# PolynomialExpansion

#### class PolynomialExpansion extends UnaryTransformer[Vector, Vector, PolynomialExpansion]

:: Experimental :: Perform feature expansion in a polynomial space. As said in wikipedia of Polynomial Expansion, which is available at http://en.wikipedia.org/wiki/Polynomial_expansion, "In mathematics, an expansion of a product of sums expresses it as a sum of products by using the fact that multiplication distributes over addition". Take a 2-variable feature vector as an example: `(x, y)`, if we want to expand it with degree 2, then we get `(x, x * x, y, x * y, y * y)`.

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()
Linear Supertypes
UnaryTransformer[Vector, Vector, PolynomialExpansion], HasOutputCol, HasInputCol, Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
1. PolynomialExpansion
2. UnaryTransformer
3. HasOutputCol
4. HasInputCol
5. Transformer
6. PipelineStage
7. Logging
8. Params
9. Serializable
10. Serializable
11. Identifiable
12. AnyRef
13. Any
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### Value Members

1. #### final def !=(arg0: AnyRef): Boolean

Definition Classes
AnyRef
2. #### final def !=(arg0: Any): Boolean

Definition Classes
Any
3. #### final def ##(): Int

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

An alias for getOrDefault().

An alias for getOrDefault().

Attributes
protected
Definition Classes
Params
5. #### final def ==(arg0: AnyRef): Boolean

Definition Classes
AnyRef
6. #### final def ==(arg0: Any): Boolean

Definition Classes
Any
7. #### final def asInstanceOf[T0]: T0

Definition Classes
Any
8. #### final def clear(param: Param[_]): PolynomialExpansion.this.type

Clears the user-supplied value for the input param.

Clears the user-supplied value for the input param.

Attributes
protected
Definition Classes
Params
9. #### def clone(): AnyRef

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

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. The default implementation tries to create a new instance with the same UID. Then it copies the embedded and extra parameters over and returns the new instance. Subclasses should override this method if the default approach is not sufficient.

Definition Classes
TransformerPipelineStageParams
11. #### def copyValues[T <: Params](to: T, extra: ParamMap = ParamMap.empty): T

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.

to

the target instance

extra

extra params to be copied

returns

the target instance with param values copied

Attributes
protected
Definition Classes
Params
12. #### def createTransformFunc: (Vector) ⇒ Vector

Creates the transform function using the given param map.

Creates the transform function using the given param map. The input param map already takes account of the embedded param map. So the param values should be determined solely by the input param map.

Attributes
protected
Definition Classes
PolynomialExpansionUnaryTransformer
13. #### val degree: IntParam

The polynomial degree to expand, which should be >= 1.

The polynomial degree to expand, which should be >= 1. A value of 1 means no expansion. Default: 2

14. #### final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
15. #### def equals(arg0: Any): Boolean

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

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
17. #### def explainParams(): String

Explains all params of this instance.

Explains all params of this instance.

Definition Classes
Params

explainParam()

18. #### final def extractParamMap(): ParamMap

extractParamMap with no extra values.

extractParamMap with no extra values.

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

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.

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 < user-supplied values < extra.

Definition Classes
Params
20. #### def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
21. #### 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
22. #### final def getClass(): Class[_]

Definition Classes
AnyRef → Any
23. #### 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

25. #### final def getInputCol: String

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

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 getOutputCol: String

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

Gets a param by its name.

Gets a param by its name.

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

Tests whether the input param has a default value set.

Tests whether the input param has a default value set.

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

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
31. #### def hashCode(): Int

Definition Classes
AnyRef → Any
32. #### final val inputCol: Param[String]

Param for input column name.

Param for input column name.

Definition Classes
HasInputCol
33. #### final def isDefined(param: Param[_]): Boolean

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
34. #### final def isInstanceOf[T0]: Boolean

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

Checks whether a param is explicitly set.

Checks whether a param is explicitly set.

