AssertionLogRegApproach

Instance Constructors

new AssertionLogRegApproach()
new AssertionLogRegApproach(uid: String)

uid
a unique identifier for the instanced AssertionDLApproach

Type Members

type AnnotatorType = String

Definition Classes
HasOutputAnnotatorType
case class VectorizedChunk(vector: Vector, begin: Int, end: Int, sentenceId: Int, chunkId: Int) extends Product with Serializable

Attributes
protected
Definition Classes
Windowing

Value Members

final def !=(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def ##(): Int

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

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

Definition Classes
AnyRef → Any
def _fit(dataset: Dataset[_], recursiveStages: Option[PipelineModel]): AssertionLogRegModel

Attributes
protected
Definition Classes
AnnotatorApproach
lazy val after: Int

Definition Classes
AssertionLogRegApproach → Windowing
val afterParam: IntParam

Amount of tokens from the context after the target
def applyWindow(tokenizedSentence: WordpieceEmbeddingsSentence, s: Int, e: Int, embeddingsDim: Int): Array[Double]

Definition Classes
Windowing
def applyWindowContext(tokenizedSentence: WordpieceEmbeddingsSentence, s: Int, e: Int, embeddingsDim: Int): (Array[Array[Float]], Array[Array[Float]], Array[Array[Float]])

Definition Classes
Windowing
def applyWindowUdf(embeddingsDim: Int): UserDefinedFunction

Definition Classes
Windowing
def applyWindowUdfChunk(embeddingsDim: Int): UserDefinedFunction

Definition Classes
Windowing
final def asInstanceOf[T0]: T0

Definition Classes
Any
lazy val before: Int

Definition Classes
AssertionLogRegApproach → Windowing
val beforeParam: IntParam

Amount of tokens from the context before the target
def beforeTraining(spark: SparkSession): Unit

Definition Classes
AnnotatorApproach
final def checkSchema(schema: StructType, inputAnnotatorType: String): Boolean

Attributes
protected
Definition Classes
HasInputAnnotationCols
final def clear(param: Param[_]): AssertionLogRegApproach.this.type

Definition Classes
Params
def clone(): AnyRef

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

Definition Classes
AnnotatorApproach → Estimator → PipelineStage → Params
def copyValues[T <: Params](to: T, extra: ParamMap): T

Attributes
protected
Definition Classes
Params
final def defaultCopy[T <: Params](extra: ParamMap): T

Attributes
protected
Definition Classes
Params
val description: String

Definition Classes
AssertionLogRegApproach → AnnotatorApproach
val eNetParam: DoubleParam

Elastic net parameter
val endCol: Param[String]

Column that contains the token number for the end of the target
final def eq(arg0: AnyRef): Boolean

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

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

Definition Classes
Params
def explainParams(): String

Definition Classes
Params
final def extractParamMap(): ParamMap

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

Definition Classes
Params
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
final def fit(dataset: Dataset[_]): AssertionLogRegModel

Definition Classes
AnnotatorApproach → Estimator
def fit(dataset: Dataset[_], paramMaps: Array[ParamMap]): Seq[AssertionLogRegModel]

Definition Classes
Estimator
Annotations
@Since( "2.0.0" )
def fit(dataset: Dataset[_], paramMap: ParamMap): AssertionLogRegModel

Definition Classes
Estimator
Annotations
@Since( "2.0.0" )
def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): AssertionLogRegModel

Definition Classes
Estimator
Annotations
@Since( "2.0.0" ) @varargs()
final def get[T](param: Param[T]): Option[T]

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

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

Definition Classes
Params
def getInputCols: Array[String]

Definition Classes
HasInputAnnotationCols
def getLazyAnnotator: Boolean

Definition Classes
CanBeLazy
final def getOrDefault[T](param: Param[T]): T

Definition Classes
Params
final def getOutputCol: String

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

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

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

Definition Classes
Params
def hashCode(): Int

Definition Classes
AnyRef → Any
def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

Attributes
protected
Definition Classes
Logging
def initializeLogIfNecessary(isInterpreter: Boolean): Unit

Attributes
protected
Definition Classes
Logging
val inputAnnotatorTypes: Array[String]

Definition Classes
AssertionLogRegApproach → HasInputAnnotationCols
final val inputCols: StringArrayParam

Attributes
protected
Definition Classes
HasInputAnnotationCols
final def isDefined(param: Param[_]): Boolean

Definition Classes
Params
final def isInstanceOf[T0]: Boolean

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

Definition Classes
Params
def isTraceEnabled(): Boolean

Attributes
protected
Definition Classes
Logging
def l2norm(xs: Array[Double]): Double

Definition Classes
Windowing
val label: Param[String]

Column with one label per document
val lazyAnnotator: BooleanParam

Definition Classes
CanBeLazy
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 maxIter: IntParam

Max number of iterations for algorithm
def msgHelper(schema: StructType): String

Attributes
protected
Definition Classes
HasInputAnnotationCols
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def normalize(vec: Array[Double]): Array[Double]

Definition Classes
Windowing
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
def onTrained(model: AssertionLogRegModel, spark: SparkSession): Unit

Definition Classes
AnnotatorApproach
val outputAnnotatorType: AnnotatorType

Definition Classes
AssertionLogRegApproach → HasOutputAnnotatorType
final val outputCol: Param[String]

Attributes
protected
Definition Classes
HasOutputAnnotationCol
lazy val params: Array[Param[_]]

