| Package | Description |
|---|---|
| com.google.cloud.aiplatform.v1.schema.trainingjob.definition |
| Modifier and Type | Method and Description |
|---|---|
AutoMlTablesInputs.Transformation.NumericTransformation.Builder |
AutoMlTablesInputs.Transformation.NumericTransformation.Builder.clear() |
AutoMlTablesInputs.Transformation.NumericTransformation.Builder |
AutoMlTablesInputs.Transformation.NumericTransformation.Builder.clearColumnName()
string column_name = 1; |
AutoMlTablesInputs.Transformation.NumericTransformation.Builder |
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.
|
AutoMlTablesInputs.Transformation.NumericTransformation.Builder |
AutoMlTablesInputs.Transformation.Builder.getNumericBuilder()
.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation numeric = 2;
|
AutoMlTablesInputs.Transformation.NumericTransformation.Builder |
AutoMlTablesInputs.Transformation.NumericTransformation.Builder.mergeFrom(AutoMlTablesInputs.Transformation.NumericTransformation other) |
AutoMlTablesInputs.Transformation.NumericTransformation.Builder |
AutoMlTablesInputs.Transformation.NumericTransformation.Builder.mergeFrom(com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
AutoMlTablesInputs.Transformation.NumericTransformation.Builder |
AutoMlTablesInputs.Transformation.NumericTransformation.Builder.mergeFrom(com.google.protobuf.Message other) |
static AutoMlTablesInputs.Transformation.NumericTransformation.Builder |
AutoMlTablesInputs.Transformation.NumericTransformation.newBuilder() |
static AutoMlTablesInputs.Transformation.NumericTransformation.Builder |
AutoMlTablesInputs.Transformation.NumericTransformation.newBuilder(AutoMlTablesInputs.Transformation.NumericTransformation prototype) |
AutoMlTablesInputs.Transformation.NumericTransformation.Builder |
AutoMlTablesInputs.Transformation.NumericTransformation.newBuilderForType() |
protected AutoMlTablesInputs.Transformation.NumericTransformation.Builder |
AutoMlTablesInputs.Transformation.NumericTransformation.newBuilderForType(com.google.protobuf.AbstractMessage.BuilderParent parent) |
AutoMlTablesInputs.Transformation.NumericTransformation.Builder |
AutoMlTablesInputs.Transformation.NumericTransformation.Builder.setColumnName(String value)
string column_name = 1; |
AutoMlTablesInputs.Transformation.NumericTransformation.Builder |
AutoMlTablesInputs.Transformation.NumericTransformation.Builder.setColumnNameBytes(com.google.protobuf.ByteString value)
string column_name = 1; |
AutoMlTablesInputs.Transformation.NumericTransformation.Builder |
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.
|
AutoMlTablesInputs.Transformation.NumericTransformation.Builder |
AutoMlTablesInputs.Transformation.NumericTransformation.toBuilder() |
| Modifier and Type | Method and Description |
|---|---|
AutoMlTablesInputs.Transformation.Builder |
AutoMlTablesInputs.Transformation.Builder.setNumeric(AutoMlTablesInputs.Transformation.NumericTransformation.Builder builderForValue)
.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation numeric = 2;
|
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