClassifierList>?, WatsonError?) -> Void)

ListClassifiers()

ListClassifiers(Callback<ClassifierList> callback)

Rate limit

This operation is limited to 80 requests per second.

Request

No Request Parameters

This method does not accept any request parameters.

parameter

WithContext method only

No Request Parameters

This method does not accept any request parameters.

No Request Parameters

This method does not accept any request parameters.

No Request Parameters

This method does not accept any request parameters.

No Request Parameters

This method does not accept any request parameters.

No Request Parameters

This method does not accept any request parameters.

No Request Parameters

This method does not accept any request parameters.

No Request Parameters

This method does not accept any request parameters.

No Request Parameters

This method does not accept any request parameters.

Example request

curl -u "apikey:{apikey}" "{url}/v1/classifiers"

Example request

IamAuthenticator authenticator = new IamAuthenticator(
    apikey: "{apikey}"
    );

NaturalLanguageClassifierService naturalLanguageClassifier = new NaturalLanguageClassifierService(authenticator);
naturalLanguageClassifier.SetServiceUrl("{url}");

var result = service.ListClassifiers();

Console.WriteLine(result.Response);

Example request

package main

import (
  "encoding/json"
  "fmt"
  "github.com/IBM/go-sdk-core/core"
  "github.com/watson-developer-cloud/go-sdk/naturallanguageclassifierv1"
)

func main() {
  authenticator := &core.IamAuthenticator{
    ApiKey: "{apikey}",
  }

  options := &naturallanguageclassifierv1.NaturalLanguageClassifierV1Options{
    Authenticator: authenticator,
  }

  naturalLanguageClassifier, naturalLanguageClassifierErr := naturallanguageclassifierv1.NewNaturalLanguageClassifierV1(options)

  if naturalLanguageClassifierErr != nil {
    panic(naturalLanguageClassifierErr)
  }

  naturalLanguageClassifier.SetServiceURL("{url}")

  result, _, responseErr := naturalLanguageClassifier.ListClassifiers(
    &naturallanguageclassifierv1.ListClassifiersOptions{},
  )
  if responseErr != nil {
    panic(responseErr)
  }
  b, _ := json.MarshalIndent(result, "", "  ")
  fmt.Println(string(b))
}

Example request

IamAuthenticator authenticator = new IamAuthenticator("{apikey}");
NaturalLanguageClassifier naturalLanguageClassifier = new NaturalLanguageClassifier(authenticator);
naturalLanguageClassifier.setServiceUrl("{url}");

ListClassifiersOptions listOptions = new ListClassifiersOptions.Builder()
  .build();
ClassifierList classifiers = naturalLanguageClassifier.listClassifiers(listOptions)
  .execute().getResult();
System.out.println(classifiers);

Example request

const NaturalLanguageClassifierV1 = require('ibm-watson/natural-language-classifier/v1');
const { IamAuthenticator } = require('ibm-watson/auth');

const naturalLanguageClassifier = new NaturalLanguageClassifierV1({
  authenticator: new IamAuthenticator({
    apikey: '{apikey}',
  }),
  serviceUrl: '{url}',
});

naturalLanguageClassifier.listClassifiers()
  .then(response => {
    const classifierList = response.result;
    console.log(JSON.stringify(classifierList, null, 2)); 
  })
  .catch(err => {
    console.log('error:', err);
  });

Example request

import json
from ibm_watson import NaturalLanguageClassifierV1
from ibm_cloud_sdk_core.authenticators import IAMAuthenticator

authenticator = IAMAuthenticator('{apikey}')
natural_language_classifier = NaturalLanguageClassifierV1(
    authenticator=authenticator
)

natural_language_classifier.set_service_url('{url}')

classifiers = natural_language_classifier.list_classifiers().get_result()
print(json.dumps(classifiers, indent=2))

