Class AutoMlTablesInputs.Transformation.NumericTransformation.Builder (2.5.3)

public static final class AutoMlTablesInputs.Transformation.NumericTransformation.Builder extends GeneratedMessageV3.Builder<AutoMlTablesInputs.Transformation.NumericTransformation.Builder> implements AutoMlTablesInputs.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.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation

Inheritance

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > AutoMlTablesInputs.Transformation.NumericTransformation.Builder

Methods

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public AutoMlTablesInputs.Transformation.NumericTransformation.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
AutoMlTablesInputs.Transformation.NumericTransformation.Builder
Overrides

build()

public AutoMlTablesInputs.Transformation.NumericTransformation build()
Returns
Type Description
AutoMlTablesInputs.Transformation.NumericTransformation

buildPartial()

public AutoMlTablesInputs.Transformation.NumericTransformation buildPartial()
Returns
Type Description
AutoMlTablesInputs.Transformation.NumericTransformation

clear()

public AutoMlTablesInputs.Transformation.NumericTransformation.Builder clear()
Returns
Type Description
AutoMlTablesInputs.Transformation.NumericTransformation.Builder
Overrides

clearColumnName()

public AutoMlTablesInputs.Transformation.NumericTransformation.Builder clearColumnName()

string column_name = 1;

Returns
Type Description
AutoMlTablesInputs.Transformation.NumericTransformation.Builder

This builder for chaining.

clearField(Descriptors.FieldDescriptor field)

public AutoMlTablesInputs.Transformation.NumericTransformation.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
Name Description
field FieldDescriptor
Returns
Type Description
AutoMlTablesInputs.Transformation.NumericTransformation.Builder
Overrides

clearInvalidValuesAllowed()

public AutoMlTablesInputs.Transformation.NumericTransformation.Builder clearInvalidValuesAllowed()

If invalid values is allowed, the training pipeline will create a boolean feature that indicated whether the value is valid. Otherwise, the training pipeline will discard the input row from trainining data.

bool invalid_values_allowed = 2;

Returns
Type Description
AutoMlTablesInputs.Transformation.NumericTransformation.Builder

This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public AutoMlTablesInputs.Transformation.NumericTransformation.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
Name Description
oneof OneofDescriptor
Returns
Type Description
AutoMlTablesInputs.Transformation.NumericTransformation.Builder
Overrides

clone()

public AutoMlTablesInputs.Transformation.NumericTransformation.Builder clone()
Returns
Type Description
AutoMlTablesInputs.Transformation.NumericTransformation.Builder
Overrides

getColumnName()

public String getColumnName()

string column_name = 1;

Returns
Type Description
String

The columnName.

getColumnNameBytes()

public ByteString getColumnNameBytes()

string column_name = 1;

Returns
Type Description
ByteString

The bytes for columnName.

getDefaultInstanceForType()

public AutoMlTablesInputs.Transformation.NumericTransformation getDefaultInstanceForType()
Returns
Type Description
AutoMlTablesInputs.Transformation.NumericTransformation

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
Type Description
Descriptor

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
Type Description
Descriptor
Overrides

getInvalidValuesAllowed()

public boolean getInvalidValuesAllowed()

If invalid values is allowed, the training pipeline will create a boolean feature that indicated whether the value is valid. Otherwise, the training pipeline will discard the input row from trainining data.

bool invalid_values_allowed = 2;

Returns
Type Description
boolean

The invalidValuesAllowed.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Type Description
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

mergeFrom(AutoMlTablesInputs.Transformation.NumericTransformation other)

public AutoMlTablesInputs.Transformation.NumericTransformation.Builder mergeFrom(AutoMlTablesInputs.Transformation.NumericTransformation other)
Parameter
Name Description
other AutoMlTablesInputs.Transformation.NumericTransformation
Returns
Type Description
AutoMlTablesInputs.Transformation.NumericTransformation.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public AutoMlTablesInputs.Transformation.NumericTransformation.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input CodedInputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
AutoMlTablesInputs.Transformation.NumericTransformation.Builder
Overrides Exceptions
Type Description
IOException

mergeFrom(Message other)

public AutoMlTablesInputs.Transformation.NumericTransformation.Builder mergeFrom(Message other)
Parameter
Name Description
other Message
Returns
Type Description
AutoMlTablesInputs.Transformation.NumericTransformation.Builder
Overrides

mergeUnknownFields(UnknownFieldSet unknownFields)

public final AutoMlTablesInputs.Transformation.NumericTransformation.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
AutoMlTablesInputs.Transformation.NumericTransformation.Builder
Overrides

setColumnName(String value)

public AutoMlTablesInputs.Transformation.NumericTransformation.Builder setColumnName(String value)

string column_name = 1;

Parameter
Name Description
value String

The columnName to set.

Returns
Type Description
AutoMlTablesInputs.Transformation.NumericTransformation.Builder

This builder for chaining.

setColumnNameBytes(ByteString value)

public AutoMlTablesInputs.Transformation.NumericTransformation.Builder setColumnNameBytes(ByteString value)

string column_name = 1;

Parameter
Name Description
value ByteString

The bytes for columnName to set.

Returns
Type Description
AutoMlTablesInputs.Transformation.NumericTransformation.Builder

This builder for chaining.

setField(Descriptors.FieldDescriptor field, Object value)

public AutoMlTablesInputs.Transformation.NumericTransformation.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
AutoMlTablesInputs.Transformation.NumericTransformation.Builder
Overrides

setInvalidValuesAllowed(boolean value)

public AutoMlTablesInputs.Transformation.NumericTransformation.Builder setInvalidValuesAllowed(boolean value)

If invalid values is allowed, the training pipeline will create a boolean feature that indicated whether the value is valid. Otherwise, the training pipeline will discard the input row from trainining data.

bool invalid_values_allowed = 2;

Parameter
Name Description
value boolean

The invalidValuesAllowed to set.

Returns
Type Description
AutoMlTablesInputs.Transformation.NumericTransformation.Builder

This builder for chaining.

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public AutoMlTablesInputs.Transformation.NumericTransformation.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
Name Description
field FieldDescriptor
index int
value Object
Returns
Type Description
AutoMlTablesInputs.Transformation.NumericTransformation.Builder
Overrides

setUnknownFields(UnknownFieldSet unknownFields)

public final AutoMlTablesInputs.Transformation.NumericTransformation.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
AutoMlTablesInputs.Transformation.NumericTransformation.Builder
Overrides