public static final class AutoMlForecastingInputs.Transformation.NumericTransformation extends GeneratedMessageV3 implements AutoMlForecastingInputs.Transformation.NumericTransformationOrBuilder
Training pipeline will perform following transformation functions.
- The value converted to float32.
- The z_score of the value.
- log(value+1) when the value is greater than or equal to 0. Otherwise,
this transformation is not applied and the value is considered a
missing value.
- z_score of log(value+1) when the value is greater than or equal to 0.
Otherwise, this transformation is not applied and the value is
considered a missing value.
- A boolean value that indicates whether the value is valid.
Protobuf type
google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.NumericTransformation
Fields
public static final int COLUMN_NAME_FIELD_NUMBER
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public boolean equals(Object obj)
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public String getColumnName()
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Type | Description |
String | The columnName.
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public ByteString getColumnNameBytes()
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Type | Description |
ByteString | The bytes for columnName.
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public static AutoMlForecastingInputs.Transformation.NumericTransformation getDefaultInstance()
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public AutoMlForecastingInputs.Transformation.NumericTransformation getDefaultInstanceForType()
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public static final Descriptors.Descriptor getDescriptor()
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public Parser<AutoMlForecastingInputs.Transformation.NumericTransformation> getParserForType()
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public int getSerializedSize()
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public final UnknownFieldSet getUnknownFields()
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protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
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public final boolean isInitialized()
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public static AutoMlForecastingInputs.Transformation.NumericTransformation.Builder newBuilder()
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public static AutoMlForecastingInputs.Transformation.NumericTransformation.Builder newBuilder(AutoMlForecastingInputs.Transformation.NumericTransformation prototype)
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public AutoMlForecastingInputs.Transformation.NumericTransformation.Builder newBuilderForType()
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protected AutoMlForecastingInputs.Transformation.NumericTransformation.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
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protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
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public static AutoMlForecastingInputs.Transformation.NumericTransformation parseDelimitedFrom(InputStream input)
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public static AutoMlForecastingInputs.Transformation.NumericTransformation parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
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public static AutoMlForecastingInputs.Transformation.NumericTransformation parseFrom(byte[] data)
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Name | Description |
data | byte[]
|
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public static AutoMlForecastingInputs.Transformation.NumericTransformation parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
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public static AutoMlForecastingInputs.Transformation.NumericTransformation parseFrom(ByteString data)
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public static AutoMlForecastingInputs.Transformation.NumericTransformation parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
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public static AutoMlForecastingInputs.Transformation.NumericTransformation parseFrom(CodedInputStream input)
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public static AutoMlForecastingInputs.Transformation.NumericTransformation parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
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public static AutoMlForecastingInputs.Transformation.NumericTransformation parseFrom(InputStream input)
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public static AutoMlForecastingInputs.Transformation.NumericTransformation parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
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public static AutoMlForecastingInputs.Transformation.NumericTransformation parseFrom(ByteBuffer data)
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public static AutoMlForecastingInputs.Transformation.NumericTransformation parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
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public static Parser<AutoMlForecastingInputs.Transformation.NumericTransformation> parser()
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public AutoMlForecastingInputs.Transformation.NumericTransformation.Builder toBuilder()
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public void writeTo(CodedOutputStream output)
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