Experimental

org.apache.spark.ml.regression

Class AFTSurvivalRegressionModel

Object

org.apache.spark.ml.PipelineStage

org.apache.spark.ml.Transformer

org.apache.spark.ml.Model<AFTSurvivalRegressionModel>

org.apache.spark.ml.regression.AFTSurvivalRegressionModel

All Implemented Interfaces:

java.io.Serializable, Logging, Params, HasAggregationDepth, HasFeaturesCol, HasFitIntercept, HasLabelCol, HasMaxIter, HasPredictionCol, HasTol, AFTSurvivalRegressionParams, Identifiable, MLWritable

public class AFTSurvivalRegressionModel
extends Model<AFTSurvivalRegressionModel>
implements AFTSurvivalRegressionParams, MLWritable

Model produced by AFTSurvivalRegression.

See Also:

Serialized Form

Method Summary

Modifier and Type	Method and Description
Vector	coefficients()
AFTSurvivalRegressionModel	copy(ParamMap extra) Creates a copy of this instance with the same UID and some extra params.
double	intercept()
static AFTSurvivalRegressionModel	load(String path)
double	predict(Vector features)
Vector	predictQuantiles(Vector features)
static MLReader<AFTSurvivalRegressionModel>	read()
double	scale()
AFTSurvivalRegressionModel	setFeaturesCol(String value)
AFTSurvivalRegressionModel	setPredictionCol(String value)
AFTSurvivalRegressionModel	setQuantileProbabilities(double[] value)
AFTSurvivalRegressionModel	setQuantilesCol(String value)
Dataset<Row>	transform(Dataset<?> dataset) Transforms the input dataset.
StructType	Developer APItransformSchema(StructType schema)
String	uid() An immutable unique ID for the object and its derivatives.
MLWriter	write() Returns an MLWriter instance for this ML instance.

Methods inherited from class org.apache.spark.ml.Model

hasParent, parent, setParent

Methods inherited from class org.apache.spark.ml.Transformer

transform, transform, transform

Methods inherited from class Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface org.apache.spark.ml.regression.AFTSurvivalRegressionParams

censorCol, getCensorCol, getQuantileProbabilities, getQuantilesCol, hasQuantilesCol, quantileProbabilities, quantilesCol, validateAndTransformSchema

Methods inherited from interface org.apache.spark.ml.param.shared.HasFeaturesCol

featuresCol, getFeaturesCol

Methods inherited from interface org.apache.spark.ml.param.shared.HasLabelCol

getLabelCol, labelCol

Methods inherited from interface org.apache.spark.ml.param.shared.HasPredictionCol

getPredictionCol, predictionCol

Methods inherited from interface org.apache.spark.ml.param.shared.HasMaxIter

getMaxIter, maxIter

Methods inherited from interface org.apache.spark.ml.param.shared.HasTol

getTol, tol

Methods inherited from interface org.apache.spark.ml.param.shared.HasFitIntercept

fitIntercept, getFitIntercept

Methods inherited from interface org.apache.spark.ml.param.shared.HasAggregationDepth

aggregationDepth, getAggregationDepth

Methods inherited from interface org.apache.spark.ml.param.Params

clear, copyValues, defaultCopy, defaultParamMap, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, paramMap, params, set, set, set, setDefault, setDefault, shouldOwn

Methods inherited from interface org.apache.spark.ml.util.Identifiable

toString

Methods inherited from interface org.apache.spark.internal.Logging

initializeLogging, initializeLogIfNecessary, initializeLogIfNecessary, isTraceEnabled, log_, log, logDebug, logDebug, logError, logError, logInfo, logInfo, logName, logTrace, logTrace, logWarning, logWarning

Methods inherited from interface org.apache.spark.ml.util.MLWritable

save

Method Detail

read

public static MLReader<AFTSurvivalRegressionModel> read()

load

public static AFTSurvivalRegressionModel load(String path)

uid

public String uid()

Description copied from interface: Identifiable

An immutable unique ID for the object and its derivatives.

Specified by:

uid in interface Identifiable

Returns:

(undocumented)

coefficients

public Vector coefficients()

intercept

public double intercept()

scale

public double scale()

setFeaturesCol

public AFTSurvivalRegressionModel setFeaturesCol(String value)

setPredictionCol

public AFTSurvivalRegressionModel setPredictionCol(String value)

setQuantileProbabilities

public AFTSurvivalRegressionModel setQuantileProbabilities(double[] value)

setQuantilesCol

public AFTSurvivalRegressionModel setQuantilesCol(String value)

predictQuantiles

public Vector predictQuantiles(Vector features)

predict

public double predict(Vector features)

transform

public Dataset<Row> transform(Dataset<?> dataset)

Description copied from class: Transformer

Transforms the input dataset.

Specified by:

transform in class Transformer

Parameters:

dataset - (undocumented)

Returns:

(undocumented)

Developer API

transformSchema

public StructType transformSchema(StructType schema)

Description copied from class: 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.

Specified by:

transformSchema in class PipelineStage

Parameters:

schema - (undocumented)

Returns:

(undocumented)

copy

public AFTSurvivalRegressionModel copy(ParamMap extra)

Description copied from interface: Params

Creates a copy of this instance with the same UID and some extra params. Subclasses should implement this method and set the return type properly. See defaultCopy().

Specified by:

copy in interface Params

Specified by:

copy in class Model<AFTSurvivalRegressionModel>

Parameters:

extra - (undocumented)

Returns:

(undocumented)

write

public MLWriter write()

Description copied from interface: MLWritable

Returns an MLWriter instance for this ML instance.

Specified by:

write in interface MLWritable

Returns:

(undocumented)