support Categories X Classifications X Concepts Emotion Entities X* X Keywords X Metadata X Relations X X Semantic roles Sentiment X Syntax X * Relevance ranking

With rank functions you can sort, rank, and filter data within your queries. You can use them to refine your results based on specific metrics and values. To add a rank function, click + and choose from TOPK, SORT, or SORT Descending. After you select a rank function, configure it by specifying the metric and parameters (for example, populate the number of K results you would like the query to retrieve for TOPK).

It must be s3a for Amazon S3 or Cloud object Storage (COS), abfss for ADLS, and gs for GCS storage. : The name of the object storage containing your application code. You must pass the credentials of this storage if it is not registered with watsonx.data.

Python example of an application/x-www-form-urlencoded response: import os def main(args): result_body = "myfolder%20myFile" return { "headers": { "Content-Type": "application/x-www-form-urlencoded", }, "statusCode": 200, "body": result_body, } External response data interface The external data interface definition is derived from standardized HTTP.

filter=bees natural_language_query A ranked natural language search for matching documents natural_language_query="How do bees fly" query A ranked query language search for matching documents.

Show largest tables by rows for a specified schema Get a ranked list of the largest tables in a given schema - What are the top 3 tables for the schema "schema-name"?

Resources: 41 added, 0 changed, 0 destroyed. 2022/05/09 14:35:53 Terraform apply | 2022/05/09 14:35:53 Terraform apply | Outputs: 2022/05/09 14:35:53 Terraform apply | 2022/05/09 14:35:53 Terraform apply | ssh_command = "ssh -J ubuntu@141.125.161.0 vpcuser@10.241.1.5" 2022/05/09 14:35:53 Command finished successfully. After the plan is successfully applied, it generates an ssh_command in the Outputs section in the Terraform code.

Sequence pattern example To select references to military personnel: Create a dictionary called Military Ranks that includes terms such as Warrant Officer, Sergeant, and Lieutenant. Drag the Person extractor onto the canvas following the Military Ranks dictionary to indicate that the new sequence finds ranks then names.

Sequence pattern example To select references to military personnel: Create a dictionary called Military Ranks that includes terms such as Warrant Officer, Sergeant, and Lieutenant. Drag the Person extractor onto the canvas following the Military Ranks dictionary to indicate that the new sequence finds ranks then names.

)   df.write.parquet("cos://.mycosservice/broadbandspeed") def create_table_from_data(spark,sc):   spark.sql("CREATE TABLE MYPARQUETBBSPEED (Ranking STRING, Country STRING, Capital STRING, BroadBandSpeed STRING) STORED AS PARQUET  location 'cos://CHANGEME-BUCKET.mycosservice/broadbandspeed/'")   df2=spark.sql("SELECT * from MYPARQUETBBSPEED")   df2.show() def main():   spark,sc = init_spark()   generate_and_store_data(spark,sc)   create_table_from_data(spark,sc)   time.sleep(30)