Example request

require "json"
require "ibm_watson/authenticators"
require "ibm_watson/natural_language_classifier_v1"
include IBMWatson

authenticator = Authenticators::IamAuthenticator.new(
  apikey: "{apikey}"
)
natural_language_classifier = NaturalLanguageClassifierV1.new(
  authenticator: authenticator
)
natural_language_classifier.service_url = "{url}"

classifiers = natural_language_classifier.list_classifiers
puts JSON.pretty_generate(classifiers.result)

Example request

let authenticator = WatsonIAMAuthenticator(apiKey: "{apikey}")
let naturalLanguageClassifier = NaturalLanguageClassifier(authenticator: authenticator)
naturalLanguageClassifier.serviceURL = "{url}"

naturalLanguageClassifier.listClassifiers() {
  response, error in

  guard let classifiers = response?.result else {
    print(error?.localizedDescription ?? "unknown error")
    return
  }

  print(classifiers)
}

Example request

var authenticator = new IamAuthenticator(
    apikey: "{apikey}"
);

while (!authenticator.CanAuthenticate())
    yield return null;

var naturalLanguageClassifier = new NaturalLanguageClassifierService(authenticator);
naturalLanguageClassifier.SetServiceUrl("{url}");

ClassifierList listClassifiersResponse = null;
service.ListClassifiers(
    callback: (DetailedResponse<ClassifierList> response, IBMError error) =>
    {
        Log.Debug("NaturalLanguageClassifierServiceV1", "ListClassifiers result: {0}", response.Response);
        listClassifiersResponse = response.Result;
        classifierId = listClassifiersResponse.Classifiers[0].ClassifierId;
    }
);

while (listClassifiersResponse == null)
    yield return null;

Response

Response Body

ClassifierList

List of available classifiers.

ClassifierList

List of available classifiers.

ClassifierList

List of available classifiers.

ClassifierList

List of available classifiers.

ClassifierList

List of available classifiers.

ClassifierList

List of available classifiers.

ClassifierList

List of available classifiers.

ClassifierList

List of available classifiers.

ClassifierList

List of available classifiers.

Status Code

200
OK
429
Too Many Requests. The rate limit is exceeded for this service instance.

Example responses

Status 200

{
  "classifiers": [
    {
      "classifier_id": "10D41B-nlc-1",
      "url": "{url}/v1/classifiers/10D41B-nlc-1",
      "name": "My Classifier",
      "language": "en",
      "created": "2015-05-28T18:01:57.393Z"
    }
  ]
}

Success example

{
  "classifiers": [
    {
      "classifier_id": "10D41B-nlc-1",
      "url": "{url}/v1/classifiers/10D41B-nlc-1",
      "name": "My Classifier",
      "language": "en",
      "created": "2015-05-28T18:01:57.393Z"
    }
  ]
}

Status 429

{
  "code": "429",
  "error": "Error: Too Many Requests"
}

Error example

{
  "code": "429",
  "error": "Error: Too Many Requests"
}

Returns status and other information about a classifier.

GET /v1/classifiers/{classifier_id}

(naturalLanguageClassifier *NaturalLanguageClassifierV1) GetClassifier(getClassifierOptions *GetClassifierOptions) (result *Classifier, response *core.DetailedResponse, err error)

(naturalLanguageClassifier *NaturalLanguageClassifierV1) GetClassifierWithContext(ctx context.Context, getClassifierOptions *GetClassifierOptions) (result *Classifier, response *core.DetailedResponse, err error)

ServiceCall<Classifier> getClassifier(GetClassifierOptions getClassifierOptions)

getClassifier(params)

get_classifier(self,
        classifier_id: str,
        **kwargs
    ) -> DetailedResponse

get_classifier(classifier_id:)

func getClassifier(
    classifierID: String,
    headers: [String: String]? = nil,
    completionHandler: @escaping (WatsonResponse<Classifier>?, WatsonError?) -> Void)

GetClassifier(string classifierId)

GetClassifier(Callback<Classifier> callback, string classifierId)

Rate limit

This operation is limited to 80 requests per second.

