S3 ML Model Process PosgreSQL Data

Read an ML model from S3 and prcocess PostgreSQL data

Train ML Model

Train an ML model from a PostgreSQL table (LABEL & TEXT column) and write the model to S3.

Variables

ML Model Source Parameters

aws_connection required

Select the AWS Access Keys to use to access the S3 bucket where the data will be stored.

s3_bucket_config required

Select the Shared Config that contains information about the S3 Bucket where the data will be stored.

s3_model_path required

Folder path from the Folder Path Prefix in the S3 Bucket Connection to the folder where the model is stored.

Source Parameters

source_db required

PostgreSQL database containing the table with data to replicate.

source_schema required

Schema of the table with data to replicate.

source_table required

Name of the source table

source_text_column required

Text/Features Column the model will apply the model to

source_primary_column required

Primary/Unique Column on the source table

target_table required

Name of the target table to persist the results of the ML

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