Class AutoMlTablesInputs.Transformation.NumericTransformation.Builder (3.77.0)
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.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation
Inherited Members
com.google.protobuf.GeneratedMessageV3.Builder.getUnknownFieldSetBuilder()
com.google.protobuf.GeneratedMessageV3.Builder.internalGetMapFieldReflection(int)
com.google.protobuf.GeneratedMessageV3.Builder.internalGetMutableMapFieldReflection(int)
com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownLengthDelimitedField(int,com.google.protobuf.ByteString)
com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownVarintField(int,int)
com.google.protobuf.GeneratedMessageV3.Builder.parseUnknownField(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite,int)
com.google.protobuf.GeneratedMessageV3.Builder.setUnknownFieldSetBuilder(com.google.protobuf.UnknownFieldSet.Builder)
Static Methods
public static final Descriptors.Descriptor getDescriptor()
Methods
public AutoMlTablesInputs.Transformation.NumericTransformation.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Overrides
public AutoMlTablesInputs.Transformation.NumericTransformation build()
public AutoMlTablesInputs.Transformation.NumericTransformation buildPartial()
public AutoMlTablesInputs.Transformation.NumericTransformation.Builder clear()
Overrides
public AutoMlTablesInputs.Transformation.NumericTransformation.Builder clearColumnName()
public AutoMlTablesInputs.Transformation.NumericTransformation.Builder clearField(Descriptors.FieldDescriptor field)
Overrides
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;
public AutoMlTablesInputs.Transformation.NumericTransformation.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Overrides
public AutoMlTablesInputs.Transformation.NumericTransformation.Builder clone()
Overrides
public String getColumnName()
| Returns |
| Type |
Description |
String |
The columnName.
|
public ByteString getColumnNameBytes()
| Returns |
| Type |
Description |
ByteString |
The bytes for columnName.
|
public AutoMlTablesInputs.Transformation.NumericTransformation getDefaultInstanceForType()
public Descriptors.Descriptor getDescriptorForType()
Overrides
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.
|
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Overrides
public final boolean isInitialized()
Overrides
public AutoMlTablesInputs.Transformation.NumericTransformation.Builder mergeFrom(AutoMlTablesInputs.Transformation.NumericTransformation other)
public AutoMlTablesInputs.Transformation.NumericTransformation.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Overrides
public AutoMlTablesInputs.Transformation.NumericTransformation.Builder mergeFrom(Message other)
| Parameter |
| Name |
Description |
other |
Message
|
Overrides
public final AutoMlTablesInputs.Transformation.NumericTransformation.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Overrides
public AutoMlTablesInputs.Transformation.NumericTransformation.Builder setColumnName(String value)
| Parameter |
| Name |
Description |
value |
String
The columnName to set.
|
public AutoMlTablesInputs.Transformation.NumericTransformation.Builder setColumnNameBytes(ByteString value)
| Parameter |
| Name |
Description |
value |
ByteString
The bytes for columnName to set.
|
public AutoMlTablesInputs.Transformation.NumericTransformation.Builder setField(Descriptors.FieldDescriptor field, Object value)
Overrides
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.
|
public AutoMlTablesInputs.Transformation.NumericTransformation.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Overrides
public final AutoMlTablesInputs.Transformation.NumericTransformation.Builder setUnknownFields(UnknownFieldSet unknownFields)
Overrides
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Last updated 2025-10-11 UTC.
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