RegexTokenizer

Instance Constructors

new RegexTokenizer()
new RegexTokenizer(uid: String)

Value Members

final def !=(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def !=(arg0: Any): Boolean

Definition Classes
Any
final def ##(): Int

Definition Classes
AnyRef → Any
final def $[T](param: Param[T]): T

An alias for getOrDefault().
An alias for getOrDefault().

Attributes
protected
Definition Classes
Params
final def ==(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def ==(arg0: Any): Boolean

Definition Classes
Any
final def asInstanceOf[T0]: T0

Definition Classes
Any
final def clear(param: Param[_]): RegexTokenizer.this.type

Clears the user-supplied value for the input param.
Clears the user-supplied value for the input param.

Attributes
protected
Definition Classes
Params
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
def copy(extra: ParamMap): Transformer

Creates a copy of this instance with the same UID and some extra params.
Creates a copy of this instance with the same UID and some extra params. The default implementation tries to create a new instance with the same UID. Then it copies the embedded and extra parameters over and returns the new instance. Subclasses should override this method if the default approach is not sufficient.

Definition Classes
Transformer → PipelineStage → Params
def copyValues[T <: Params](to: T, extra: ParamMap = ParamMap.empty): T

Copies param values from this instance to another instance for params shared by them.
Copies param values from this instance to another instance for params shared by them.
to
the target instance
extra
extra params to be copied
returns
the target instance with param values copied

Attributes
protected
Definition Classes
Params
def createTransformFunc: (String) ⇒ Seq[String]

Creates the transform function using the given param map.
Creates the transform function using the given param map. The input param map already takes account of the embedded param map. So the param values should be determined solely by the input param map.

Attributes
protected
Definition Classes
RegexTokenizer → UnaryTransformer
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def equals(arg0: Any): Boolean

Definition Classes
AnyRef → Any
def explainParam(param: Param[_]): String

Explains a param.
Explains a param.
param
input param, must belong to this instance.
returns
a string that contains the input param name, doc, and optionally its default value and the user-supplied value

Definition Classes
Params
def explainParams(): String

Explains all params of this instance.
Explains all params of this instance.

Definition Classes
Params
See also
explainParam()
final def extractParamMap(): ParamMap

extractParamMap with no extra values.
extractParamMap with no extra values.

Definition Classes
Params
final def extractParamMap(extra: ParamMap): ParamMap

Extracts the embedded default param values and user-supplied values, and then merges them with extra values from input into a flat param map, where the latter value is used if there exist conflicts, i.
Extracts the embedded default param values and user-supplied values, and then merges them with extra values from input into a flat param map, where the latter value is used if there exist conflicts, i.e., with ordering: default param values < user-supplied values < extra.

Definition Classes
Params
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
val gaps: BooleanParam

Indicates whether regex splits on gaps (true) or matches tokens (false).
Indicates whether regex splits on gaps (true) or matches tokens (false). Default: true
final def get[T](param: Param[T]): Option[T]

Optionally returns the user-supplied value of a param.
Optionally returns the user-supplied value of a param.

Definition Classes
Params
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
final def getDefault[T](param: Param[T]): Option[T]

Gets the default value of a parameter.
Gets the default value of a parameter.

Definition Classes
Params
def getGaps: Boolean
final def getInputCol: String

Definition Classes
HasInputCol
def getMinTokenLength: Int
final def getOrDefault[T](param: Param[T]): T

Gets the value of a param in the embedded param map or its default value.
Gets the value of a param in the embedded param map or its default value. Throws an exception if neither is set.

Definition Classes
Params
final def getOutputCol: String

Definition Classes
HasOutputCol
def getParam(paramName: String): Param[Any]

Gets a param by its name.
Gets a param by its name.

Definition Classes
Params
def getPattern: String
final def hasDefault[T](param: Param[T]): Boolean

Tests whether the input param has a default value set.
Tests whether the input param has a default value set.

Definition Classes
Params
def hasParam(paramName: String): Boolean

Tests whether this instance contains a param with a given name.
Tests whether this instance contains a param with a given name.

Definition Classes
Params
def hashCode(): Int

Definition Classes
AnyRef → Any
final val inputCol: Param[String]

Param for input column name.
Param for input column name.

Definition Classes
HasInputCol
final def isDefined(param: Param[_]): Boolean

Checks whether a param is explicitly set or has a default value.
Checks whether a param is explicitly set or has a default value.

Definition Classes
Params
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
final def isSet(param: Param[_]): Boolean

Checks whether a param is explicitly set.
Checks whether a param is explicitly set.

