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public static final class RegressionProto.RegressionEvaluationMetrics extends GeneratedMessageV3 implements RegressionProto.RegressionEvaluationMetricsOrBuilder
Metrics for regression problems.
Protobuf type google.cloud.automl.v1beta1.RegressionEvaluationMetrics
Inheritance
Object > AbstractMessageLite<MessageType,BuilderType> > AbstractMessage > GeneratedMessageV3 > RegressionProto.RegressionEvaluationMetricsStatic Fields
MEAN_ABSOLUTE_ERROR_FIELD_NUMBER
public static final int MEAN_ABSOLUTE_ERROR_FIELD_NUMBER
Field Value | |
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Type | Description |
int |
MEAN_ABSOLUTE_PERCENTAGE_ERROR_FIELD_NUMBER
public static final int MEAN_ABSOLUTE_PERCENTAGE_ERROR_FIELD_NUMBER
Field Value | |
---|---|
Type | Description |
int |
ROOT_MEAN_SQUARED_ERROR_FIELD_NUMBER
public static final int ROOT_MEAN_SQUARED_ERROR_FIELD_NUMBER
Field Value | |
---|---|
Type | Description |
int |
ROOT_MEAN_SQUARED_LOG_ERROR_FIELD_NUMBER
public static final int ROOT_MEAN_SQUARED_LOG_ERROR_FIELD_NUMBER
Field Value | |
---|---|
Type | Description |
int |
R_SQUARED_FIELD_NUMBER
public static final int R_SQUARED_FIELD_NUMBER
Field Value | |
---|---|
Type | Description |
int |
Static Methods
getDefaultInstance()
public static RegressionProto.RegressionEvaluationMetrics getDefaultInstance()
Returns | |
---|---|
Type | Description |
RegressionProto.RegressionEvaluationMetrics |
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Returns | |
---|---|
Type | Description |
Descriptor |
newBuilder()
public static RegressionProto.RegressionEvaluationMetrics.Builder newBuilder()
Returns | |
---|---|
Type | Description |
RegressionProto.RegressionEvaluationMetrics.Builder |
newBuilder(RegressionProto.RegressionEvaluationMetrics prototype)
public static RegressionProto.RegressionEvaluationMetrics.Builder newBuilder(RegressionProto.RegressionEvaluationMetrics prototype)
Parameter | |
---|---|
Name | Description |
prototype | RegressionProto.RegressionEvaluationMetrics |
Returns | |
---|---|
Type | Description |
RegressionProto.RegressionEvaluationMetrics.Builder |
parseDelimitedFrom(InputStream input)
public static RegressionProto.RegressionEvaluationMetrics parseDelimitedFrom(InputStream input)
Parameter | |
---|---|
Name | Description |
input | InputStream |
Returns | |
---|---|
Type | Description |
RegressionProto.RegressionEvaluationMetrics |
Exceptions | |
---|---|
Type | Description |
IOException |
parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
public static RegressionProto.RegressionEvaluationMetrics parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters | |
---|---|
Name | Description |
input | InputStream |
extensionRegistry | ExtensionRegistryLite |
Returns | |
---|---|
Type | Description |
RegressionProto.RegressionEvaluationMetrics |
Exceptions | |
---|---|
Type | Description |
IOException |
parseFrom(byte[] data)
public static RegressionProto.RegressionEvaluationMetrics parseFrom(byte[] data)
Parameter | |
---|---|
Name | Description |
data | byte[] |
Returns | |
---|---|
Type | Description |
RegressionProto.RegressionEvaluationMetrics |
Exceptions | |
---|---|
Type | Description |
InvalidProtocolBufferException |
parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
public static RegressionProto.RegressionEvaluationMetrics parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters | |
---|---|
Name | Description |
data | byte[] |
extensionRegistry | ExtensionRegistryLite |
Returns | |
---|---|
Type | Description |
RegressionProto.RegressionEvaluationMetrics |
Exceptions | |
---|---|
Type | Description |
InvalidProtocolBufferException |
parseFrom(ByteString data)
public static RegressionProto.RegressionEvaluationMetrics parseFrom(ByteString data)
Parameter | |
---|---|
Name | Description |
data | ByteString |
Returns | |
---|---|
Type | Description |
RegressionProto.RegressionEvaluationMetrics |
Exceptions | |
---|---|
Type | Description |
InvalidProtocolBufferException |
parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
public static RegressionProto.RegressionEvaluationMetrics parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Parameters | |
---|---|
Name | Description |
data | ByteString |
extensionRegistry | ExtensionRegistryLite |
Returns | |
---|---|
Type | Description |
RegressionProto.RegressionEvaluationMetrics |
Exceptions | |
---|---|
Type | Description |
InvalidProtocolBufferException |
parseFrom(CodedInputStream input)
public static RegressionProto.RegressionEvaluationMetrics parseFrom(CodedInputStream input)
Parameter | |
---|---|
Name | Description |
input | CodedInputStream |
Returns | |
---|---|
Type | Description |
RegressionProto.RegressionEvaluationMetrics |
Exceptions | |
---|---|
Type | Description |
IOException |
parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public static RegressionProto.RegressionEvaluationMetrics parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters | |
