MultilabelModel

Type Members

case class LabelsAndInfo[K](indices: IndexedSeq[Int], labels: IndexedSeq[K], labelsNotInTrainingSet: Seq[K], problems: Option[GenAggFuncAccessorProblems]) extends Product with Serializable

Contains information about the labels to be used for predictions, and problems encountered while trying to get those labels.
Contains information about the labels to be used for predictions, and problems encountered while trying to get those labels.
K
type of label or class
indices
indices into the sequence of all labels seen during training. These should be sorted in ascending order.
labels
labels for which a prediction should be produced. labels are parallel to indices so indices(i) is the index associated with labels(i).
labelsNotInTrainingSet
a sequence of labels derived from the input data that could not be found in the sequence of all labels seen during training.
problems
any problems encountered when trying to get the labels. This should only be present when the caller indicates labels should be embedded in the input data passed to the prediction function in the MultilabelModel.

Attributes
protected[com.eharmony.aloha.models.multilabel]

Value Members

final def !=(arg0: Any): Boolean

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

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

Definition Classes
AnyRef → Any
object Parser extends ModelSubmodelParsingPlugin with Logging
final def asInstanceOf[T0]: T0

Definition Classes
Any
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
def combineMissing[K](labelInfo: LabelsAndInfo[K], missing: Map[String, Seq[String]]): Set[String]

Combine the missing variables found into a set.
Combine the missing variables found into a set.
K
type of label or class
labelInfo
labels and information about the labels.
missing
missing features from
returns
a set of missing features

Attributes
protected[com.eharmony.aloha.models.multilabel]
final def eq(arg0: AnyRef): Boolean

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

Definition Classes
AnyRef → Any
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
def hashCode(): Int

Definition Classes
AnyRef → Any
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
def labelsAndInfo[A, K](a: A, labelsOfInterest: Option[GenAggFunc[A, IndexedSeq[K]]], labelToInd: Map[K, Int], defaultLabelInfo: LabelsAndInfo[K]): LabelsAndInfo[K]

Get the labels and information about the labels.
Get the labels and information about the labels.
A
input type of the model
K
type of label or class
a
an input from which label information should be derived if labelsOfInterest is not empty.
labelsOfInterest
an optional function used to extract label information from the input a.
labelToInd
a mapping from label to index into the sequence of all labels seen during training.
defaultLabelInfo
label information related to all labels seen at training time. If labelsOfInterest is not provided, this information will be used.
returns
labels and information about the labels.

Attributes
protected[com.eharmony.aloha.models.multilabel]
def labelsForPrediction[A, K](example: A, labelsOfInterest: GenAggFunc[A, IndexedSeq[K]], labelToInd: Map[K, Int]): LabelsAndInfo[K]

Get labels from the input for which a prediction should be produced.
Get labels from the input for which a prediction should be produced. If labelsOfInterest produces a label not in the training set, it will not be present in the prediction output but it will appear in LabelsAndInfo.labelsNotInTrainingSet.
A
input type of the model
K
type of label or class
example
the example provided to the model
labelsOfInterest
a function used to extract labels for which a prediction should be produced.
labelToInd
mapping from Label to index into the sequence of all labels seen in the training set.
returns
labels and information about the labels.

Attributes
protected[com.eharmony.aloha.models.multilabel]
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
def parser: ModelParser

Definition Classes
MultilabelModel → ParserProviderCompanion
def reportNoPrediction[U, K, B <: U](modelId: ModelIdentity, labelInfo: LabelsAndInfo[K], auditor: Auditor[U, Map[K, Double], B]): Subvalue[B, Nothing]

Report that no prediction attempt was made because of issues with the labels.
Report that no prediction attempt was made because of issues with the labels.
U
upper bound on model output type B
K
type of label or class
B
output type of the model.
modelId
An identifier for the model. Used in error reporting.
labelInfo
labels and information about the labels.
auditor
an auditor used to audit the output.
returns
a SubValue indicating failure.

Attributes
protected[com.eharmony.aloha.models.multilabel]
def reportPredictorError[U, K, B <: U](modelId: ModelIdentity, labelInfo: LabelsAndInfo[K], missingFeatureMap: Map[String, Seq[String]], throwable: Throwable, auditor: Auditor[U, Map[K, Double], B]): Subvalue[B, Nothing]

Report that a Throwable was thrown while invoking the predictor
Report that a Throwable was thrown while invoking the predictor
U
upper bound on model output type B
K
type of label or class
B
output type of the model.
modelId
An identifier for the model. Used in error reporting.
labelInfo
labels and information about the labels.
missingFeatureMap
missing features from RegressionFeatures
throwable
the error the occurred in the predictor.
auditor
an auditor used to audit the output.
returns
a SubValue indicating failure.

