Model metadata specific to AutoML Tables.
Column specs of the dataset's primary table's columns, on which the model is trained and which are used as the input for predictions. The [target_column][google.cloud.automl.v1beta1 .TablesModelMetadata.target_column_spec] as well as, according to dataset's state upon model creation, [weight_co lumn][google.cloud.automl.v1beta1.TablesDatasetMetadata.weight _column_spec_id], and [ml_use_column][google.cloud.autom l.v1beta1.TablesDatasetMetadata.ml_use_column_spec_id] must never be included here. Only 3 fields are used: - name
May be set on CreateModel, if set only the columns specified are used, otherwise all primary table's columns (except the ones listed above) are used for the training and prediction input. - display_name - Output only. - data_type - Output only.
Output only. Auxiliary information for each of the input_feature_column_specs with respect to this particular model.
Output only. The actual training cost of the model, expressed in milli node hours, i.e. 1,000 value in this field means 1 node hour. Guaranteed to not exceed the train budget.