model_id

A primary key, and a unique auto-incrementing numeric identifier for the model.

model_handle

A name for the model. The model handle must be unique in the model catalog. The model handle is generated or set by the user when the ML_TRAIN routine runs on a training dataset. The generated model_handle format is schemaName_tableName_userName_No, as in the following example: heatwaveml_bench.census_train_user1_1636729526. See Work with Model Handles to learn more.

model_object

A string in JSON format containing the serialized MySQL HeatWave AutoML model.

As of MySQL 9.0.0, models are stored in the model_object_catalog table, and the model_object is set to NULL.

model_owner

The user who initiated the ML_TRAIN query to create the model.

build_timestamp

A timestamp indicating when the model was created (in UNIX epoch time). A model is created when the ML_TRAIN routine finishes running.

target_column_name

The name of the column in the training table that was specified as the target column.

train_table_name

The name of the input table specified in the ML_TRAIN query.

model_object_size

The model object size, in bytes.

model_type

The type of model (algorithm) selected by ML_TRAIN to build the model.

task

The task type specified in the ML_TRAIN query.

column_names

The feature columns used to train the model.

model_explanation

The model explanation generated during training. See Generate Model Explanations.

last_accessed

The last time the model was accessed. MySQL HeatWave AutoML routines update this value to the current timestamp when accessing the model.

model_metadata

Metadata for the model. If an error occurs during training or you cancel the training operation, MySQL HeatWave AutoML records the error status in this column. See Model Metadata.

notes

Use this column to record notes about the trained model. It also records any error messages that occur during model training.