Class: Google::Cloud::AutoML::V1beta1::TablesModelColumnInfo

Inherits:
Object
  • Object
show all
Defined in:
lib/google/cloud/automl/v1beta1/doc/google/cloud/automl/v1beta1/tables.rb

Overview

An information specific to given column and Tables Model, in context of the Model and the predictions created by it.

Instance Attribute Summary collapse

Instance Attribute Details

#column_display_name ⇒ String

Returns Output only. The display name of the column (same as the display_name of its ColumnSpec).

Returns:

  • (String) —

    Output only. The display name of the column (same as the display_name of its ColumnSpec).



257
 
# File 'lib/google/cloud/automl/v1beta1/doc/google/cloud/automl/v1beta1/tables.rb', line 257

class TablesModelColumnInfo; end

#column_spec_name ⇒ String

Returns Output only. The name of the ColumnSpec describing the column. Not populated when this proto is outputted to BigQuery.

Returns:

  • (String) —

    Output only. The name of the ColumnSpec describing the column. Not populated when this proto is outputted to BigQuery.



257
 
# File 'lib/google/cloud/automl/v1beta1/doc/google/cloud/automl/v1beta1/tables.rb', line 257

class TablesModelColumnInfo; end

#feature_importance ⇒ Float

Returns Output only.

When given as part of a Model (always populated): Measurement of how much model predictions correctness on the TEST data depend on values in this column. A value between 0 and 1, higher means higher influence. These values are normalized - for all input feature columns of a given model they add to 1.

When given back by Predict (populated iff [feature_importance param][google.cloud.automl.v1beta1.PredictRequest.params] is set) or Batch Predict (populated iff feature_importance param is set): Measurement of how impactful for the prediction returned for the given row the value in this column was. A value between 0 and 1, higher means larger impact. These values are normalized - for all input feature columns of a single predicted row they add to 1.

Returns:

  • (Float) —

    Output only.

    When given as part of a Model (always populated): Measurement of how much model predictions correctness on the TEST data depend on values in this column. A value between 0 and 1, higher means higher influence. These values are normalized - for all input feature columns of a given model they add to 1.

    When given back by Predict (populated iff [feature_importance param][google.cloud.automl.v1beta1.PredictRequest.params] is set) or Batch Predict (populated iff feature_importance param is set): Measurement of how impactful for the prediction returned for the given row the value in this column was. A value between 0 and 1, higher means larger impact. These values are normalized - for all input feature columns of a single predicted row they add to 1.



257
 
# File 'lib/google/cloud/automl/v1beta1/doc/google/cloud/automl/v1beta1/tables.rb', line 257

class TablesModelColumnInfo; end