Request

Instantiate the GetClassifierOptions struct and set the fields to provide parameter values for the GetClassifier method.

Use the GetClassifierOptions.Builder to create a GetClassifierOptions object that contains the parameter values for the getClassifier method.

Path Parameters

classifier_id
string
Classifier ID to query.

parameter

WithContext method only

GetClassifierOptions

The GetClassifier options.

GetClassifierOptions

The getClassifier options.

parameters

classifierId
string
Classifier ID to query.

parameters

classifier_id
str
Classifier ID to query.

parameters

classifier_id
String
Classifier ID to query.

parameters

classifierID
String
Classifier ID to query.

parameters

classifierId
string
Classifier ID to query.

parameters

classifierId
string
Classifier ID to query.

Example request

curl -u "apikey:{apikey}" "{url}/v1/classifiers/10D41B-nlc-1"

Example request

IamAuthenticator authenticator = new IamAuthenticator(
    apikey: "{apikey}"
    );

NaturalLanguageClassifierService naturalLanguageClassifier = new NaturalLanguageClassifierService(authenticator);
naturalLanguageClassifier.SetServiceUrl("{url}");

var result = service.GetClassifier(
    classifierId: "10D41B-nlc-1"
    );

Console.WriteLine(result.Response);

Example request

package main

import (
  "encoding/json"
  "fmt"
  "github.com/IBM/go-sdk-core/core"
  "github.com/watson-developer-cloud/go-sdk/naturallanguageclassifierv1"
)

func main() {
  authenticator := &core.IamAuthenticator{
    ApiKey: "{apikey}",
  }

  options := &naturallanguageclassifierv1.NaturalLanguageClassifierV1Options{
    Authenticator: authenticator,
  }

  naturalLanguageClassifier, naturalLanguageClassifierErr := naturallanguageclassifierv1.NewNaturalLanguageClassifierV1(options)

  if naturalLanguageClassifierErr != nil {
    panic(naturalLanguageClassifierErr)
  }

  naturalLanguageClassifier.SetServiceURL("{url}")

  result, _, responseErr := naturalLanguageClassifier.GetClassifier(
    &naturallanguageclassifierv1.GetClassifierOptions{
      ClassifierID: core.StringPtr("10D41B-nlc-1"),
    },
  )
  if responseErr != nil {
    panic(responseErr)
  }
  b, _ := json.MarshalIndent(result, "", "  ")
  fmt.Println(string(b))
}

Example request

IamAuthenticator authenticator = new IamAuthenticator("{apikey}");
NaturalLanguageClassifier naturalLanguageClassifier = new NaturalLanguageClassifier(authenticator);
naturalLanguageClassifier.setServiceUrl("{url}");

GetClassifierOptions getOptions = new GetClassifierOptions.Builder()
  .classifierId("10D41B-nlc-1")
  .build();
Classifier classifier = naturalLanguageClassifier.getClassifier(getOptions);
  .execute().getResult();
System.out.println(classifier);

Example request

const NaturalLanguageClassifierV1 = require('ibm-watson/natural-language-classifier/v1');
const { IamAuthenticator } = require('ibm-watson/auth');

const naturalLanguageClassifier = new NaturalLanguageClassifierV1({
  authenticator: new IamAuthenticator({
    apikey: '{apikey}',
  }),
  serviceUrl: '{url}',
});

const getClassifierParams = {
  classifierId: '{classifier_id}',
};

naturalLanguageClassifier.getClassifier(getClassifierParams)
  .then(response => {
    const classifier = response.result;
    console.log(JSON.stringify(classifier, null, 2)); 
  })
  .catch(err => {
    console.log('error:', err);
  });

