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public static final class ClassificationEvaluationMetrics.ConfusionMatrix.Builder extends GeneratedMessageV3.Builder<ClassificationEvaluationMetrics.ConfusionMatrix.Builder> implements ClassificationEvaluationMetrics.ConfusionMatrixOrBuilderConfusion matrix of the model running the classification.
Protobuf type google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > ClassificationEvaluationMetrics.ConfusionMatrix.BuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()| Type | Description |
| Descriptor |
Methods
addAllAnnotationSpecId(Iterable<String> values)
public ClassificationEvaluationMetrics.ConfusionMatrix.Builder addAllAnnotationSpecId(Iterable<String> values)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 |
| values | Iterable<String>The annotationSpecId to add. |
| Type | Description |
| ClassificationEvaluationMetrics.ConfusionMatrix.Builder | This builder for chaining. |
addAllDisplayName(Iterable<String> values)
public ClassificationEvaluationMetrics.ConfusionMatrix.Builder addAllDisplayName(Iterable<String> values)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 |
| values | Iterable<String>The displayName to add. |
| Type | Description |
| ClassificationEvaluationMetrics.ConfusionMatrix.Builder | This builder for chaining. |
addAllRow(Iterable<? extends ClassificationEvaluationMetrics.ConfusionMatrix.Row> values)
public ClassificationEvaluationMetrics.ConfusionMatrix.Builder addAllRow(Iterable<? extends ClassificationEvaluationMetrics.ConfusionMatrix.Row> values) 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 |
| values | Iterable<? extends com.google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix.Row> |
| Type | Description |
| ClassificationEvaluationMetrics.ConfusionMatrix.Builder |
addAnnotationSpecId(String value)
public ClassificationEvaluationMetrics.ConfusionMatrix.Builder addAnnotationSpecId(String value)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 |
| value | StringThe annotationSpecId to add. |
| Type | Description |
| ClassificationEvaluationMetrics.ConfusionMatrix.Builder | This builder for chaining. |
addAnnotationSpecIdBytes(ByteString value)
public ClassificationEvaluationMetrics.ConfusionMatrix.Builder addAnnotationSpecIdBytes(ByteString value)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 |
| value | ByteStringThe bytes of the annotationSpecId to add. |
| Type | Description |
| ClassificationEvaluationMetrics.ConfusionMatrix.Builder | This builder for chaining. |
addDisplayName(String value)
public ClassificationEvaluationMetrics.ConfusionMatrix.Builder addDisplayName(String value)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 |
| value | StringThe displayName to add. |
| Type | Description |
| ClassificationEvaluationMetrics.ConfusionMatrix.Builder | This builder for chaining. |
addDisplayNameBytes(ByteString value)
public ClassificationEvaluationMetrics.ConfusionMatrix.Builder addDisplayNameBytes(ByteString value)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 |
| value | ByteStringThe bytes of the displayName to add. |
| Type | Description |
| ClassificationEvaluationMetrics.ConfusionMatrix.Builder | This builder for chaining. |
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public ClassificationEvaluationMetrics.ConfusionMatrix.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)| Name | Description |
| field | FieldDescriptor |
| value | Object |
| Type | Description |
| ClassificationEvaluationMetrics.ConfusionMatrix.Builder |
addRow(ClassificationEvaluationMetrics.ConfusionMatrix.Row value)
public ClassificationEvaluationMetrics.ConfusionMatrix.Builder addRow(ClassificationEvaluationMetrics.ConfusionMatrix.Row value) 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 |
| value | ClassificationEvaluationMetrics.ConfusionMatrix.Row |
| Type | Description |
| ClassificationEvaluationMetrics.ConfusionMatrix.Builder |
addRow(ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder builderForValue)
public ClassificationEvaluationMetrics.ConfusionMatrix.Builder addRow(ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder builderForValue) 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 |
| builderForValue | ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder |
| Type | Description |
| ClassificationEvaluationMetrics.ConfusionMatrix.Builder |
addRow(int index, ClassificationEvaluationMetrics.ConfusionMatrix.Row value)
public ClassificationEvaluationMetrics.ConfusionMatrix.Builder addRow(int index, ClassificationEvaluationMetrics.ConfusionMatrix.Row value) 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 |
