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Description

Create an NLP model trained from data in a Postgres table and store it in an S3 bucket. Or use an NLP model to classify data in a Postgres table.

Purchasing Options

Natural Language Classifier - Postgres and S3 - $199.99 / month

Available Actions

Train Model

Train an NLP model from data in a Postgres table snd store it in a file on S3.

Variables

Source Parameters
source_db required

PostgreSQL database containing the table with data to train the model.

source_schema required

Schema of the table with data to train the model.

source_table required

Name of the table with data to train the model.

label_column required

Column with labels that the model should predict.

text_column required

Column with the text to use to train the model.


Destination Parameters
aws_connection required

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

s3_bucket_config required

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

s3_folder_path

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

file_name required

Name of the file where the model data will be created.

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.


Apply Model

Read an NLP model from a file on S3 and use it to classify data in a Postgres table.

Variables

Model Parameters
aws_connection required

Select the AWS Access Keys to use to access the S3 bucket where the model file exists.

s3_bucket_config required

Select the Shared Config that contains information about the S3 Bucket where the model file exists.

s3_model_path required

Full path, including file name, to the file where the model data is stored.


Source Parameters
source_db required

PostgreSQL database containing the table with the text that the model will generate labels for.

source_schema required

Schema of the table with the text data that the model will generate labels for.

source_table required

Name of the table with the text data that the model will generate labels for.

source_text_column required

Column containing the text data that the model will generate labels for.

source_primary_column required

Column containing the Primary key for the text data.


Destination Parameter
target_table required

Name of the table where the labels generated by the model will be stored.