Example request

import json
from ibm_watson import NaturalLanguageClassifierV1
from ibm_cloud_sdk_core.authenticators import IAMAuthenticator

authenticator = IAMAuthenticator('{apikey}')
natural_language_classifier = NaturalLanguageClassifierV1(
    authenticator=authenticator
)

natural_language_classifier.set_service_url('{url}')

status = natural_language_classifier.get_classifier('10D41B-nlc-1').get_result()
print (json.dumps(status, indent=2))

Example request

require "json"
require "ibm_watson/authenticators"
require "ibm_watson/natural_language_classifier_v1"
include IBMWatson

authenticator = Authenticators::IamAuthenticator.new(
  apikey: "{apikey}"
)
natural_language_classifier = NaturalLanguageClassifierV1.new(
  authenticator: authenticator
)
natural_language_classifier.service_url = "{url}"

status = natural_language_classifier.get_classifier(
  classifier_id: "10D41B-nlc-1"
)
puts JSON.pretty_generate(status.result)

Example request

let authenticator = WatsonIAMAuthenticator(apiKey: "{apikey}")
let naturalLanguageClassifier = NaturalLanguageClassifier(authenticator: authenticator)
naturalLanguageClassifier.serviceURL = "{url}"

naturalLanguageClassifier.getClassifier(classifierID: "{classifier_id}") {
  response, error in

  guard let classifier = response?.result else {
    print(error?.localizedDescription ?? "unknown error")
    return
  }

  print(classifier)
}

Example request

var authenticator = new IamAuthenticator(
    apikey: "{apikey}"
);

while (!authenticator.CanAuthenticate())
    yield return null;

var naturalLanguageClassifier = new NaturalLanguageClassifierService(authenticator);
naturalLanguageClassifier.SetServiceUrl("{url}");

Classifier getClassifierResponse = null;
service.GetClassifier(
    callback: (DetailedResponse<Classifier> response, IBMError error) =>
    {
        Log.Debug("NaturalLanguageClassifierServiceV1", "GetClassifier result: {0}", response.Response);
        getClassifierResponse = response.Result;
    },
    classifierId: "10D41B-nlc-1"
);

while (getClassifierResponse == null)
    yield return null;

Response

Response Body

Classifier

A classifier for natural language phrases.

Classifier

A classifier for natural language phrases.

Classifier

A classifier for natural language phrases.

Classifier

A classifier for natural language phrases.

Classifier

A classifier for natural language phrases.

Classifier

A classifier for natural language phrases.

Classifier

A classifier for natural language phrases.

Classifier

A classifier for natural language phrases.

Classifier

A classifier for natural language phrases.

Status Code

200
OK.
404
The classifier does not exist or is not available to the user.
429
Too Many Requests. The rate limit is exceeded for this service instance.

Example responses

Status 200

{
  "classifier_id": "10D41B-nlc-1",
  "name": "My Classifier",
  "language": "en",
  "created": "2015-05-28T18:01:57.393Z",
  "url": "{url}/v1/classifiers/10D41B-nlc-1",
  "status": "Training",
  "status_description": "The classifier instance is in its training phase, not yet ready to accept classify requests"
}

Success example

{
  "classifier_id": "10D41B-nlc-1",
  "name": "My Classifier",
  "language": "en",
  "created": "2015-05-28T18:01:57.393Z",
  "url": "{url}/v1/classifiers/10D41B-nlc-1",
  "status": "Training",
  "status_description": "The classifier instance is in its training phase, not yet ready to accept classify requests"
}

Status 429

{
  "code": "429",
  "error": "Error: Too Many Requests"
}

Error example

{
  "code": "429",
  "error": "Error: Too Many Requests"
}

DELETE /v1/classifiers/{classifier_id}

(naturalLanguageClassifier *NaturalLanguageClassifierV1) DeleteClassifier(deleteClassifierOptions *DeleteClassifierOptions) (response *core.DetailedResponse, err error)

