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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.BuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Returns | |
---|---|
Type | Description |
Descriptor |
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 |
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 |
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 |
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 |
clone()
public AutoMlTablesInputs.Transformation.NumericTransformation.Builder clone()
Returns | |
---|---|
Type | Description |
AutoMlTablesInputs.Transformation.NumericTransformation.Builder |
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 |
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()
Returns | |
---|---|
Type | Description |
Descriptor |
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 |
isInitialized()
public final boolean isInitialized()
Returns | |
---|---|
Type | Description |
boolean |
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 |
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 |
mergeUnknownFields(UnknownFieldSet unknownFields)
public final AutoMlTablesInputs.Transformation.NumericTransformation.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter | |
---|---|
Name | Description |
unknownFields | UnknownFieldSet |
Returns | |
---|---|
Type | Description |
AutoMlTablesInputs.Transformation.NumericTransformation.Builder |
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 |
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 |
setUnknownFields(UnknownFieldSet unknownFields)
public final AutoMlTablesInputs.Transformation.NumericTransformation.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter | |
---|---|
Name | Description |
unknownFields | UnknownFieldSet |
Returns | |
---|---|
Type | Description |
AutoMlTablesInputs.Transformation.NumericTransformation.Builder |