Attributes
protected[com.eharmony.aloha.models.multilabel]
def reportSuccess[U, K, B <: U](modelId: ModelIdentity, labelInfo: LabelsAndInfo[K], missing: Map[String, Seq[String]], prediction: Map[K, Double], auditor: Auditor[U, Map[K, Double], B]): Subvalue[B, Map[K, Double]]

Report that the model succeeded.
Report that the model succeeded.
U
upper bound on model output type B
K
type of label or class
B
output type of the model.
modelId
An identifier for the model. Used in score reporting.
labelInfo
labels and information about the labels.
missing
missing features from
prediction
the prediction(s) made by the embedded predictor.
auditor
an auditor used to audit the output.
returns
a SubValue indicating success.

Attributes
protected[com.eharmony.aloha.models.multilabel]
def reportTooManyMissing[U, K, B <: U](modelId: ModelIdentity, labelInfo: LabelsAndInfo[K], missing: Map[String, Seq[String]], auditor: Auditor[U, Map[K, Double], B]): Subvalue[B, Nothing]

Report that a prediction could not be made because too many missing features were encountered.
Report that a prediction could not be made because too many missing features were encountered.
U
upper bound on model output type B
K
type of label or class
B
output type of the model.
modelId
An identifier for the model. Used in error reporting.
labelInfo
labels and information about the labels.
missing
missing features from
auditor
an auditor used to audit the output.
returns
a SubValue indicating failure.

Attributes
protected[com.eharmony.aloha.models.multilabel]
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
AnyRef → Any
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( ... )

Related Docs: class MultilabelModel | package multilabel

object MultilabelModel extends ParserProviderCompanion with Serializable

Type Members

case class LabelsAndInfo[K](indices: IndexedSeq[Int], labels: IndexedSeq[K], labelsNotInTrainingSet: Seq[K], problems: Option[GenAggFuncAccessorProblems]) extends Product with Serializable

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

object Parser extends ModelSubmodelParsingPlugin with Logging

final def asInstanceOf[T0]: T0

def clone(): AnyRef

def combineMissing[K](labelInfo: LabelsAndInfo[K], missing: Map[String, Seq[String]]): Set[String]

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

def labelsAndInfo[A, K](a: A, labelsOfInterest: Option[GenAggFunc[A, IndexedSeq[K]]], labelToInd: Map[K, Int], defaultLabelInfo: LabelsAndInfo[K]): LabelsAndInfo[K]

def labelsForPrediction[A, K](example: A, labelsOfInterest: GenAggFunc[A, IndexedSeq[K]], labelToInd: Map[K, Int]): LabelsAndInfo[K]

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def parser: ModelParser

def reportNoPrediction[U, K, B <: U](modelId: ModelIdentity, labelInfo: LabelsAndInfo[K], auditor: Auditor[U, Map[K, Double], B]): Subvalue[B, Nothing]

def reportPredictorError[U, K, B <: U](modelId: ModelIdentity, labelInfo: LabelsAndInfo[K], missingFeatureMap: Map[String, Seq[String]], throwable: Throwable, auditor: Auditor[U, Map[K, Double], B]): Subvalue[B, Nothing]

def reportSuccess[U, K, B <: U](modelId: ModelIdentity, labelInfo: LabelsAndInfo[K], missing: Map[String, Seq[String]], prediction: Map[K, Double], auditor: Auditor[U, Map[K, Double], B]): Subvalue[B, Map[K, Double]]

def reportTooManyMissing[U, K, B <: U](modelId: ModelIdentity, labelInfo: LabelsAndInfo[K], missing: Map[String, Seq[String]], auditor: Auditor[U, Map[K, Double], B]): Subvalue[B, Nothing]

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

def toString(): String

final def wait(): Unit

final def wait(arg0: Long, arg1: Int): Unit

final def wait(arg0: Long): Unit

Inherited from Serializable

Inherited from Serializable

Inherited from ParserProviderCompanion

Inherited from AnyRef

Inherited from Any

Ungrouped