Class/Object

org.apache.spark.ml.feature

OneHotEncoderModel

Related Docs: object OneHotEncoderModel | package feature

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class OneHotEncoderModel extends Model[OneHotEncoderModel] with OneHotEncoderBase with MLWritable

Annotations
@Since( "2.3.0" )
Source
OneHotEncoderEstimator.scala
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Inherited
  1. OneHotEncoderModel
  2. MLWritable
  3. OneHotEncoderBase
  4. HasOutputCols
  5. HasInputCols
  6. HasHandleInvalid
  7. Model
  8. Transformer
  9. PipelineStage
  10. Logging
  11. Params
  12. Serializable
  13. Serializable
  14. Identifiable
  15. AnyRef
  16. Any
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Visibility
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Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
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  2. final def ##(): Int

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

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    An alias for getOrDefault().

    An alias for getOrDefault().

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

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  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  6. val categorySizes: Array[Int]

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    Original number of categories for each feature being encoded.

    Original number of categories for each feature being encoded. The array contains one value for each input column, in order.

    Annotations
    @Since( "2.3.0" )
  7. final def clear(param: Param[_]): OneHotEncoderModel.this.type

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    Clears the user-supplied value for the input param.

    Clears the user-supplied value for the input param.

    Definition Classes
    Params
  8. def clone(): AnyRef

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

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    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. Subclasses should implement this method and set the return type properly. See defaultCopy().

    Definition Classes
    OneHotEncoderModelModelTransformerPipelineStageParams
    Annotations
    @Since( "2.3.0" )
  10. def copyValues[T <: Params](to: T, extra: ParamMap = ParamMap.empty): T

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    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.

    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 to paramMap. 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
  11. final def defaultCopy[T <: Params](extra: ParamMap): T

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    Default 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
  12. final val dropLast: BooleanParam

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    Whether to drop the last category in the encoded vector (default: true)

    Whether to drop the last category in the encoded vector (default: true)

    Definition Classes
    OneHotEncoderBase
    Annotations
    @Since( "2.3.0" )
  13. final def eq(arg0: AnyRef): Boolean

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  14. def equals(arg0: Any): Boolean

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

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    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
  16. def explainParams(): String

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    Explains all params of this instance.

    Explains all params of this instance. See explainParam().

    Definition Classes
    Params
  17. final def extractParamMap(): ParamMap

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    extractParamMap with no extra values.

    extractParamMap with no extra values.

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

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    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.

    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
  19. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  20. final def get[T](param: Param[T]): Option[T]

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    Optionally returns the user-supplied value of a param.

    Optionally returns the user-supplied value of a param.

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

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

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    Gets the default value of a parameter.

    Gets the default value of a parameter.

    Definition Classes
    Params
  23. def getDropLast: Boolean

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    Definition Classes
    OneHotEncoderBase
    Annotations
    @Since( "2.3.0" )
  24. final def getHandleInvalid: String

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    Definition Classes
    HasHandleInvalid
  25. final def getInputCols: Array[String]

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    Definition Classes
    HasInputCols
  26. final def getOrDefault[T](param: Param[T]): T

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    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
  27. final def getOutputCols: Array[String]

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    Definition Classes
    HasOutputCols
  28. def getParam(paramName: String): Param[Any]

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    Gets a param by its name.

    Gets a param by its name.

    Definition Classes
    Params
  29. val handleInvalid: Param[String]

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    Param for how to handle invalid data during transform().

    Param for how to handle invalid data during transform(). Options are 'keep' (invalid data presented as an extra categorical feature) or 'error' (throw an error). Note that this Param is only used during transform; during fitting, invalid data will result in an error. Default: "error"

    Definition Classes
    OneHotEncoderBase → HasHandleInvalid
    Annotations
    @Since( "2.3.0" )
  30. final def hasDefault[T](param: Param[T]): Boolean

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    Tests whether the input param has a default value set.

    Tests whether the input param has a default value set.

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

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    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
  32. def hasParent: Boolean

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    Indicates whether this Model has a corresponding parent.

    Indicates whether this Model has a corresponding parent.

    Definition Classes
    Model
  33. def hashCode(): Int

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  34. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean = false): Boolean

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

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    protected
    Definition Classes
    Logging
  36. final val inputCols: StringArrayParam

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    Param for input column names.

    Param for input column names.

    Definition Classes
    HasInputCols
  37. final def isDefined(param: Param[_]): Boolean

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    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
  38. final def isInstanceOf[T0]: Boolean

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

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    Checks whether a param is explicitly set.

    Checks whether a param is explicitly set.