| value | ClassificationEvaluationMetrics.ConfusionMatrix.Row |
| Type | Description |
| ClassificationEvaluationMetrics.ConfusionMatrix.Builder |
addRow(int index, ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder builderForValue)
public ClassificationEvaluationMetrics.ConfusionMatrix.Builder addRow(int index, ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder builderForValue) 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 |
| builderForValue | ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder |
| Type | Description |
| ClassificationEvaluationMetrics.ConfusionMatrix.Builder |
addRowBuilder()
public ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder addRowBuilder() 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 |
| ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder |
addRowBuilder(int index)
public ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder addRowBuilder(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.Builder |
build()
public ClassificationEvaluationMetrics.ConfusionMatrix build()| Type | Description |
| ClassificationEvaluationMetrics.ConfusionMatrix |
buildPartial()
public ClassificationEvaluationMetrics.ConfusionMatrix buildPartial()| Type | Description |
| ClassificationEvaluationMetrics.ConfusionMatrix |
clear()
public ClassificationEvaluationMetrics.ConfusionMatrix.Builder clear()| Type | Description |
| ClassificationEvaluationMetrics.ConfusionMatrix.Builder |
clearAnnotationSpecId()
public ClassificationEvaluationMetrics.ConfusionMatrix.Builder clearAnnotationSpecId()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 |
| ClassificationEvaluationMetrics.ConfusionMatrix.Builder | This builder for chaining. |
clearDisplayName()
public ClassificationEvaluationMetrics.ConfusionMatrix.Builder clearDisplayName()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 |
| ClassificationEvaluationMetrics.ConfusionMatrix.Builder | This builder for chaining. |
clearField(Descriptors.FieldDescriptor field)
public ClassificationEvaluationMetrics.ConfusionMatrix.Builder clearField(Descriptors.FieldDescriptor field)| Name | Description |
| field | FieldDescriptor |
| Type | Description |
| ClassificationEvaluationMetrics.ConfusionMatrix.Builder |
clearOneof(Descriptors.OneofDescriptor oneof)
public ClassificationEvaluationMetrics.ConfusionMatrix.Builder clearOneof(Descriptors.OneofDescriptor oneof)| Name | Description |
| oneof | OneofDescriptor |
| Type | Description |
| ClassificationEvaluationMetrics.ConfusionMatrix.Builder |
clearRow()
public ClassificationEvaluationMetrics.ConfusionMatrix.Builder clearRow() 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 |
| ClassificationEvaluationMetrics.ConfusionMatrix.Builder |
clone()
public ClassificationEvaluationMetrics.ConfusionMatrix.Builder clone()| Type | Description |
| ClassificationEvaluationMetrics.ConfusionMatrix.Builder |
getAnnotationSpecId(int index)
public 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 | intThe index of the element to return. |
| Type | Description |
| String | The annotationSpecId at the given index. |
getAnnotationSpecIdBytes(int index)
public 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 | intThe index of the value to return. |
| Type | Description |
| ByteString | The bytes of the annotationSpecId at the given index. |
getAnnotationSpecIdCount()
public 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 ProtocolStringList 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 |
| ProtocolStringList | A list containing the annotationSpecId. |
getDefaultInstanceForType()
public ClassificationEvaluationMetrics.ConfusionMatrix getDefaultInstanceForType()| Type | Description |
| ClassificationEvaluationMetrics.ConfusionMatrix |
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()| Type | Description |
| Descriptor |
getDisplayName(int index)
public 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 | intThe index of the element to return. |
| Type | Description |
| String | The displayName at the given index. |
getDisplayNameBytes(int index)
public 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 | intThe index of the value to return. |
| Type | Description |
| ByteString | The bytes of the displayName at the given index. |
getDisplayNameCount()
public 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 ProtocolStringList 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 |
| ProtocolStringList | A list containing the displayName. |
getRow(int index)
public 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 |
getRowBuilder(int index)
public ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder getRowBuilder(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.Builder |
