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public static final class ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder extends GeneratedMessageV3.Builder<ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder> implements ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.RowOrBuilder
Output only. A row in the confusion matrix.
Protobuf type
google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.BuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Type | Description |
Descriptor |
Methods
addAllExampleCount(Iterable<? extends Integer> values)
public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder addAllExampleCount(Iterable<? extends Integer> values)
Output only. Value of the specific cell in the confusion matrix.
The number of values each row has (i.e. the length of the row) is equal
to the length of the annotation_spec_id
field or, if that one is not
populated, length of the display_name field.
repeated int32 example_count = 1;
Name | Description |
values | Iterable<? extends java.lang.Integer> The exampleCount to add. |
Type | Description |
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder | This builder for chaining. |
addExampleCount(int value)
public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder addExampleCount(int value)
Output only. Value of the specific cell in the confusion matrix.
The number of values each row has (i.e. the length of the row) is equal
to the length of the annotation_spec_id
field or, if that one is not
populated, length of the display_name field.
repeated int32 example_count = 1;
Name | Description |
value | int The exampleCount to add. |
Type | Description |
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder | This builder for chaining. |
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Name | Description |
field | FieldDescriptor |
value | Object |
Type | Description |
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder |
build()
public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row build()
Type | Description |
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row |
buildPartial()
public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row buildPartial()
Type | Description |
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row |
clear()
public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder clear()
Type | Description |
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder |
clearExampleCount()
public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder clearExampleCount()
Output only. Value of the specific cell in the confusion matrix.
The number of values each row has (i.e. the length of the row) is equal
to the length of the annotation_spec_id
field or, if that one is not
populated, length of the display_name field.
repeated int32 example_count = 1;
Type | Description |
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder | This builder for chaining. |
clearField(Descriptors.FieldDescriptor field)
public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder clearField(Descriptors.FieldDescriptor field)
Name | Description |
field | FieldDescriptor |
Type | Description |
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder |
clearOneof(Descriptors.OneofDescriptor oneof)
public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Name | Description |
oneof | OneofDescriptor |
Type | Description |
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder |
clone()
public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder clone()
Type | Description |
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder |
getDefaultInstanceForType()
public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row getDefaultInstanceForType()
Type | Description |
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row |
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()
Type | Description |
Descriptor |
getExampleCount(int index)
public int getExampleCount(int index)
Output only. Value of the specific cell in the confusion matrix.
The number of values each row has (i.e. the length of the row) is equal
to the length of the annotation_spec_id
field or, if that one is not
populated, length of the display_name field.
repeated int32 example_count = 1;
Name | Description |
index | int The index of the element to return. |
Type | Description |
int | The exampleCount at the given index. |
getExampleCountCount()
public int getExampleCountCount()
Output only. Value of the specific cell in the confusion matrix.
The number of values each row has (i.e. the length of the row) is equal
to the length of the annotation_spec_id
field or, if that one is not
populated, length of the display_name field.
repeated int32 example_count = 1;
Type | Description |
int | The count of exampleCount. |
getExampleCountList()
public List<Integer> getExampleCountList()
Output only. Value of the specific cell in the confusion matrix.
The number of values each row has (i.e. the length of the row) is equal
to the length of the annotation_spec_id
field or, if that one is not
populated, length of the display_name field.
repeated int32 example_count = 1;
Type | Description |
List<Integer> | A list containing the exampleCount. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Type | Description |
FieldAccessorTable |
isInitialized()
public final boolean isInitialized()
Type | Description |
boolean |
mergeFrom(ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row other)
public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder mergeFrom(ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row other)
Name | Description |
other | ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row |
Type | Description |
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder |
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Name | Description |
input | CodedInputStream |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder |
Type | Description |
IOException |
mergeFrom(Message other)
public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder mergeFrom(Message other)
Name | Description |
other | Message |
Type | Description |
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder |
mergeUnknownFields(UnknownFieldSet unknownFields)
public final ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Name | Description |
unknownFields | UnknownFieldSet |
Type | Description |
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder |
setExampleCount(int index, int value)
public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder setExampleCount(int index, int value)
Output only. Value of the specific cell in the confusion matrix.
The number of values each row has (i.e. the length of the row) is equal
to the length of the annotation_spec_id
field or, if that one is not
populated, length of the display_name field.
repeated int32 example_count = 1;
Name | Description |
index | int The index to set the value at. |
value | int The exampleCount to set. |
Type | Description |
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder | This builder for chaining. |
setField(Descriptors.FieldDescriptor field, Object value)
public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder setField(Descriptors.FieldDescriptor field, Object value)
Name | Description |
field | FieldDescriptor |
value | Object |
Type | Description |
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder |
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Name | Description |
field | FieldDescriptor |
index | int |
value | Object |
Type | Description |
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder |
setUnknownFields(UnknownFieldSet unknownFields)
public final ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder setUnknownFields(UnknownFieldSet unknownFields)
Name | Description |
unknownFields | UnknownFieldSet |
Type | Description |
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder |