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.