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public static interface ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder extends MessageOrBuilder
Implements
MessageOrBuilderMethods
getAnnotationSpecId(int index)
public abstract String getAnnotationSpecId(int index)
Output only. IDs of the annotation specs used in the confusion matrix. For Tables CLASSIFICATION prediction_type only list of [annotation_spec_display_name-s][] is populated.
repeated string annotation_spec_id = 1;
Name | Description |
index | int The index of the element to return. |
Type | Description |
String | The annotationSpecId at the given index. |
getAnnotationSpecIdBytes(int index)
public abstract ByteString getAnnotationSpecIdBytes(int index)
Output only. IDs of the annotation specs used in the confusion matrix. For Tables CLASSIFICATION prediction_type only list of [annotation_spec_display_name-s][] is populated.
repeated string annotation_spec_id = 1;
Name | Description |
index | int The index of the value to return. |
Type | Description |
ByteString | The bytes of the annotationSpecId at the given index. |
getAnnotationSpecIdCount()
public abstract int getAnnotationSpecIdCount()
Output only. IDs of the annotation specs used in the confusion matrix. For Tables CLASSIFICATION prediction_type only list of [annotation_spec_display_name-s][] is populated.
repeated string annotation_spec_id = 1;
Type | Description |
int | The count of annotationSpecId. |
getAnnotationSpecIdList()
public abstract List<String> getAnnotationSpecIdList()
Output only. IDs of the annotation specs used in the confusion matrix. For Tables CLASSIFICATION prediction_type only list of [annotation_spec_display_name-s][] is populated.
repeated string annotation_spec_id = 1;
Type | Description |
List<String> | A list containing the annotationSpecId. |
getDisplayName(int index)
public abstract 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, distinct values of the target column at the moment of the model evaluation are populated here.
repeated string display_name = 3;
Name | Description |
index | int The index of the element to return. |
Type | Description |
String | The displayName at the given index. |
getDisplayNameBytes(int index)
public abstract 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, distinct values of the target column at the moment of the model evaluation are populated here.
repeated string display_name = 3;
Name | Description |
index | int The index of the value to return. |
Type | Description |
ByteString | The bytes of the displayName at the given index. |
getDisplayNameCount()
public abstract 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, distinct values of the target column at the moment of the model evaluation are populated here.
repeated string display_name = 3;
Type | Description |
int | The count of displayName. |
getDisplayNameList()
public abstract 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, distinct values of the target column at the moment of the model evaluation are populated here.
repeated string display_name = 3;
Type | Description |
List<String> | A list containing the displayName. |
getRow(int index)
public abstract 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;
Name | Description |
index | int |
Type | Description |
ClassificationEvaluationMetrics.ConfusionMatrix.Row |
getRowCount()
public abstract 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;
Type | Description |
int |
getRowList()
public abstract 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;
Type | Description |
List<Row> |
getRowOrBuilder(int index)
public abstract 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;
Name | Description |
index | int |
Type | Description |
ClassificationEvaluationMetrics.ConfusionMatrix.RowOrBuilder |
getRowOrBuilderList()
public abstract 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;
Type | Description |
List<? extends com.google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix.RowOrBuilder> |