Definition Classes
Params
def isTraceEnabled(): Boolean

Attributes
protected
Definition Classes
Logging
def log: Logger

Attributes
protected
Definition Classes
Logging
def logDebug(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logDebug(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
def logError(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logError(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
def logInfo(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logInfo(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
def logName: String

Attributes
protected
Definition Classes
Logging
def logTrace(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logTrace(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
def logWarning(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logWarning(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
val minTokenLength: IntParam

Minimum token length, >= 0.
Minimum token length, >= 0. Default: 1, to avoid returning empty strings
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
final val outputCol: Param[String]

Param for output column name.
Param for output column name.

Definition Classes
HasOutputCol
def outputDataType: DataType

Returns the data type of the output column.
Returns the data type of the output column.

Attributes
protected
Definition Classes
RegexTokenizer → UnaryTransformer
lazy val params: Array[Param[_]]

Returns all params sorted by their names.
Returns all params sorted by their names. The default implementation uses Java reflection to list all public methods that have no arguments and return Param.
Note: Developer should not use this method in constructor because we cannot guarantee that this variable gets initialized before other params.

Definition Classes
Params
val pattern: Param[String]

Regex pattern used to match delimiters if gaps is true or tokens if gaps is false.
Regex pattern used to match delimiters if gaps is true or tokens if gaps is false. Default: "\\s+"
final def set(paramPair: ParamPair[_]): RegexTokenizer.this.type

Sets a parameter in the embedded param map.
Sets a parameter in the embedded param map.

Attributes
protected
Definition Classes
Params
final def set(param: String, value: Any): RegexTokenizer.this.type

Sets a parameter (by name) in the embedded param map.
Sets a parameter (by name) in the embedded param map.

Attributes
protected
Definition Classes
Params
final def set[T](param: Param[T], value: T): RegexTokenizer.this.type

Sets a parameter in the embedded param map.
Sets a parameter in the embedded param map.

Attributes
protected
Definition Classes
Params
final def setDefault(paramPairs: ParamPair[_]*): RegexTokenizer.this.type

Sets default values for a list of params.
Sets default values for a list of params.
paramPairs
a list of param pairs that specify params and their default values to set respectively. Make sure that the params are initialized before this method gets called.

Attributes
protected
Definition Classes
Params
Annotations
@varargs()
final def setDefault[T](param: Param[T], value: T): RegexTokenizer.this.type

Sets a default value for a param.
Sets a default value for a param.
param
param to set the default value. Make sure that this param is initialized before this method gets called.
value
the default value

Attributes
protected
Definition Classes
Params
def setGaps(value: Boolean): RegexTokenizer.this.type
def setInputCol(value: String): RegexTokenizer

Definition Classes
UnaryTransformer
def setMinTokenLength(value: Int): RegexTokenizer.this.type
def setOutputCol(value: String): RegexTokenizer

Definition Classes
UnaryTransformer
def setPattern(value: String): RegexTokenizer.this.type
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
Identifiable → AnyRef → Any
def transform(dataset: DataFrame): DataFrame

Transforms the input dataset.
Transforms the input dataset.

Definition Classes
UnaryTransformer → Transformer
def transform(dataset: DataFrame, paramMap: ParamMap): DataFrame

Transforms the dataset with provided parameter map as additional parameters.
Transforms the dataset with provided parameter map as additional parameters.
dataset
input dataset
paramMap
additional parameters, overwrite embedded params
returns
transformed dataset

Definition Classes
Transformer
def transform(dataset: DataFrame, firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame

Transforms the dataset with optional parameters
Transforms the dataset with optional parameters
dataset
input dataset
firstParamPair
the first param pair, overwrite embedded params
otherParamPairs
other param pairs, overwrite embedded params
returns
transformed dataset

Definition Classes
Transformer
Annotations
@varargs()
def transformSchema(schema: StructType): StructType

:: DeveloperApi ::
:: DeveloperApi ::
Derives the output schema from the input schema.

Definition Classes
UnaryTransformer → PipelineStage
def transformSchema(schema: StructType, logging: Boolean): StructType

:: DeveloperApi ::
:: DeveloperApi ::
Derives the output schema from the input schema and parameters, optionally with logging.
This should be optimistic. If it is unclear whether the schema will be valid, then it should be assumed valid until proven otherwise.

Attributes
protected
Definition Classes
PipelineStage
Annotations
@DeveloperApi()
val uid: String

An immutable unique ID for the object and its derivatives.
An immutable unique ID for the object and its derivatives.

