public class LinearSVCModel extends ClassificationModel<Vector,LinearSVCModel> implements MLWritable
LinearSVC
Modifier and Type | Method and Description |
---|---|
static IntParam |
aggregationDepth() |
static Params |
clear(Param<?> param) |
Vector |
coefficients() |
LinearSVCModel |
copy(ParamMap extra)
Creates a copy of this instance with the same UID and some extra params.
|
static String |
explainParam(Param<?> param) |
static String |
explainParams() |
static ParamMap |
extractParamMap() |
static ParamMap |
extractParamMap(ParamMap extra) |
static Param<String> |
featuresCol() |
Param<String> |
featuresCol()
Param for features column name.
|
static BooleanParam |
fitIntercept() |
static <T> scala.Option<T> |
get(Param<T> param) |
static int |
getAggregationDepth() |
static <T> scala.Option<T> |
getDefault(Param<T> param) |
static String |
getFeaturesCol() |
String |
getFeaturesCol() |
static boolean |
getFitIntercept() |
static String |
getLabelCol() |
String |
getLabelCol() |
static int |
getMaxIter() |
static <T> T |
getOrDefault(Param<T> param) |
static Param<Object> |
getParam(String paramName) |
static String |
getPredictionCol() |
String |
getPredictionCol() |
static String |
getRawPredictionCol() |
String |
getRawPredictionCol() |
static double |
getRegParam() |
static boolean |
getStandardization() |
static double |
getThreshold() |
double |
getThreshold() |
static double |
getTol() |
static String |
getWeightCol() |
static <T> boolean |
hasDefault(Param<T> param) |
static boolean |
hasParam(String paramName) |
static boolean |
hasParent() |
double |
intercept() |
static boolean |
isDefined(Param<?> param) |
static boolean |
isSet(Param<?> param) |
static Param<String> |
labelCol() |
Param<String> |
labelCol()
Param for label column name.
|
static LinearSVCModel |
load(String path) |
static IntParam |
maxIter() |
int |
numClasses()
Number of classes (values which the label can take).
|
int |
numFeatures()
Returns the number of features the model was trained on.
|
static Param<?>[] |
params() |
static void |
parent_$eq(Estimator<M> x$1) |
static Estimator<M> |
parent() |
static Param<String> |
predictionCol() |
Param<String> |
predictionCol()
Param for prediction column name.
|
static Param<String> |
rawPredictionCol() |
Param<String> |
rawPredictionCol()
Param for raw prediction (a.k.a.
|
static MLReader<LinearSVCModel> |
read() |
static DoubleParam |
regParam() |
static void |
save(String path) |
static <T> Params |
set(Param<T> param,
T value) |
static M |
setFeaturesCol(String value) |
static M |
setParent(Estimator<M> parent) |
static M |
setPredictionCol(String value) |
static M |
setRawPredictionCol(String value) |
LinearSVCModel |
setThreshold(double value) |
LinearSVCModel |
setWeightCol(double value) |
static BooleanParam |
standardization() |
static DoubleParam |
threshold() |
DoubleParam |
threshold()
Param for threshold in binary classification prediction.
|
static DoubleParam |
tol() |
static String |
toString() |
static Dataset<Row> |
transform(Dataset<?> dataset) |
static Dataset<Row> |
transform(Dataset<?> dataset,
ParamMap paramMap) |
static Dataset<Row> |
transform(Dataset<?> dataset,
ParamPair<?> firstParamPair,
ParamPair<?>... otherParamPairs) |
static Dataset<Row> |
transform(Dataset<?> dataset,
ParamPair<?> firstParamPair,
scala.collection.Seq<ParamPair<?>> otherParamPairs) |
static StructType |
transformSchema(StructType schema) |
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.
|
static Param<String> |
weightCol() |
MLWriter |
write()
Returns an
MLWriter instance for this ML instance. |
setRawPredictionCol, transform
setFeaturesCol, setPredictionCol, transformSchema
transform, transform, transform
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
clear, copyValues, defaultCopy, defaultParamMap, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, paramMap, params, set, set, set, setDefault, setDefault, shouldOwn
toString
save
initializeLogging, initializeLogIfNecessary, isTraceEnabled, log_, log, logDebug, logDebug, logError, logError, logInfo, logInfo, logName, logTrace, logTrace, logWarning, logWarning
public static MLReader<LinearSVCModel> read()
public static LinearSVCModel load(String path)
public static String toString()
public static Param<?>[] params()
public static String explainParam(Param<?> param)
public static String explainParams()
public static final boolean isSet(Param<?> param)
public static final boolean isDefined(Param<?> param)
public static boolean hasParam(String paramName)
public static Param<Object> getParam(String paramName)
public static final <T> scala.Option<T> get(Param<T> param)
public static final <T> T getOrDefault(Param<T> param)
public static final <T> scala.Option<T> getDefault(Param<T> param)
public static final <T> boolean hasDefault(Param<T> param)
public static final ParamMap extractParamMap()
public static Dataset<Row> transform(Dataset<?> dataset, ParamPair<?> firstParamPair, scala.collection.Seq<ParamPair<?>> otherParamPairs)
public static Dataset<Row> transform(Dataset<?> dataset, ParamPair<?> firstParamPair, ParamPair<?>... otherParamPairs)
public static Estimator<M> parent()
public static void parent_$eq(Estimator<M> x$1)
public static M setParent(Estimator<M> parent)
public static boolean hasParent()
public static final Param<String> labelCol()
public static final String getLabelCol()
public static final Param<String> featuresCol()
public static final String getFeaturesCol()
public static final Param<String> predictionCol()
public static final String getPredictionCol()
public static M setFeaturesCol(String value)
public static M setPredictionCol(String value)
public static StructType transformSchema(StructType schema)
public static final Param<String> rawPredictionCol()
public static final String getRawPredictionCol()
public static M setRawPredictionCol(String value)
public static final DoubleParam regParam()
public static final double getRegParam()
public static final IntParam maxIter()
public static final int getMaxIter()
public static final BooleanParam fitIntercept()
public static final boolean getFitIntercept()
public static final DoubleParam tol()
public static final double getTol()
public static final BooleanParam standardization()
public static final boolean getStandardization()
public static final Param<String> weightCol()
public static final String getWeightCol()
public static final IntParam aggregationDepth()
public static final int getAggregationDepth()
public static final DoubleParam threshold()
public static double getThreshold()
public static void save(String path) throws java.io.IOException
java.io.IOException
public String uid()
Identifiable
uid
in interface Identifiable
public Vector coefficients()
public double intercept()
public int numClasses()
ClassificationModel
numClasses
in class ClassificationModel<Vector,LinearSVCModel>
public int numFeatures()
PredictionModel
numFeatures
in class PredictionModel<Vector,LinearSVCModel>
public LinearSVCModel setThreshold(double value)
public LinearSVCModel setWeightCol(double value)
public LinearSVCModel copy(ParamMap extra)
Params
defaultCopy()
.copy
in interface Params
copy
in class Model<LinearSVCModel>
extra
- (undocumented)public MLWriter write()
MLWritable
MLWriter
instance for this ML instance.write
in interface MLWritable
public DoubleParam threshold()
public double getThreshold()
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()