getRowBuilderList()
public List<ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder> getRowBuilderList() 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<Builder> |
getRowCount()
public 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 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 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 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> |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()| Type | Description |
| FieldAccessorTable |
isInitialized()
public final boolean isInitialized()| Type | Description |
| boolean |
mergeFrom(ClassificationEvaluationMetrics.ConfusionMatrix other)
public ClassificationEvaluationMetrics.ConfusionMatrix.Builder mergeFrom(ClassificationEvaluationMetrics.ConfusionMatrix other)| Name | Description |
| other | ClassificationEvaluationMetrics.ConfusionMatrix |
| Type | Description |
| ClassificationEvaluationMetrics.ConfusionMatrix.Builder |
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public ClassificationEvaluationMetrics.ConfusionMatrix.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)| Name | Description |
| input | CodedInputStream |
| extensionRegistry | ExtensionRegistryLite |
| Type | Description |
| ClassificationEvaluationMetrics.ConfusionMatrix.Builder |
| Type | Description |
| IOException |
mergeFrom(Message other)
public ClassificationEvaluationMetrics.ConfusionMatrix.Builder mergeFrom(Message other)| Name | Description |
| other | Message |
| Type | Description |
| ClassificationEvaluationMetrics.ConfusionMatrix.Builder |
mergeUnknownFields(UnknownFieldSet unknownFields)
public final ClassificationEvaluationMetrics.ConfusionMatrix.Builder mergeUnknownFields(UnknownFieldSet unknownFields)| Name | Description |
| unknownFields | UnknownFieldSet |
| Type | Description |
| ClassificationEvaluationMetrics.ConfusionMatrix.Builder |
removeRow(int index)
public ClassificationEvaluationMetrics.ConfusionMatrix.Builder removeRow(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.Builder |
setAnnotationSpecId(int index, String value)
public ClassificationEvaluationMetrics.ConfusionMatrix.Builder setAnnotationSpecId(int index, String value)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 | intThe index to set the value at. |
| value | StringThe annotationSpecId to set. |
| Type | Description |
| ClassificationEvaluationMetrics.ConfusionMatrix.Builder | This builder for chaining. |
setDisplayName(int index, String value)
public ClassificationEvaluationMetrics.ConfusionMatrix.Builder setDisplayName(int index, String value)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 | intThe index to set the value at. |
| value | StringThe displayName to set. |
| Type | Description |
| ClassificationEvaluationMetrics.ConfusionMatrix.Builder | This builder for chaining. |
setField(Descriptors.FieldDescriptor field, Object value)
public ClassificationEvaluationMetrics.ConfusionMatrix.Builder setField(Descriptors.FieldDescriptor field, Object value)| Name | Description |
| field | FieldDescriptor |
| value | Object |
| Type | Description |
| ClassificationEvaluationMetrics.ConfusionMatrix.Builder |
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public ClassificationEvaluationMetrics.ConfusionMatrix.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)| Name | Description |
| field | FieldDescriptor |
| index | int |
| value | Object |
| Type | Description |
| ClassificationEvaluationMetrics.ConfusionMatrix.Builder |
setRow(int index, ClassificationEvaluationMetrics.ConfusionMatrix.Row value)
public ClassificationEvaluationMetrics.ConfusionMatrix.Builder setRow(int index, ClassificationEvaluationMetrics.ConfusionMatrix.Row value) 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 |
| value | ClassificationEvaluationMetrics.ConfusionMatrix.Row |
| Type | Description |
| ClassificationEvaluationMetrics.ConfusionMatrix.Builder |
setRow(int index, ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder builderForValue)
public ClassificationEvaluationMetrics.ConfusionMatrix.Builder setRow(int index, ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder builderForValue) 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 |
| builderForValue | ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder |
| Type | Description |
| ClassificationEvaluationMetrics.ConfusionMatrix.Builder |
setUnknownFields(UnknownFieldSet unknownFields)
public final ClassificationEvaluationMetrics.ConfusionMatrix.Builder setUnknownFields(UnknownFieldSet unknownFields)| Name | Description |
| unknownFields | UnknownFieldSet |
| Type | Description |
| ClassificationEvaluationMetrics.ConfusionMatrix.Builder |