Definition Classes
Params
val regParam: DoubleParam

Regularization parameter
def save(path: String): Unit

Definition Classes
MLWritable
Annotations
@Since( "1.6.0" ) @throws( ... )
final def set(paramPair: ParamPair[_]): AssertionLogRegApproach.this.type

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

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

Definition Classes
Params
def setAfter(a: Int): AssertionLogRegApproach.this.type
def setBefore(b: Int): AssertionLogRegApproach.this.type
final def setDefault(paramPairs: ParamPair[_]*): AssertionLogRegApproach.this.type

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

Attributes
protected
Definition Classes
Params
def setEndCol(end: String): AssertionLogRegApproach.this.type
def setEnet(enet: Double): AssertionLogRegApproach.this.type
final def setInputCols(value: String*): AssertionLogRegApproach.this.type

Definition Classes
HasInputAnnotationCols
final def setInputCols(value: Array[String]): AssertionLogRegApproach.this.type

Definition Classes
HasInputAnnotationCols
def setLabelCol(label: String): AssertionLogRegApproach.this.type
def setLazyAnnotator(value: Boolean): AssertionLogRegApproach.this.type

Definition Classes
CanBeLazy
def setMaxIter(max: Int): AssertionLogRegApproach.this.type
final def setOutputCol(value: String): AssertionLogRegApproach.this.type

Definition Classes
HasOutputAnnotationCol
def setReg(lambda: Double): AssertionLogRegApproach.this.type
def setStartCol(start: String): AssertionLogRegApproach.this.type
val startCol: Param[String]

Column that contains the token number for the start of the target
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
Identifiable → AnyRef → Any
def tokenIndexToChunkIndex(doc: Array[TokenPieceEmbeddings], start: Int, end: Int): (Int, Int)

Definition Classes
Windowing
def train(dataset: Dataset[_], recursivePipeline: Option[PipelineModel] = None): AssertionLogRegModel

This is a main point of interest of this class.
This is a main point of interest of this class. It trains the dataset with recursive pipeline and uses methods trainWithChunk() and trainwithStartEnd() The choice of training happens based on the startCol value of the DL Approach
dataset
a collection of inputs to train
recursivePipeline
an instance of PipelineModel
returns
an instance of trained AssertionLogRegModel

Definition Classes
AssertionLogRegApproach → AnnotatorApproach
final def transformSchema(schema: StructType): StructType

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

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

a unique identifier for the instanced AssertionDLApproach
a unique identifier for the instanced AssertionDLApproach

Definition Classes
AssertionLogRegApproach → Identifiable
def validate(schema: StructType): Boolean

Attributes
protected
Definition Classes
AnnotatorApproach
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( ... )
def write: MLWriter

Definition Classes
DefaultParamsWritable → MLWritable

Related Docs: object AssertionLogRegApproach | package logreg

class AssertionLogRegApproach extends AnnotatorApproach[AssertionLogRegModel] with Windowing with Licensed

Instance Constructors

new AssertionLogRegApproach()

new AssertionLogRegApproach(uid: String)

Type Members

type AnnotatorType = String

case class VectorizedChunk(vector: Vector, begin: Int, end: Int, sentenceId: Int, chunkId: Int) extends Product with Serializable

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

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

final def ==(arg0: Any): Boolean

def _fit(dataset: Dataset[_], recursiveStages: Option[PipelineModel]): AssertionLogRegModel

lazy val after: Int

val afterParam: IntParam

def applyWindow(tokenizedSentence: WordpieceEmbeddingsSentence, s: Int, e: Int, embeddingsDim: Int): Array[Double]

def applyWindowContext(tokenizedSentence: WordpieceEmbeddingsSentence, s: Int, e: Int, embeddingsDim: Int): (Array[Array[Float]], Array[Array[Float]], Array[Array[Float]])

def applyWindowUdf(embeddingsDim: Int): UserDefinedFunction

def applyWindowUdfChunk(embeddingsDim: Int): UserDefinedFunction

final def asInstanceOf[T0]: T0

lazy val before: Int

val beforeParam: IntParam

def beforeTraining(spark: SparkSession): Unit

final def checkSchema(schema: StructType, inputAnnotatorType: String): Boolean

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

def clone(): AnyRef

final def copy(extra: ParamMap): Estimator[AssertionLogRegModel]

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

final def defaultCopy[T <: Params](extra: ParamMap): T

val description: String

val eNetParam: DoubleParam

val endCol: Param[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

final def fit(dataset: Dataset[_]): AssertionLogRegModel

def fit(dataset: Dataset[_], paramMaps: Array[ParamMap]): Seq[AssertionLogRegModel]

def fit(dataset: Dataset[_], paramMap: ParamMap): AssertionLogRegModel

def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): AssertionLogRegModel

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

final def getClass(): Class[_]

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

def getInputCols: Array[String]

def getLazyAnnotator: Boolean

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

final def getOutputCol: String

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

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

def hasParam(paramName: String): Boolean

def hashCode(): Int

def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

def initializeLogIfNecessary(isInterpreter: Boolean): Unit

val inputAnnotatorTypes: Array[String]

final val inputCols: StringArrayParam

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

final def isInstanceOf[T0]: Boolean

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

def isTraceEnabled(): Boolean

def l2norm(xs: Array[Double]): Double

val label: Param[String]

val lazyAnnotator: BooleanParam

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 maxIter: IntParam