public class StringIndexerModel extends Model<StringIndexerModel> implements MLWritable
StringIndexer
.
param: labels Ordered list of labels, corresponding to indices to be assigned.
StringIndexerModel.transform
would return the input dataset unmodified.
This is a temporary fix for the case when target labels do not exist during prediction.Constructor and Description |
---|
StringIndexerModel(String[] labels) |
StringIndexerModel(String uid,
String[] labels) |
Modifier and Type | Method and Description |
---|---|
static Params |
clear(Param<?> param) |
StringIndexerModel |
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 <T> scala.Option<T> |
get(Param<T> param) |
static <T> scala.Option<T> |
getDefault(Param<T> param) |
static String |
getHandleInvalid() |
String |
getHandleInvalid() |
static String |
getInputCol() |
String |
getInputCol() |
static <T> T |
getOrDefault(Param<T> param) |
static String |
getOutputCol() |
String |
getOutputCol() |
static Param<Object> |
getParam(String paramName) |
static Param<String> |
handleInvalid() |
Param<String> |
handleInvalid()
Param for how to handle invalid entries.
|
static <T> boolean |
hasDefault(Param<T> param) |
static boolean |
hasParam(String paramName) |
static boolean |
hasParent() |
static Param<String> |
inputCol() |
Param<String> |
inputCol()
Param for input column name.
|
static boolean |
isDefined(Param<?> param) |
static boolean |
isSet(Param<?> param) |
String[] |
labels() |
static StringIndexerModel |
load(String path) |
static Param<String> |
outputCol() |
Param<String> |
outputCol()
Param for output column name.
|
static Param<?>[] |
params() |
static void |
parent_$eq(Estimator<M> x$1) |
static Estimator<M> |
parent() |
static MLReader<StringIndexerModel> |
read() |
static void |
save(String path) |
static <T> Params |
set(Param<T> param,
T value) |
StringIndexerModel |
setHandleInvalid(String value) |
StringIndexerModel |
setInputCol(String value) |
StringIndexerModel |
setOutputCol(String value) |
static M |
setParent(Estimator<M> parent) |
static 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.
|
StructType |
validateAndTransformSchema(StructType schema)
Validates and transforms the input schema.
|
org.apache.spark.ml.feature.StringIndexerModel.StringIndexModelWriter |
write()
Returns an
MLWriter instance for this ML instance. |
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
public StringIndexerModel(String uid, String[] labels)
public StringIndexerModel(String[] labels)
public static MLReader<StringIndexerModel> read()
public static StringIndexerModel 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 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> inputCol()
public static final String getInputCol()
public static final Param<String> outputCol()
public static final String getOutputCol()
public static final Param<String> handleInvalid()
public static final String getHandleInvalid()
public static void save(String path) throws java.io.IOException
java.io.IOException
public String uid()
Identifiable
uid
in interface Identifiable
public String[] labels()
public StringIndexerModel setHandleInvalid(String value)
public StringIndexerModel setInputCol(String value)
public StringIndexerModel setOutputCol(String value)
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 StringIndexerModel copy(ParamMap extra)
Params
defaultCopy()
.copy
in interface Params
copy
in class Model<StringIndexerModel>
extra
- (undocumented)public org.apache.spark.ml.feature.StringIndexerModel.StringIndexModelWriter write()
MLWritable
MLWriter
instance for this ML instance.write
in interface MLWritable
public StructType validateAndTransformSchema(StructType schema)
public Param<String> inputCol()
public String getInputCol()
public Param<String> outputCol()
public String getOutputCol()
public Param<String> handleInvalid()
public String getHandleInvalid()