abstract class Evaluator extends Params
Abstract class for evaluators that compute metrics from predictions.
- Annotations
- @Since("1.5.0")
- Source
- Evaluator.scala
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- Evaluator
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Instance Constructors
-  new Evaluator()
Abstract Value Members
-   abstract  def copy(extra: ParamMap): EvaluatorCreates a copy of this instance with the same UID and some extra params. 
-   abstract  def evaluate(dataset: Dataset[_]): DoubleEvaluates model output and returns a scalar metric. Evaluates model output and returns a scalar metric. The value of isLargerBetter specifies whether larger values are better. - dataset
- a dataset that contains labels/observations and predictions. 
- returns
- metric 
 - Annotations
- @Since("2.0.0")
 
-   abstract  val uid: StringAn immutable unique ID for the object and its derivatives. An immutable unique ID for the object and its derivatives. - Definition Classes
- Identifiable
 
Concrete Value Members
-   final  def !=(arg0: Any): Boolean- Definition Classes
- AnyRef → Any
 
-   final  def ##: Int- Definition Classes
- AnyRef → Any
 
-   final  def $[T](param: Param[T]): TAn alias for getOrDefault().An alias for getOrDefault().- Attributes
- protected
- Definition Classes
- Params
 
-   final  def ==(arg0: Any): Boolean- Definition Classes
- AnyRef → Any
 
-   final  def asInstanceOf[T0]: T0- Definition Classes
- Any
 
-   final  def clear(param: Param[_]): Evaluator.this.typeClears the user-supplied value for the input param. Clears the user-supplied value for the input param. - Definition Classes
- Params
 
-    def clone(): AnyRef- Attributes
- protected[lang]
- Definition Classes
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- Annotations
- @throws(classOf[java.lang.CloneNotSupportedException]) @IntrinsicCandidate() @native()
 
-    def copyValues[T <: Params](to: T, extra: ParamMap = ParamMap.empty): TCopies 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. This handles default Params and explicitly set Params separately. Default Params are copied from and to defaultParamMap, and explicitly set Params are copied from and toparamMap. Warning: This implicitly assumes that this Params instance and the target instance share the same set of default Params.- to
- the target instance, which should work with the same set of default Params as this source instance 
- extra
- extra params to be copied to the target's - paramMap
- returns
- the target instance with param values copied 
 - Attributes
- protected
- Definition Classes
- Params
 
-   final  def defaultCopy[T <: Params](extra: ParamMap): TDefault implementation of copy with extra params. Default implementation of copy with extra params. It tries to create a new instance with the same UID. Then it copies the embedded and extra parameters over and returns the new instance. - Attributes
- protected
- Definition Classes
- Params
 
-   final  def eq(arg0: AnyRef): Boolean- Definition Classes
- AnyRef
 
-    def equals(arg0: AnyRef): Boolean- Definition Classes
- AnyRef → Any
 
-    def evaluate(dataset: Dataset[_], paramMap: ParamMap): DoubleEvaluates model output and returns a scalar metric. Evaluates model output and returns a scalar metric. The value of isLargerBetter specifies whether larger values are better. - dataset
- a dataset that contains labels/observations and predictions. 
- paramMap
- parameter map that specifies the input columns and output metrics 
- returns
- metric 
 - Annotations
- @Since("2.0.0")
 
-    def explainParam(param: Param[_]): StringExplains 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(): StringExplains all params of this instance. Explains all params of this instance. See explainParam().- Definition Classes
- Params
 
-   final  def extractParamMap(): ParamMapextractParamMapwith no extra values.extractParamMapwith no extra values.- Definition Classes
- Params
 
-   final  def extractParamMap(extra: ParamMap): ParamMapExtracts 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 less than user-supplied values less than extra. 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 less than user-supplied values less than extra. - Definition Classes
- Params
 
-   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[_ <: AnyRef]- Definition Classes
- AnyRef → Any
- Annotations
- @IntrinsicCandidate() @native()
 
-   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
 
-   final  def getOrDefault[T](param: Param[T]): TGets 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
 
-    def getParam(paramName: String): Param[Any]Gets a param by its name. Gets a param by its name. - Definition Classes
- Params
 
-   final  def hasDefault[T](param: Param[T]): BooleanTests 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): BooleanTests 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
- Annotations
- @IntrinsicCandidate() @native()
 
-   final  def isDefined(param: Param[_]): BooleanChecks 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
 
-    def isLargerBetter: BooleanIndicates whether the metric returned by evaluateshould be maximized (true, default) or minimized (false).Indicates whether the metric returned by evaluateshould be maximized (true, default) or minimized (false). A given evaluator may support multiple metrics which may be maximized or minimized.- Annotations
- @Since("1.5.0")
 
-   final  def isSet(param: Param[_]): BooleanChecks whether a param is explicitly set. Checks whether a param is explicitly set. - Definition Classes
- Params
 
-   final  def ne(arg0: AnyRef): Boolean- Definition Classes
- AnyRef
 
-   final  def notify(): Unit- Definition Classes
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- Annotations
- @IntrinsicCandidate() @native()
 
-   final  def notifyAll(): Unit- Definition Classes
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- Annotations
- @IntrinsicCandidate() @native()
 
-    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. - Definition Classes
- Params
- Note
- Developer should not use this method in constructor because we cannot guarantee that this variable gets initialized before other params. 
 
-   final  def set(paramPair: ParamPair[_]): Evaluator.this.typeSets 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): Evaluator.this.typeSets 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): Evaluator.this.typeSets a parameter in the embedded param map. Sets a parameter in the embedded param map. - Definition Classes
- Params
 
-   final  def setDefault(paramPairs: ParamPair[_]*): Evaluator.this.typeSets default values for a list of params. Sets default values for a list of params. Note: Java developers should use the single-parameter setDefault. Annotating this with varargs can cause compilation failures due to a Scala compiler bug. See SPARK-9268.- 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
 
-   final  def setDefault[T](param: Param[T], value: T): Evaluator.this.typeSets a default value for a param. 
-   final  def synchronized[T0](arg0: => T0): T0- Definition Classes
- AnyRef
 
-    def toString(): String- Definition Classes
- Identifiable → AnyRef → Any
 
-   final  def wait(arg0: Long, arg1: Int): Unit- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException])
 
-   final  def wait(arg0: Long): Unit- Definition Classes
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- Annotations
- @throws(classOf[java.lang.InterruptedException]) @native()
 
-   final  def wait(): Unit- Definition Classes
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- Annotations
- @throws(classOf[java.lang.InterruptedException])
 
Deprecated Value Members
-    def finalize(): Unit- Attributes
- protected[lang]
- Definition Classes
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- Annotations
- @throws(classOf[java.lang.Throwable]) @Deprecated
- Deprecated
- (Since version 9)