public final class DecisionTreeClassificationModel extends ProbabilisticClassificationModel<Vector,DecisionTreeClassificationModel> implements scala.Serializable
Decision tree
model for classification.
It supports both binary and multiclass labels, as well as both continuous and categorical
features.Modifier and Type | Method and Description |
---|---|
DecisionTreeClassificationModel |
copy(ParamMap extra)
Creates a copy of this instance with the same UID and some extra params.
|
Param<String> |
featuresCol()
Param for features column name.
|
static DecisionTreeClassificationModel |
fromOld(DecisionTreeModel oldModel,
DecisionTreeClassifier parent,
scala.collection.immutable.Map<Object,Object> categoricalFeatures,
int numFeatures)
(private[ml]) Convert a model from the old API
|
String |
getFeaturesCol() |
String |
getLabelCol() |
String |
getPredictionCol() |
String |
getRawPredictionCol() |
Param<String> |
labelCol()
Param for label column name.
|
int |
numClasses()
Number of classes (values which the label can take).
|
int |
numFeatures()
Returns the number of features the model was trained on.
|
Param<String> |
predictionCol()
Param for prediction column name.
|
Param<String> |
rawPredictionCol()
Param for raw prediction (a.k.a.
|
Node |
rootNode() |
String |
toString() |
String |
uid()
An immutable unique ID for the object and its derivatives.
|
StructType |
validateAndTransformSchema(StructType schema,
boolean fitting,
DataType featuresDataType) |
StructType |
validateAndTransformSchema(StructType schema,
boolean fitting,
DataType featuresDataType)
Validates and transforms the input schema with the provided param map.
|
normalizeToProbabilitiesInPlace, setProbabilityCol, setThresholds, transform
setRawPredictionCol
setFeaturesCol, setPredictionCol, transformSchema
transform, transform, transform
clear, copyValues, defaultCopy, defaultParamMap, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, paramMap, params, set, set, set, setDefault, setDefault, shouldOwn, validateParams
initializeIfNecessary, initializeLogging, isTraceEnabled, log_, log, logDebug, logDebug, logError, logError, logInfo, logInfo, logName, logTrace, logTrace, logWarning, logWarning
public static DecisionTreeClassificationModel fromOld(DecisionTreeModel oldModel, DecisionTreeClassifier parent, scala.collection.immutable.Map<Object,Object> categoricalFeatures, int numFeatures)
public String uid()
Identifiable
uid
in interface Identifiable
public Node rootNode()
public int numFeatures()
PredictionModel
numFeatures
in class PredictionModel<Vector,DecisionTreeClassificationModel>
public int numClasses()
ClassificationModel
numClasses
in class ClassificationModel<Vector,DecisionTreeClassificationModel>
public DecisionTreeClassificationModel copy(ParamMap extra)
Params
copy
in interface Params
copy
in class Model<DecisionTreeClassificationModel>
extra
- (undocumented)defaultCopy()
public String toString()
toString
in interface Identifiable
toString
in class Object
public StructType validateAndTransformSchema(StructType schema, boolean fitting, DataType featuresDataType)
public Param<String> rawPredictionCol()
public String getRawPredictionCol()
public StructType validateAndTransformSchema(StructType schema, boolean fitting, DataType featuresDataType)
schema
- input schemafitting
- whether this is in fittingfeaturesDataType
- SQL DataType for FeaturesType.
E.g., VectorUDT
for vector features.public Param<String> labelCol()
public String getLabelCol()
public Param<String> featuresCol()
public String getFeaturesCol()
public Param<String> predictionCol()
public String getPredictionCol()