class ConditionalKNNModel extends Model[ConditionalKNNModel] with ComplexParamsWritable with ConditionalKNNParams with SynapseMLLogging
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Inherited
- ConditionalKNNModel
- SynapseMLLogging
- ConditionalKNNParams
- HasLabelCol
- KNNParams
- HasOutputCol
- Wrappable
- DotnetWrappable
- RWrappable
- PythonWrappable
- BaseWrappable
- HasFeaturesCol
- ComplexParamsWritable
- MLWritable
- Model
- Transformer
- PipelineStage
- Logging
- Params
- Serializable
- Serializable
- Identifiable
- AnyRef
- Any
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Visibility
- Public
- All
Value Members
- val ballTree: ConditionalBallTreeParam
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final
def
clear(param: Param[_]): ConditionalKNNModel.this.type
- Definition Classes
- Params
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val
conditionerCol: Param[String]
- Definition Classes
- ConditionalKNNParams
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def
copy(extra: ParamMap): ConditionalKNNModel
- Definition Classes
- ConditionalKNNModel → Model → Transformer → PipelineStage → Params
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def
dotnetAdditionalMethods: String
- Definition Classes
- DotnetWrappable
-
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
-
val
featuresCol: Param[String]
The name of the features column
The name of the features column
- Definition Classes
- HasFeaturesCol
-
final
def
get[T](param: Param[T]): Option[T]
- Definition Classes
- Params
- def getBallTree: ConditionalBallTree[_, _]
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def
getConditionerCol: String
- Definition Classes
- ConditionalKNNParams
-
final
def
getDefault[T](param: Param[T]): Option[T]
- Definition Classes
- Params
-
def
getFeaturesCol: String
- Definition Classes
- HasFeaturesCol
-
def
getK: Int
- Definition Classes
- KNNParams
-
def
getLabelCol: String
- Definition Classes
- HasLabelCol
-
def
getLeafSize: Int
- Definition Classes
- KNNParams
-
final
def
getOrDefault[T](param: Param[T]): T
- Definition Classes
- Params
-
def
getOutputCol: String
- Definition Classes
- HasOutputCol
-
def
getParam(paramName: String): Param[Any]
- Definition Classes
- Params
-
def
getParamInfo(p: Param[_]): ParamInfo[_]
- Definition Classes
- BaseWrappable
-
def
getValuesCol: String
- Definition Classes
- KNNParams
-
final
def
hasDefault[T](param: Param[T]): Boolean
- Definition Classes
- Params
-
def
hasParam(paramName: String): Boolean
- Definition Classes
- Params
-
def
hasParent: Boolean
- Definition Classes
- Model
-
final
def
isDefined(param: Param[_]): Boolean
- Definition Classes
- Params
-
final
def
isSet(param: Param[_]): Boolean
- Definition Classes
- Params
-
val
k: IntParam
- Definition Classes
- KNNParams
-
val
labelCol: Param[String]
The name of the label column
The name of the label column
- Definition Classes
- HasLabelCol
-
val
leafSize: IntParam
- Definition Classes
- KNNParams
-
def
logClass(featureName: String): Unit
- Definition Classes
- SynapseMLLogging
-
def
logFit[T](f: ⇒ T, columns: Int): T
- Definition Classes
- SynapseMLLogging
-
def
logTransform[T](f: ⇒ T, columns: Int): T
- Definition Classes
- SynapseMLLogging
-
def
logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
- Definition Classes
- SynapseMLLogging
-
def
makeDotnetFile(conf: CodegenConfig): Unit
- Definition Classes
- DotnetWrappable
-
def
makePyFile(conf: CodegenConfig): Unit
- Definition Classes
- PythonWrappable
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def
makeRFile(conf: CodegenConfig): Unit
- Definition Classes
- RWrappable
-
val
outputCol: Param[String]
The name of the output column
The name of the output column
- Definition Classes
- HasOutputCol
-
lazy val
params: Array[Param[_]]
- Definition Classes
- Params
-
var
parent: Estimator[ConditionalKNNModel]
- Definition Classes
- Model
-
def
pyAdditionalMethods: String
- Definition Classes
- PythonWrappable
-
def
pyInitFunc(): String
- Definition Classes
- PythonWrappable
-
def
save(path: String): Unit
- Definition Classes
- MLWritable
- Annotations
- @Since( "1.6.0" ) @throws( ... )
-
final
def
set[T](param: Param[T], value: T): ConditionalKNNModel.this.type
- Definition Classes
- Params
- def setBallTree(v: ConditionalBallTree[_, _]): ConditionalKNNModel.this.type
-
def
setConditionerCol(v: String): ConditionalKNNModel.this.type
- Definition Classes
- ConditionalKNNParams
-
def
setFeaturesCol(value: String): ConditionalKNNModel.this.type
- Definition Classes
- HasFeaturesCol
-
def
setK(v: Int): ConditionalKNNModel.this.type
- Definition Classes
- KNNParams
-
def
setLabelCol(value: String): ConditionalKNNModel.this.type
- Definition Classes
- HasLabelCol
-
def
setLeafSize(v: Int): ConditionalKNNModel.this.type
- Definition Classes
- KNNParams
-
def
setOutputCol(value: String): ConditionalKNNModel.this.type
- Definition Classes
- HasOutputCol
-
def
setParent(parent: Estimator[ConditionalKNNModel]): ConditionalKNNModel
- Definition Classes
- Model
-
def
setValuesCol(v: String): ConditionalKNNModel.this.type
- Definition Classes
- KNNParams
-
def
toString(): String
- Definition Classes
- Identifiable → AnyRef → Any
-
def
transform(dataset: Dataset[_]): DataFrame
- Definition Classes
- ConditionalKNNModel → Transformer
-
def
transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
- Definition Classes
- Transformer
- Annotations
- @Since( "2.0.0" )
-
def
transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
- Definition Classes
- Transformer
- Annotations
- @Since( "2.0.0" ) @varargs()
-
def
transformSchema(schema: StructType): StructType
- Definition Classes
- ConditionalKNNModel → PipelineStage
-
val
uid: String
- Definition Classes
- ConditionalKNNModel → SynapseMLLogging → Identifiable
-
val
valuesCol: Param[String]
- Definition Classes
- KNNParams
-
def
write: MLWriter
- Definition Classes
- ComplexParamsWritable → MLWritable