    Definition Classes
    Params
  40. def isTraceEnabled(): Boolean

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    Definition Classes
    Logging
  41. def log: Logger

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

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    Logging
  43. def logDebug(msg: ⇒ String): Unit

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

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    Logging
  45. def logError(msg: ⇒ String): Unit

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

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    Logging
  47. def logInfo(msg: ⇒ String): Unit

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    Logging
  48. def logName: String

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

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    Logging
  50. def logTrace(msg: ⇒ String): Unit

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

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    Logging
  52. def logWarning(msg: ⇒ String): Unit

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    Logging
  53. final def ne(arg0: AnyRef): Boolean

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  54. final def notify(): Unit

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  55. final def notifyAll(): Unit

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    AnyRef
  56. final val outputCols: StringArrayParam

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    Param for output column names.

    Param for output column names.

    Definition Classes
    HasOutputCols
  57. lazy val params: Array[Param[_]]

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    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.

  58. var parent: Estimator[OneHotEncoderModel]

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    The parent estimator that produced this model.

    The parent estimator that produced this model.

    Definition Classes
    Model
    Note

    For ensembles' component Models, this value can be null.

  59. def save(path: String): Unit

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    Saves this ML instance to the input path, a shortcut of write.save(path).

    Saves this ML instance to the input path, a shortcut of write.save(path).

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

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    Sets a parameter in the embedded param map.

    Sets a parameter in the embedded param map.

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

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

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    Sets a parameter in the embedded param map.

    Sets a parameter in the embedded param map.

    Definition Classes
    Params
  63. final def setDefault(paramPairs: ParamPair[_]*): OneHotEncoderModel.this.type

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

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    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
  65. def setDropLast(value: Boolean): OneHotEncoderModel.this.type

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    Annotations
    @Since( "2.3.0" )
  66. def setHandleInvalid(value: String): OneHotEncoderModel.this.type

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    Annotations
    @Since( "2.3.0" )
  67. def setInputCols(values: Array[String]): OneHotEncoderModel.this.type

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    Annotations
    @Since( "2.3.0" )
  68. def setOutputCols(values: Array[String]): OneHotEncoderModel.this.type

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    Annotations
    @Since( "2.3.0" )
  69. def setParent(parent: Estimator[OneHotEncoderModel]): OneHotEncoderModel

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    Sets the parent of this model (Java API).

    Sets the parent of this model (Java API).

    Definition Classes
    Model
  70. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  71. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any
  72. def transform(dataset: Dataset[_]): DataFrame

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    Transforms the input dataset.

    Transforms the input dataset.

    Definition Classes
    OneHotEncoderModelTransformer
    Annotations
    @Since( "2.3.0" )
  73. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

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    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
    Annotations
    @Since( "2.0.0" )
  74. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame

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    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
    @Since( "2.0.0" ) @varargs()
  75. def transformSchema(schema: StructType): StructType

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    :: DeveloperApi ::

    :: DeveloperApi ::

    Check transform validity and derive the output schema from the input schema.

    We check validity for interactions between parameters during transformSchema and raise an exception if any parameter value is invalid. Parameter value checks which do not depend on other parameters are handled by Param.validate().

    Typical implementation should first conduct verification on schema change and parameter validity, including complex parameter interaction checks.

    Definition Classes
    OneHotEncoderModelPipelineStage
    Annotations
    @Since( "2.3.0" )
  76. def transformSchema(schema: StructType, logging: Boolean): StructType

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    :: 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.

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

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    An immutable unique ID for the object and its derivatives.

    An immutable unique ID for the object and its derivatives.

    Definition Classes
    OneHotEncoderModelIdentifiable
    Annotations
    @Since( "2.3.0" )
  78. def validateAndTransformSchema(schema: StructType, dropLast: Boolean, keepInvalid: Boolean): StructType

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    protected
    Definition Classes
    OneHotEncoderBase
  79. final def wait(): Unit

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    @throws( ... )
  80. final def wait(arg0: Long, arg1: Int): Unit

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    Annotations
    @throws( ... )
  81. final def wait(arg0: Long): Unit

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    AnyRef
    Annotations
    @throws( ... )
  82. def write: MLWriter

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    Returns an MLWriter instance for this ML instance.

    Returns an MLWriter instance for this ML instance.

    Definition Classes
    OneHotEncoderModelMLWritable
    Annotations
    @Since( "2.3.0" )

Inherited from MLWritable

Inherited from OneHotEncoderBase

Inherited from HasOutputCols

Inherited from HasInputCols

Inherited from HasHandleInvalid

Inherited from Model[OneHotEncoderModel]

Inherited from Transformer

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

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