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/*
 * Copyright 2024 Google LLC
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     https://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
// Generated by the protocol buffer compiler.  DO NOT EDIT!
// source: google/cloud/automl/v1beta1/tables.proto

// Protobuf Java Version: 3.25.5
package com.google.cloud.automl.v1beta1;

public interface TablesModelColumnInfoOrBuilder
    extends
    // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TablesModelColumnInfo)
    com.google.protobuf.MessageOrBuilder {

  /**
   *
   *
   *    * Output only. The name of the ColumnSpec describing the column. Not
   * populated when this proto is outputted to BigQuery.
   * 
   *
   * string column_spec_name = 1;
   *
   * @return The columnSpecName.
   */
  java.lang.String getColumnSpecName();
  /**
   *
   *
   *    * Output only. The name of the ColumnSpec describing the column. Not
   * populated when this proto is outputted to BigQuery.
   * 
   *
   * string column_spec_name = 1;
   *
   * @return The bytes for columnSpecName.
   */
  com.google.protobuf.ByteString getColumnSpecNameBytes();

  /**
   *
   *
   *    * Output only. The display name of the column (same as the display_name of
   * its ColumnSpec).
   * 
   *
   * string column_display_name = 2;
   *
   * @return The columnDisplayName.
   */
  java.lang.String getColumnDisplayName();
  /**
   *
   *
   *    * Output only. The display name of the column (same as the display_name of
   * its ColumnSpec).
   * 
   *
   * string column_display_name = 2;
   *
   * @return The bytes for columnDisplayName.
   */
  com.google.protobuf.ByteString getColumnDisplayNameBytes();

  /**
   *
   *
   *    * 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][google.cloud.automl.v1beta1.PredictRequest.params]
   * param is set):
   * Measurement of how impactful for the prediction returned for the given row
   * the value in this column was. Specifically, the feature importance
   * specifies the marginal contribution that the feature made to the prediction
   * score compared to the baseline score. These values are computed using the
   * Sampled Shapley method.
   * 
   *
   * float feature_importance = 3;
   *
   * @return The featureImportance.
   */
  float getFeatureImportance();
}