com.google.cloud.automl.v1

Interface ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder

All Superinterfaces:

com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder

All Known Implementing Classes:

ClassificationEvaluationMetrics.ConfusionMatrix, ClassificationEvaluationMetrics.ConfusionMatrix.Builder

Enclosing class:

ClassificationEvaluationMetrics

public static interface ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder
extends com.google.protobuf.MessageOrBuilder

Method Summary

Modifier and Type	Method and Description
String	getAnnotationSpecId(int index) Output only.
com.google.protobuf.ByteString	getAnnotationSpecIdBytes(int index) Output only.
int	getAnnotationSpecIdCount() Output only.
List<String>	getAnnotationSpecIdList() Output only.
String	getDisplayName(int index) Output only.
com.google.protobuf.ByteString	getDisplayNameBytes(int index) Output only.
int	getDisplayNameCount() Output only.
List<String>	getDisplayNameList() Output only.
ClassificationEvaluationMetrics.ConfusionMatrix.Row	getRow(int index) Output only.
int	getRowCount() Output only.
List<ClassificationEvaluationMetrics.ConfusionMatrix.Row>	getRowList() Output only.
ClassificationEvaluationMetrics.ConfusionMatrix.RowOrBuilder	getRowOrBuilder(int index) Output only.
List<? extends ClassificationEvaluationMetrics.ConfusionMatrix.RowOrBuilder>	getRowOrBuilderList() Output only.

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

isInitialized

Method Detail

getAnnotationSpecIdList

List<String> getAnnotationSpecIdList()

 Output only. IDs of the annotation specs used in the confusion matrix.
 For Tables CLASSIFICATION
 [prediction_type][google.cloud.automl.v1p1beta.TablesModelMetadata.prediction_type]
 only list of [annotation_spec_display_name-s][] is populated.
 

repeated string annotation_spec_id = 1;

Returns:

A list containing the annotationSpecId.

getAnnotationSpecIdCount

int getAnnotationSpecIdCount()

 Output only. IDs of the annotation specs used in the confusion matrix.
 For Tables CLASSIFICATION
 [prediction_type][google.cloud.automl.v1p1beta.TablesModelMetadata.prediction_type]
 only list of [annotation_spec_display_name-s][] is populated.
 

repeated string annotation_spec_id = 1;

Returns:

The count of annotationSpecId.

getAnnotationSpecId

String getAnnotationSpecId(int index)

 Output only. IDs of the annotation specs used in the confusion matrix.
 For Tables CLASSIFICATION
 [prediction_type][google.cloud.automl.v1p1beta.TablesModelMetadata.prediction_type]
 only list of [annotation_spec_display_name-s][] is populated.
 

repeated string annotation_spec_id = 1;

Parameters:

index - The index of the element to return.

Returns:

The annotationSpecId at the given index.

getAnnotationSpecIdBytes

com.google.protobuf.ByteString getAnnotationSpecIdBytes(int index)

 Output only. IDs of the annotation specs used in the confusion matrix.
 For Tables CLASSIFICATION
 [prediction_type][google.cloud.automl.v1p1beta.TablesModelMetadata.prediction_type]
 only list of [annotation_spec_display_name-s][] is populated.
 

repeated string annotation_spec_id = 1;

Parameters:

index - The index of the value to return.

Returns:

The bytes of the annotationSpecId at the given index.

getDisplayNameList

List<String> getDisplayNameList()

 Output only. Display name of the annotation specs used in the confusion
 matrix, as they were at the moment of the evaluation. For Tables
 CLASSIFICATION
 [prediction_type-s][google.cloud.automl.v1p1beta.TablesModelMetadata.prediction_type],
 distinct values of the target column at the moment of the model
 evaluation are populated here.
 

repeated string display_name = 3;

Returns:

A list containing the displayName.

getDisplayNameCount

int getDisplayNameCount()

 Output only. Display name of the annotation specs used in the confusion
 matrix, as they were at the moment of the evaluation. For Tables
 CLASSIFICATION
 [prediction_type-s][google.cloud.automl.v1p1beta.TablesModelMetadata.prediction_type],
 distinct values of the target column at the moment of the model
 evaluation are populated here.
 

repeated string display_name = 3;

Returns:

The count of displayName.

getDisplayName

String getDisplayName(int index)

 Output only. Display name of the annotation specs used in the confusion
 matrix, as they were at the moment of the evaluation. For Tables
 CLASSIFICATION
 [prediction_type-s][google.cloud.automl.v1p1beta.TablesModelMetadata.prediction_type],
 distinct values of the target column at the moment of the model
 evaluation are populated here.
 

repeated string display_name = 3;

Parameters:

index - The index of the element to return.

Returns:

The displayName at the given index.

getDisplayNameBytes

com.google.protobuf.ByteString getDisplayNameBytes(int index)

 Output only. Display name of the annotation specs used in the confusion
 matrix, as they were at the moment of the evaluation. For Tables
 CLASSIFICATION
 [prediction_type-s][google.cloud.automl.v1p1beta.TablesModelMetadata.prediction_type],
 distinct values of the target column at the moment of the model
 evaluation are populated here.
 

repeated string display_name = 3;

Parameters:

index - The index of the value to return.

Returns:

The bytes of the displayName at the given index.

getRowList

List<ClassificationEvaluationMetrics.ConfusionMatrix.Row> getRowList()

 Output only. Rows in the confusion matrix. The number of rows is equal to
 the size of `annotation_spec_id`.
 `row[i].example_count[j]` is the number of examples that have ground
 truth of the `annotation_spec_id[i]` and are predicted as
 `annotation_spec_id[j]` by the model being evaluated.
 

repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2;

getRow

ClassificationEvaluationMetrics.ConfusionMatrix.Row getRow(int index)

 Output only. Rows in the confusion matrix. The number of rows is equal to
 the size of `annotation_spec_id`.
 `row[i].example_count[j]` is the number of examples that have ground
 truth of the `annotation_spec_id[i]` and are predicted as
 `annotation_spec_id[j]` by the model being evaluated.
 

repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2;

getRowCount

int getRowCount()

 Output only. Rows in the confusion matrix. The number of rows is equal to
 the size of `annotation_spec_id`.
 `row[i].example_count[j]` is the number of examples that have ground
 truth of the `annotation_spec_id[i]` and are predicted as
 `annotation_spec_id[j]` by the model being evaluated.
 

repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2;

getRowOrBuilderList

List<? extends ClassificationEvaluationMetrics.ConfusionMatrix.RowOrBuilder> getRowOrBuilderList()

 Output only. Rows in the confusion matrix. The number of rows is equal to
 the size of `annotation_spec_id`.
 `row[i].example_count[j]` is the number of examples that have ground
 truth of the `annotation_spec_id[i]` and are predicted as
 `annotation_spec_id[j]` by the model being evaluated.
 

repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2;

getRowOrBuilder

ClassificationEvaluationMetrics.ConfusionMatrix.RowOrBuilder getRowOrBuilder(int index)

 Output only. Rows in the confusion matrix. The number of rows is equal to
 the size of `annotation_spec_id`.
 `row[i].example_count[j]` is the number of examples that have ground
 truth of the `annotation_spec_id[i]` and are predicted as
 `annotation_spec_id[j]` by the model being evaluated.
 

repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2;