---|---|
Name | Description |
input | CodedInputStream |
extensionRegistry | ExtensionRegistryLite |
Returns | |
---|---|
Type | Description |
RegressionProto.RegressionEvaluationMetrics |
Exceptions | |
---|---|
Type | Description |
IOException |
parseFrom(InputStream input)
public static RegressionProto.RegressionEvaluationMetrics parseFrom(InputStream input)
Parameter | |
---|---|
Name | Description |
input | InputStream |
Returns | |
---|---|
Type | Description |
RegressionProto.RegressionEvaluationMetrics |
Exceptions | |
---|---|
Type | Description |
IOException |
parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
public static RegressionProto.RegressionEvaluationMetrics parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters | |
---|---|
Name | Description |
input | InputStream |
extensionRegistry | ExtensionRegistryLite |
Returns | |
---|---|
Type | Description |
RegressionProto.RegressionEvaluationMetrics |
Exceptions | |
---|---|
Type | Description |
IOException |
parseFrom(ByteBuffer data)
public static RegressionProto.RegressionEvaluationMetrics parseFrom(ByteBuffer data)
Parameter | |
---|---|
Name | Description |
data | ByteBuffer |
Returns | |
---|---|
Type | Description |
RegressionProto.RegressionEvaluationMetrics |
Exceptions | |
---|---|
Type | Description |
InvalidProtocolBufferException |
parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
public static RegressionProto.RegressionEvaluationMetrics parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters | |
---|---|
Name | Description |
data | ByteBuffer |
extensionRegistry | ExtensionRegistryLite |
Returns | |
---|---|
Type | Description |
RegressionProto.RegressionEvaluationMetrics |
Exceptions | |
---|---|
Type | Description |
InvalidProtocolBufferException |
parser()
public static Parser<RegressionProto.RegressionEvaluationMetrics> parser()
Returns | |
---|---|
Type | Description |
Parser<RegressionEvaluationMetrics> |
Methods
equals(Object obj)
public boolean equals(Object obj)
Parameter | |
---|---|
Name | Description |
obj | Object |
Returns | |
---|---|
Type | Description |
boolean |
getDefaultInstanceForType()
public RegressionProto.RegressionEvaluationMetrics getDefaultInstanceForType()
Returns | |
---|---|
Type | Description |
RegressionProto.RegressionEvaluationMetrics |
getMeanAbsoluteError()
public float getMeanAbsoluteError()
Output only. Mean Absolute Error (MAE).
float mean_absolute_error = 2;
Returns | |
---|---|
Type | Description |
float | The meanAbsoluteError. |
getMeanAbsolutePercentageError()
public float getMeanAbsolutePercentageError()
Output only. Mean absolute percentage error. Only set if all ground truth values are are positive.
float mean_absolute_percentage_error = 3;
Returns | |
---|---|
Type | Description |
float | The meanAbsolutePercentageError. |
getParserForType()
public Parser<RegressionProto.RegressionEvaluationMetrics> getParserForType()
Returns | |
---|---|
Type | Description |
Parser<RegressionEvaluationMetrics> |
getRSquared()
public float getRSquared()
Output only. R squared.
float r_squared = 4;
Returns | |
---|---|
Type | Description |
float | The rSquared. |
getRootMeanSquaredError()
public float getRootMeanSquaredError()
Output only. Root Mean Squared Error (RMSE).
float root_mean_squared_error = 1;
Returns | |
---|---|
Type | Description |
float | The rootMeanSquaredError. |
getRootMeanSquaredLogError()
public float getRootMeanSquaredLogError()
Output only. Root mean squared log error.
float root_mean_squared_log_error = 5;
Returns | |
---|---|
Type | Description |
float | The rootMeanSquaredLogError. |
getSerializedSize()
public int getSerializedSize()
Returns | |
---|---|
Type | Description |
int |
getUnknownFields()
public final UnknownFieldSet getUnknownFields()
Returns | |
---|---|
Type | Description |
UnknownFieldSet |
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 RegressionProto.RegressionEvaluationMetrics.Builder newBuilderForType()
Returns | |
---|---|
Type | Description |
RegressionProto.RegressionEvaluationMetrics.Builder |
newBuilderForType(GeneratedMessageV3.BuilderParent parent)
protected RegressionProto.RegressionEvaluationMetrics.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter | |
---|---|
Name | Description |
parent | BuilderParent |
Returns | |
---|---|
Type | Description |
RegressionProto.RegressionEvaluationMetrics.Builder |
newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter | |
---|---|
Name | Description |
unused | UnusedPrivateParameter |
Returns | |
---|---|
Type | Description |
Object |
toBuilder()
public RegressionProto.RegressionEvaluationMetrics.Builder toBuilder()
Returns | |
---|---|
Type | Description |
RegressionProto.RegressionEvaluationMetrics.Builder |
writeTo(CodedOutputStream output)
public void writeTo(CodedOutputStream output)
Parameter | |
---|---|
Name | Description |
output | CodedOutputStream |
Exceptions | |
---|---|
Type | Description |
IOException |