public class RFormulaModel extends Model<RFormulaModel> implements RFormulaBase, MLWritable
RFormula
. Fitting is required to determine the factor levels of
formula terms.
param: resolvedFormula the fitted R formula. param: pipelineModel the fitted feature model, including factor to index mappings.
Modifier and Type | Method and Description |
---|---|
RFormulaModel |
copy(ParamMap extra)
Creates a copy of this instance with the same UID and some extra params.
|
static RFormulaModel |
load(String path) |
static MLReader<RFormulaModel> |
read() |
String |
toString() |
Dataset<Row> |
transform(Dataset<?> dataset)
Transforms the input dataset.
|
StructType |
transformSchema(StructType schema)
:: DeveloperApi ::
|
String |
uid()
An immutable unique ID for the object and its derivatives.
|
MLWriter |
write()
Returns an
MLWriter instance for this ML instance. |
transform, transform, transform
forceIndexLabel, formula, getForceIndexLabel, getFormula, getStringIndexerOrderType, handleInvalid, hasLabelCol, stringIndexerOrderType
featuresCol, getFeaturesCol
getLabelCol, labelCol
getHandleInvalid
clear, copyValues, defaultCopy, defaultParamMap, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, paramMap, params, set, set, set, setDefault, setDefault, shouldOwn
save
initializeLogging, initializeLogIfNecessary, initializeLogIfNecessary, isTraceEnabled, log_, log, logDebug, logDebug, logError, logError, logInfo, logInfo, logName, logTrace, logTrace, logWarning, logWarning
public static MLReader<RFormulaModel> read()
public static RFormulaModel load(String path)
public String uid()
Identifiable
uid
in interface Identifiable
public Dataset<Row> transform(Dataset<?> dataset)
Transformer
transform
in class Transformer
dataset
- (undocumented)public StructType transformSchema(StructType schema)
PipelineStage
Check transform validity and derive the output schema from the input schema.
We check validity for interactions between parameters during transformSchema
and
raise an exception if any parameter value is invalid. Parameter value checks which
do not depend on other parameters are handled by Param.validate()
.
Typical implementation should first conduct verification on schema change and parameter validity, including complex parameter interaction checks.
transformSchema
in class PipelineStage
schema
- (undocumented)public RFormulaModel copy(ParamMap extra)
Params
defaultCopy()
.copy
in interface Params
copy
in class Model<RFormulaModel>
extra
- (undocumented)public String toString()
toString
in interface Identifiable
toString
in class Object
public MLWriter write()
MLWritable
MLWriter
instance for this ML instance.write
in interface MLWritable