PostgreSQL to S3 ML Model Creator

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

Train ML Model

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

Variables

ML Model Destination 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_folder_path

Folder path from the Folder Path Prefix in the S3 Bucket Connection to the folder where the data will be stored.

file_name required

Name for the file containing the downloaded data.

append_date

Enable to append the creation date to the file name.

allow_overwrite

Enable to allow an existing file with the same File Name in the Target Folder to be overwritten.

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 table with data to replicate.

label_column required

Label Column the model needs to predict

text_column required

Text/Features Column the model uses to train

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