(naturalLanguageClassifier *NaturalLanguageClassifierV1) DeleteClassifierWithContext(ctx context.Context, deleteClassifierOptions *DeleteClassifierOptions) (response *core.DetailedResponse, err error)

ServiceCall<Void> deleteClassifier(DeleteClassifierOptions deleteClassifierOptions)

deleteClassifier(params)

delete_classifier(self,
        classifier_id: str,
        **kwargs
    ) -> DetailedResponse

delete_classifier(classifier_id:)

func deleteClassifier(
    classifierID: String,
    headers: [String: String]? = nil,
    completionHandler: @escaping (WatsonResponse<Void>?, WatsonError?) -> Void)

DeleteClassifier(string classifierId)

DeleteClassifier(Callback<object> callback, string classifierId)

Rate limit

This operation is limited to 80 requests per second.

Request

Instantiate the DeleteClassifierOptions struct and set the fields to provide parameter values for the DeleteClassifier method.

Use the DeleteClassifierOptions.Builder to create a DeleteClassifierOptions object that contains the parameter values for the deleteClassifier method.

Path Parameters

classifier_id
string
Classifier ID to delete.

parameter

WithContext method only

DeleteClassifierOptions

The DeleteClassifier options.

DeleteClassifierOptions

The deleteClassifier options.

parameters

classifierId
string
Classifier ID to delete.

parameters

classifier_id
str
Classifier ID to delete.

parameters

classifier_id
String
Classifier ID to delete.

parameters

classifierID
String
Classifier ID to delete.

parameters

classifierId
string
Classifier ID to delete.

parameters

classifierId
string
Classifier ID to delete.

Example request

curl -X DELETE -u "apikey:{apikey}" "{url}/v1/classifiers/10D41B-nlc-1"

Example request

IamAuthenticator authenticator = new IamAuthenticator(
    apikey: "{apikey}"
    );

NaturalLanguageClassifierService naturalLanguageClassifier = new NaturalLanguageClassifierService(authenticator);
naturalLanguageClassifier.SetServiceUrl("{url}");

var result = service.DeleteClassifier(
    classifierId: "10D41B-nlc-1"
    );

Console.WriteLine(result.Response);

Example request

package main

import (
  "github.com/IBM/go-sdk-core/core"
  "github.com/watson-developer-cloud/go-sdk/naturallanguageclassifierv1"
)

func main() {
  authenticator := &core.IamAuthenticator{
    ApiKey: "{apikey}",
  }

  options := &naturallanguageclassifierv1.NaturalLanguageClassifierV1Options{
    Authenticator: authenticator,
  }

  naturalLanguageClassifier, naturalLanguageClassifierErr := naturallanguageclassifierv1.NewNaturalLanguageClassifierV1(options)

  if naturalLanguageClassifierErr != nil {
    panic(naturalLanguageClassifierErr)
  }

  naturalLanguageClassifier.SetServiceURL("{url}")

  _, responseErr := naturalLanguageClassifier.DeleteClassifier(
    &naturallanguageclassifierv1.DeleteClassifierOptions{
      ClassifierID: core.StringPtr("10D41B-nlc-1"),
    },
  )
  if responseErr != nil {
    panic(responseErr)
  }
}

Example request

IamAuthenticator authenticator = new IamAuthenticator("{apikey}");
NaturalLanguageClassifier naturalLanguageClassifier = new NaturalLanguageClassifier(authenticator);
naturalLanguageClassifier.setServiceUrl("{url}");

DeleteClassifierOptions deleteOptions = new DeleteClassifierOptions.Builder()
  .classifierId("10D41B-nlc-1")
  .build();
naturalLanguageClassifier.deleteClassifier(deleteOptions).execute();