Definition Classes
Params
36. #### def isTraceEnabled(): Boolean

Attributes
protected
Definition Classes
Logging
37. #### def log: Logger

Attributes
protected
Definition Classes
Logging
38. #### def logDebug(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
39. #### def logDebug(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
40. #### def logError(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
41. #### def logError(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
42. #### def logInfo(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
43. #### def logInfo(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
44. #### def logName: String

Attributes
protected
Definition Classes
Logging
45. #### def logTrace(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
46. #### def logTrace(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
47. #### def logWarning(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
48. #### def logWarning(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
49. #### final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
50. #### final def notify(): Unit

Definition Classes
AnyRef
51. #### final def notifyAll(): Unit

Definition Classes
AnyRef
52. #### final val outputCol: Param[String]

Param for output column name.

Param for output column name.

Definition Classes
HasOutputCol
53. #### def outputDataType: DataType

Returns the data type of the output column.

Returns the data type of the output column.

Attributes
protected
Definition Classes
PolynomialExpansionUnaryTransformer
54. #### 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.

Note: Developer should not use this method in constructor because we cannot guarantee that this variable gets initialized before other params.

Definition Classes
Params
55. #### final def set(paramPair: ParamPair[_]): PolynomialExpansion.this.type

Sets a parameter in the embedded param map.

Sets a parameter in the embedded param map.

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

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
57. #### final def set[T](param: Param[T], value: T): PolynomialExpansion.this.type

Sets a parameter in the embedded param map.

Sets a parameter in the embedded param map.

Attributes
protected
Definition Classes
Params
58. #### final def setDefault(paramPairs: ParamPair[_]*): PolynomialExpansion.this.type

Sets default values for a list of params.

Sets default values for a list of params.

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
Annotations
@varargs()
59. #### final def setDefault[T](param: Param[T], value: T): PolynomialExpansion.this.type

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

61. #### def setInputCol(value: String): PolynomialExpansion

Definition Classes
UnaryTransformer
62. #### def setOutputCol(value: String): PolynomialExpansion

Definition Classes
UnaryTransformer
63. #### final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
64. #### def toString(): String

Definition Classes
Identifiable → AnyRef → Any
65. #### def transform(dataset: DataFrame): DataFrame

Transforms the input dataset.

Transforms the input dataset.

Definition Classes
UnaryTransformerTransformer
66. #### def transform(dataset: DataFrame, paramMap: ParamMap): DataFrame

Transforms the dataset with provided parameter map as additional parameters.

Transforms the dataset with provided parameter map as additional parameters.

dataset

input dataset

paramMap

returns

transformed dataset

Definition Classes
Transformer
67. #### def transform(dataset: DataFrame, firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame

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
@varargs()
68. #### def transformSchema(schema: StructType): StructType

:: DeveloperApi ::

:: DeveloperApi ::

Derives the output schema from the input schema.

Definition Classes
UnaryTransformerPipelineStage
69. #### def transformSchema(schema: StructType, logging: Boolean): StructType

:: 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.

Attributes
protected
Definition Classes
PipelineStage
Annotations
()
70. #### val uid: String

An immutable unique ID for the object and its derivatives.

An immutable unique ID for the object and its derivatives.

Definition Classes
PolynomialExpansion → Identifiable
71. #### def validateInputType(inputType: DataType): Unit

Validates the input type.

Validates the input type. Throw an exception if it is invalid.

Attributes
protected
Definition Classes
UnaryTransformer
72. #### def validateParams(): Unit

Validates parameter values stored internally.

Validates parameter values stored internally. Raise an exception if any parameter value is invalid.

This only needs to check for interactions between parameters. Parameter value checks which do not depend on other parameters are handled by Param.validate(). This method does not handle input/output column parameters; those are checked during schema validation.

Definition Classes
Params
73. #### final def wait(): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
74. #### final def wait(arg0: Long, arg1: Int): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
75. #### final def wait(arg0: Long): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )

### Parameters

A list of (hyper-)parameter keys this algorithm can take. Users can set and get the parameter values through setters and getters, respectively.