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public static final class ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row extends GeneratedMessageV3 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<MessageType,BuilderType> > AbstractMessage > GeneratedMessageV3 > ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.RowStatic Fields
EXAMPLE_COUNT_FIELD_NUMBER
public static final int EXAMPLE_COUNT_FIELD_NUMBER
Field Value | |
---|---|
Type | Description |
int |
Static Methods
getDefaultInstance()
public static ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row getDefaultInstance()
Returns | |
---|---|
Type | Description |
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row |
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Returns | |
---|---|
Type | Description |
Descriptor |
newBuilder()
public static ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder newBuilder()
Returns | |
---|---|
Type | Description |
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder |
newBuilder(ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row prototype)
public static ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder newBuilder(ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row prototype)
Parameter | |
---|---|
Name | Description |
prototype |
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row |
Returns | |
---|---|
Type | Description |
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder |
parseDelimitedFrom(InputStream input)
public static ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row parseDelimitedFrom(InputStream input)
Parameter | |
---|---|
Name | Description |
input |
InputStream |
Returns | |
---|---|
Type | Description |
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row |
Exceptions | |
---|---|
Type | Description |
IOException |
parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
public static ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters | |
---|---|
Name | Description |
input |
InputStream |
extensionRegistry |
ExtensionRegistryLite |
Returns | |
---|---|
Type | Description |
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row |
Exceptions | |
---|---|
Type | Description |
IOException |
parseFrom(byte[] data)
public static ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row parseFrom(byte[] data)
Parameter | |
---|---|
Name | Description |
data |
byte[] |
Returns | |
---|---|
Type | Description |
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row |
Exceptions | |
---|---|
Type | Description |
InvalidProtocolBufferException |
parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
public static ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters | |
---|---|
Name | Description |
data |
byte[] |
extensionRegistry |
ExtensionRegistryLite |
Returns | |
---|---|
Type | Description |
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row |
Exceptions | |
---|---|
Type | Description |
InvalidProtocolBufferException |
parseFrom(ByteString data)
public static ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row parseFrom(ByteString data)
Parameter | |
---|---|
Name | Description |
data |
ByteString |
Returns | |
---|---|
Type | Description |
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row |
Exceptions | |
---|---|
Type | Description |
InvalidProtocolBufferException |
parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
public static ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Parameters | |
---|---|
Name | Description |
data |
ByteString |
extensionRegistry |
ExtensionRegistryLite |
Returns | |
---|---|
Type | Description |
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row |
Exceptions | |
---|---|
Type | Description |
InvalidProtocolBufferException |
parseFrom(CodedInputStream input)
public static ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row parseFrom(CodedInputStream input)
Parameter | |
---|---|
Name | Description |
input |
CodedInputStream |
Returns | |
---|---|
Type | Description |
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row |
Exceptions | |
---|---|
Type | Description |
IOException |
parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public static ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters | |
---|---|
Name | Description |
input |
CodedInputStream |
extensionRegistry |
ExtensionRegistryLite |
Returns | |
---|---|
Type | Description |
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row |
Exceptions | |
---|---|
Type | Description |
IOException |
parseFrom(InputStream input)
public static ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row parseFrom(InputStream input)
Parameter | |
---|---|
Name | Description |
input |
InputStream |
Returns | |
---|---|
Type | Description |
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row |
Exceptions | |
---|---|
Type | Description |
IOException |
parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
public static ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters | |
---|---|
Name | Description |
input |
InputStream |
extensionRegistry |
ExtensionRegistryLite |
Returns | |
---|---|
Type | Description |
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row |
Exceptions | |
---|---|
Type | Description |
IOException |
parseFrom(ByteBuffer data)
public static ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row parseFrom(ByteBuffer data)
Parameter | |
---|---|
Name | Description |
data |
ByteBuffer |
Returns | |
---|---|
Type | Description |
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row |
Exceptions | |
---|---|
Type | Description |
InvalidProtocolBufferException |
parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
public static ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters | |
---|---|
Name | Description |
data |
ByteBuffer |
extensionRegistry |
ExtensionRegistryLite |
Returns | |
---|---|
Type | Description |
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row |
Exceptions | |
---|---|
Type | Description |
InvalidProtocolBufferException |
parser()
public static Parser<ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row> parser()
Returns | |
---|---|
Type | Description |
Parser<Row> |
Methods
equals(Object obj)
public boolean equals(Object obj)
Parameter | |
---|---|
Name | Description |
obj |
Object |
Returns | |
---|---|
Type | Description |
boolean |
getDefaultInstanceForType()
public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row getDefaultInstanceForType()
Returns | |
---|---|
Type | Description |
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row |
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;
Parameter | |
---|---|
Name | Description |
index |
int The index of the element to return. |
Returns | |
---|---|
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;
Returns | |
---|---|
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;
Returns | |
---|---|
Type | Description |
List<Integer> |
A list containing the exampleCount. |
getParserForType()
public Parser<ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row> getParserForType()
Returns | |
---|---|
Type | Description |
Parser<Row> |
getSerializedSize()
public int getSerializedSize()
Returns | |
---|---|
Type | Description |
int |
hashCode()
public int hashCode()
Returns | |
---|---|
Type | Description |
int |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns | |
---|---|
Type | Description |
FieldAccessorTable |
isInitialized()
public final boolean isInitialized()
Returns | |
---|---|
Type | Description |
boolean |
newBuilderForType()
public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder newBuilderForType()
Returns | |
---|---|
Type | Description |
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder |
newBuilderForType(GeneratedMessageV3.BuilderParent parent)
protected ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter | |
---|---|
Name | Description |
parent |
BuilderParent |
Returns | |
---|---|
Type | Description |
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder |
newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter | |
---|---|
Name | Description |
unused |
UnusedPrivateParameter |
Returns | |
---|---|
Type | Description |
Object |
toBuilder()
public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder toBuilder()
Returns | |
---|---|
Type | Description |
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder |
writeTo(CodedOutputStream output)
public void writeTo(CodedOutputStream output)
Parameter | |
---|---|
Name | Description |
output |
CodedOutputStream |
Exceptions | |
---|---|
Type | Description |
IOException |