Definition Classes
RegexTokenizer → Identifiable
def validateInputType(inputType: DataType): Unit

Validates the input type.
Validates the input type. Throw an exception if it is invalid.

Attributes
protected
Definition Classes
RegexTokenizer → UnaryTransformer
def validateParams(): Unit

Validates parameter values stored internally.
Validates parameter values stored internally. Raise an exception if any parameter value is invalid.
This only needs to check for interactions between parameters. Parameter value checks which do not depend on other parameters are handled by Param.validate(). This method does not handle input/output column parameters; those are checked during schema validation.

Definition Classes
Params
final def wait(): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long, arg1: Int): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )

Inherited from UnaryTransformer[String, Seq[String], RegexTokenizer]

Inherited from HasOutputCol

Inherited from HasInputCol

Inherited from Transformer

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Parameters

A list of (hyper-)parameter keys this algorithm can take. Users can set and get the parameter values through setters and getters, respectively.

Members

Parameter setters

Parameter getters

class RegexTokenizer extends UnaryTransformer[String, Seq[String], RegexTokenizer]

Instance Constructors

new RegexTokenizer()

new RegexTokenizer(uid: String)

Value Members

final def !=(arg0: AnyRef): Boolean

final def !=(arg0: Any): Boolean

final def ##(): Int

final def $[T](param: Param[T]): T

final def ==(arg0: AnyRef): Boolean

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

final def clear(param: Param[_]): RegexTokenizer.this.type

def clone(): AnyRef

def copy(extra: ParamMap): Transformer

def copyValues[T <: Params](to: T, extra: ParamMap = ParamMap.empty): T

def createTransformFunc: (String) ⇒ Seq[String]

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def explainParam(param: Param[_]): String

def explainParams(): String

final def extractParamMap(): ParamMap

final def extractParamMap(extra: ParamMap): ParamMap

def finalize(): Unit

val gaps: BooleanParam

final def get[T](param: Param[T]): Option[T]

final def getClass(): Class[_]

final def getDefault[T](param: Param[T]): Option[T]

def getGaps: Boolean

final def getInputCol: String

def getMinTokenLength: Int

final def getOrDefault[T](param: Param[T]): T

final def getOutputCol: String

def getParam(paramName: String): Param[Any]

def getPattern: String

final def hasDefault[T](param: Param[T]): Boolean

def hasParam(paramName: String): Boolean

def hashCode(): Int

final val inputCol: Param[String]

final def isDefined(param: Param[_]): Boolean

final def isInstanceOf[T0]: Boolean

final def isSet(param: Param[_]): Boolean

def isTraceEnabled(): Boolean

def log: Logger

def logDebug(msg: ⇒ String, throwable: Throwable): Unit

def logDebug(msg: ⇒ String): Unit

def logError(msg: ⇒ String, throwable: Throwable): Unit

def logError(msg: ⇒ String): Unit

def logInfo(msg: ⇒ String, throwable: Throwable): Unit

def logInfo(msg: ⇒ String): Unit

def logName: String

def logTrace(msg: ⇒ String, throwable: Throwable): Unit

def logTrace(msg: ⇒ String): Unit

def logWarning(msg: ⇒ String, throwable: Throwable): Unit

def logWarning(msg: ⇒ String): Unit

val minTokenLength: IntParam

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

final val outputCol: Param[String]

def outputDataType: DataType

lazy val params: Array[Param[_]]

val pattern: Param[String]

final def set(paramPair: ParamPair[_]): RegexTokenizer.this.type

final def set(param: String, value: Any): RegexTokenizer.this.type

final def set[T](param: Param[T], value: T): RegexTokenizer.this.type

final def setDefault(paramPairs: ParamPair[_]*): RegexTokenizer.this.type

final def setDefault[T](param: Param[T], value: T): RegexTokenizer.this.type

def setGaps(value: Boolean): RegexTokenizer.this.type

def setInputCol(value: String): RegexTokenizer

def setMinTokenLength(value: Int): RegexTokenizer.this.type

def setOutputCol(value: String): RegexTokenizer

def setPattern(value: String): RegexTokenizer.this.type

final def synchronized[T0](arg0: ⇒ T0): T0

def toString(): String

def transform(dataset: DataFrame): DataFrame

def transform(dataset: DataFrame, paramMap: ParamMap): DataFrame

def transform(dataset: DataFrame, firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame

def transformSchema(schema: StructType): StructType