public class VectorAttributeRewriter extends Transformer implements MLWritable
param: vectorCol name of the vector column to rewrite. param: prefixesToRewrite the map of string prefixes to their replacement values. Each attribute name defined in vectorCol will be checked against the keys of this map. When a key prefixes a name, the matching prefix will be replaced by the value in the map.
Constructor and Description |
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VectorAttributeRewriter(String vectorCol,
scala.collection.immutable.Map<String,String> prefixesToRewrite) |
VectorAttributeRewriter(String uid,
String vectorCol,
scala.collection.immutable.Map<String,String> prefixesToRewrite) |
Modifier and Type | Method and Description |
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static Params |
clear(Param<?> param) |
VectorAttributeRewriter |
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 <T> T |
getOrDefault(Param<T> param) |
static Param<Object> |
getParam(String paramName) |
static <T> boolean |
hasDefault(Param<T> param) |
static boolean |
hasParam(String paramName) |
static boolean |
isDefined(Param<?> param) |
static boolean |
isSet(Param<?> param) |
static VectorAttributeRewriter |
load(String path) |
static Param<?>[] |
params() |
scala.collection.immutable.Map<String,String> |
prefixesToRewrite() |
static MLReader<VectorAttributeRewriter> |
read() |
static void |
save(String path) |
static <T> Params |
set(Param<T> param,
T value) |
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.
|
String |
vectorCol() |
MLWriter |
write()
Returns an
MLWriter instance for this ML instance. |
transform, transform, transform
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
save
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
initializeLogging, initializeLogIfNecessary, initializeLogIfNecessary, isTraceEnabled, log_, log, logDebug, logDebug, logError, logError, logInfo, logInfo, logName, logTrace, logTrace, logWarning, logWarning
public VectorAttributeRewriter(String uid, String vectorCol, scala.collection.immutable.Map<String,String> prefixesToRewrite)
public VectorAttributeRewriter(String vectorCol, scala.collection.immutable.Map<String,String> prefixesToRewrite)
public static MLReader<VectorAttributeRewriter> read()
public static VectorAttributeRewriter 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 void save(String path) throws java.io.IOException
java.io.IOException
public String uid()
Identifiable
uid
in interface Identifiable
public String vectorCol()
public scala.collection.immutable.Map<String,String> prefixesToRewrite()
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 VectorAttributeRewriter copy(ParamMap extra)
Params
defaultCopy()
.copy
in interface Params
copy
in class Transformer
extra
- (undocumented)public MLWriter write()
MLWritable
MLWriter
instance for this ML instance.write
in interface MLWritable