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public static final class AutoMlForecastingInputs.Transformation.NumericTransformation.Builder extends GeneratedMessageV3.Builder<AutoMlForecastingInputs.Transformation.NumericTransformation.Builder> 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
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > AutoMlForecastingInputs.Transformation.NumericTransformation.BuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Type | Description |
Descriptor |
Methods
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public AutoMlForecastingInputs.Transformation.NumericTransformation.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Name | Description |
field | FieldDescriptor |
value | Object |
Type | Description |
AutoMlForecastingInputs.Transformation.NumericTransformation.Builder |
build()
public AutoMlForecastingInputs.Transformation.NumericTransformation build()
Type | Description |
AutoMlForecastingInputs.Transformation.NumericTransformation |
buildPartial()
public AutoMlForecastingInputs.Transformation.NumericTransformation buildPartial()
Type | Description |
AutoMlForecastingInputs.Transformation.NumericTransformation |
clear()
public AutoMlForecastingInputs.Transformation.NumericTransformation.Builder clear()
Type | Description |
AutoMlForecastingInputs.Transformation.NumericTransformation.Builder |
clearColumnName()
public AutoMlForecastingInputs.Transformation.NumericTransformation.Builder clearColumnName()
string column_name = 1;
Type | Description |
AutoMlForecastingInputs.Transformation.NumericTransformation.Builder | This builder for chaining. |
clearField(Descriptors.FieldDescriptor field)
public AutoMlForecastingInputs.Transformation.NumericTransformation.Builder clearField(Descriptors.FieldDescriptor field)
Name | Description |
field | FieldDescriptor |
Type | Description |
AutoMlForecastingInputs.Transformation.NumericTransformation.Builder |
clearOneof(Descriptors.OneofDescriptor oneof)
public AutoMlForecastingInputs.Transformation.NumericTransformation.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Name | Description |
oneof | OneofDescriptor |
Type | Description |
AutoMlForecastingInputs.Transformation.NumericTransformation.Builder |
clone()
public AutoMlForecastingInputs.Transformation.NumericTransformation.Builder clone()
Type | Description |
AutoMlForecastingInputs.Transformation.NumericTransformation.Builder |
getColumnName()
public String getColumnName()
string column_name = 1;
Type | Description |
String | The columnName. |
getColumnNameBytes()
public ByteString getColumnNameBytes()
string column_name = 1;
Type | Description |
ByteString | The bytes for columnName. |
getDefaultInstanceForType()
public AutoMlForecastingInputs.Transformation.NumericTransformation getDefaultInstanceForType()
Type | Description |
AutoMlForecastingInputs.Transformation.NumericTransformation |
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()
Type | Description |
Descriptor |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Type | Description |
FieldAccessorTable |
isInitialized()
public final boolean isInitialized()
Type | Description |
boolean |
mergeFrom(AutoMlForecastingInputs.Transformation.NumericTransformation other)
public AutoMlForecastingInputs.Transformation.NumericTransformation.Builder mergeFrom(AutoMlForecastingInputs.Transformation.NumericTransformation other)
Name | Description |
other | AutoMlForecastingInputs.Transformation.NumericTransformation |
Type | Description |
AutoMlForecastingInputs.Transformation.NumericTransformation.Builder |
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public AutoMlForecastingInputs.Transformation.NumericTransformation.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Name | Description |
input | CodedInputStream |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
AutoMlForecastingInputs.Transformation.NumericTransformation.Builder |
Type | Description |
IOException |
mergeFrom(Message other)
public AutoMlForecastingInputs.Transformation.NumericTransformation.Builder mergeFrom(Message other)
Name | Description |
other | Message |
Type | Description |
AutoMlForecastingInputs.Transformation.NumericTransformation.Builder |
mergeUnknownFields(UnknownFieldSet unknownFields)
public final AutoMlForecastingInputs.Transformation.NumericTransformation.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Name | Description |
unknownFields | UnknownFieldSet |
Type | Description |
AutoMlForecastingInputs.Transformation.NumericTransformation.Builder |
setColumnName(String value)
public AutoMlForecastingInputs.Transformation.NumericTransformation.Builder setColumnName(String value)
string column_name = 1;
Name | Description |
value | String The columnName to set. |
Type | Description |
AutoMlForecastingInputs.Transformation.NumericTransformation.Builder | This builder for chaining. |
setColumnNameBytes(ByteString value)
public AutoMlForecastingInputs.Transformation.NumericTransformation.Builder setColumnNameBytes(ByteString value)
string column_name = 1;
Name | Description |
value | ByteString The bytes for columnName to set. |
Type | Description |
AutoMlForecastingInputs.Transformation.NumericTransformation.Builder | This builder for chaining. |
setField(Descriptors.FieldDescriptor field, Object value)
public AutoMlForecastingInputs.Transformation.NumericTransformation.Builder setField(Descriptors.FieldDescriptor field, Object value)
Name | Description |
field | FieldDescriptor |
value | Object |
Type | Description |
AutoMlForecastingInputs.Transformation.NumericTransformation.Builder |
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public AutoMlForecastingInputs.Transformation.NumericTransformation.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Name | Description |
field | FieldDescriptor |
index | int |
value | Object |
Type | Description |
AutoMlForecastingInputs.Transformation.NumericTransformation.Builder |
setUnknownFields(UnknownFieldSet unknownFields)
public final AutoMlForecastingInputs.Transformation.NumericTransformation.Builder setUnknownFields(UnknownFieldSet unknownFields)
Name | Description |
unknownFields | UnknownFieldSet |
Type | Description |
AutoMlForecastingInputs.Transformation.NumericTransformation.Builder |