TRAIN MODEL

Purpose

Use the TRAIN MODEL statement to build a model by training a modeltype on the columns in a given table.

Syntax

Diagram

trainModel

trainTargetClause

columnNameList

trainModelOptionsClause

optionKeyValue

Keywords and Parameters

modelName

This is an identifier that specifies the name of the model to be built.

modeltypeName

This is an identifier that specifies the name of the modeltype to be used for model training.

trainTargetClause

Specify the target data for model training.

schemaName

This is an identifier that specifies the name of the schema that contains the training target table. If not specified, the default (current) schema is used.

tableName

This is an identifier that specifies the name of the training target table.

columnNameList

Specify the target columns for model training. Multiple columns can be specified as a comma-separated list.

trainModelOptionsClause

Specify the model training options, including hyperparameters like epochs. The options that can be specified depend on the modeltype.

‘optionKey’

This is a string literal that specifies the key of the option.

optionValue

This is a string literal or a numeric value that specifies the value of the option.

Examples

Training a Model

The following statement trains a model tgan of the tablegan modeltype on the columns reordered and add_to_cart_order of the order_products table in the instacart schema.

TRAIN MODEL tgan MODELTYPE tablegan
ON instacart.order_products(reordered, add_to_cart_order);

By adding the OPTIONS clause, the epochs hyperparameter can also be specified.

TRAIN MODEL tgan MODELTYPE tablegan
ON instacart.order_products(reordered, add_to_cart_order)
OPTIONS ( 'epochs' = 100 );