public class StringIndexerModel extends Model<StringIndexerModel> implements MLWritable
StringIndexer.
NOTE: During transformation, if the input column does not exist,
StringIndexerModel.transform would return the input dataset unmodified.
This is a temporary fix for the case when target labels do not exist during prediction.
param: labels Ordered list of labels, corresponding to indices to be assigned.
| 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.
|
static void |
validateParams() |
org.apache.spark.ml.feature.StringIndexerModel.StringIndexModelWriter |
write()
Returns an
MLWriter instance for this ML instance. |
transform, transform, transformequals, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitclear, copyValues, defaultCopy, defaultParamMap, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, paramMap, params, set, set, set, setDefault, setDefault, shouldOwn, validateParamstoStringsavepublic 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 void validateParams()
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.IOExceptionpublic String uid()
Identifiableuid in interface Identifiablepublic String[] labels()
public StringIndexerModel setHandleInvalid(String value)
public StringIndexerModel setInputCol(String value)
public StringIndexerModel setOutputCol(String value)
public Dataset<Row> transform(Dataset<?> dataset)
Transformertransform in class Transformerdataset - (undocumented)public StructType transformSchema(StructType schema)
PipelineStageCheck transform validity and derive the output schema from the input schema.
Typical implementation should first conduct verification on schema change and parameter validity, including complex parameter interaction checks.
transformSchema in class PipelineStageschema - (undocumented)public StringIndexerModel copy(ParamMap extra)
ParamsdefaultCopy().copy in interface Paramscopy in class Model<StringIndexerModel>extra - (undocumented)public org.apache.spark.ml.feature.StringIndexerModel.StringIndexModelWriter write()
MLWritableMLWriter instance for this ML instance.write in interface MLWritablepublic 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()