Example request

const NaturalLanguageClassifierV1 = require('ibm-watson/natural-language-classifier/v1');
const { IamAuthenticator } = require('ibm-watson/auth');

const naturalLanguageClassifier = new NaturalLanguageClassifierV1({
  authenticator: new IamAuthenticator({
    apikey: '{apikey}',
  }),
  serviceUrl: '{url}',
});

const deleteClassifierParams = {
  classifierId: '{classifier_id}',
};

naturalLanguageClassifier.deleteClassifier(deleteClassifierParams)
  .then(result => {
    console.log(JSON.stringify(result, null, 2));
  })
  .catch(err => {
    console.log('error:', err);
  });

Example request

from ibm_watson import NaturalLanguageClassifierV1
from ibm_cloud_sdk_core.authenticators import IAMAuthenticator

authenticator = IAMAuthenticator('{apikey}')
natural_language_classifier = NaturalLanguageClassifierV1(
    authenticator=authenticator
)

natural_language_classifier.set_service_url('{url}')

natural_language_classifier.delete_classifier('10D41B-nlc-1')

Example request

require "ibm_watson/authenticators"
require "ibm_watson/natural_language_classifier_v1"
include IBMWatson

authenticator = Authenticators::IamAuthenticator.new(
  apikey: "{apikey}"
)
natural_language_classifier = NaturalLanguageClassifierV1.new(
  authenticator: authenticator
)
natural_language_classifier.service_url = "{url}"

natural_language_classifier.delete_classifier(
  classifier_id: "10D41B-nlc-1"
)

Example request

let authenticator = WatsonIAMAuthenticator(apiKey: "{apikey}")
let naturalLanguageClassifier = NaturalLanguageClassifier(authenticator: authenticator)
naturalLanguageClassifier.serviceURL = "{url}"

naturalLanguageClassifier.deleteClassifier(classifierID: "{classifier_id}") {
  _, error in

  if let error = error {
    print(error.localizedDescription)
    return
  }

  print("classifier deleted")
}

Example request

var authenticator = new IamAuthenticator(
    apikey: "{apikey}"
);

while (!authenticator.CanAuthenticate())
    yield return null;

var naturalLanguageClassifier = new NaturalLanguageClassifierService(authenticator);
naturalLanguageClassifier.SetServiceUrl("{url}");

object deleteClassifierResponse = null;
service.DeleteClassifier(
    callback: (DetailedResponse<object> response, IBMError error) =>
    {
        Log.Debug("NaturalLanguageClassifierServiceV1", "DeleteClassifier result: {0}", response.Response);
        deleteClassifierResponse = response.Result;
    },
    classifierId: "10D41B-nlc-1"
);

while (deleteClassifierResponse == null)
    yield return null;

Response

Response type: object

Response Body

Empty

Status Code

200
OK. Deleted.
404
The classifier does not exist or is not available to the user.
429
Too Many Requests. The rate limit is exceeded for this service instance.

Example responses

{}
{}

Status 429

{
  "code": "429",
  "error": "Error: Too Many Requests"
}

Error example

{
  "code": "429",
  "error": "Error: Too Many Requests"
}

Introduction

Endpoint URLs

IBM Cloud URLs

Disabling SSL verification

Authentication

Access between services

Error handling

Data handling

Additional headers

Response details

Data collection

Synchronous and asynchronous requests

Rate limiting

Related information

Methods

Classify a phrase (GET)

Rate limit

Request

Path Parameters

classifier_id

Query Parameters

text

Response

Response Body

classifier_id

url

text

top_class

classes

Status Code

200

400

404

429

Classify a phrase

Rate limit

Request

Path Parameters

classifier_id

Request Body

text

parameter

ctx

ClassifyOptions

ClassifierID

Text

ClassifyOptions

classifierId

text

parameters

classifierId

text

parameters

classifier_id

text

parameters

classifier_id

text

parameters

classifierID

text

parameters

classifierId

text

parameters

classifierId

text

Response

Response Body

classifier_id

url

text

top_class

classes

Classification

ClassifierID

URL

Text

TopClass

Classes