Packages

  • package root
    Definition Classes
    root
  • package org
    Definition Classes
    root
  • package apache
    Definition Classes
    org
  • package spark

    Core Spark functionality.

    Core Spark functionality. org.apache.spark.SparkContext serves as the main entry point to Spark, while org.apache.spark.rdd.RDD is the data type representing a distributed collection, and provides most parallel operations.

    In addition, org.apache.spark.rdd.PairRDDFunctions contains operations available only on RDDs of key-value pairs, such as groupByKey and join; org.apache.spark.rdd.DoubleRDDFunctions contains operations available only on RDDs of Doubles; and org.apache.spark.rdd.SequenceFileRDDFunctions contains operations available on RDDs that can be saved as SequenceFiles. These operations are automatically available on any RDD of the right type (e.g. RDD[(Int, Int)] through implicit conversions.

    Java programmers should reference the org.apache.spark.api.java package for Spark programming APIs in Java.

    Classes and methods marked with Experimental are user-facing features which have not been officially adopted by the Spark project. These are subject to change or removal in minor releases.

    Classes and methods marked with Developer API are intended for advanced users want to extend Spark through lower level interfaces. These are subject to changes or removal in minor releases.

    Definition Classes
    apache
  • package ml

    DataFrame-based machine learning APIs to let users quickly assemble and configure practical machine learning pipelines.

    DataFrame-based machine learning APIs to let users quickly assemble and configure practical machine learning pipelines.

    Definition Classes
    spark
  • package fpm
    Definition Classes
    ml
  • FPGrowth
  • FPGrowthModel
  • PrefixSpan
c

org.apache.spark.ml.fpm

PrefixSpan

final class PrefixSpan extends Params

:: Experimental :: A parallel PrefixSpan algorithm to mine frequent sequential patterns. The PrefixSpan algorithm is described in J. Pei, et al., PrefixSpan: Mining Sequential Patterns Efficiently by Prefix-Projected Pattern Growth (see here). This class is not yet an Estimator/Transformer, use findFrequentSequentialPatterns method to run the PrefixSpan algorithm.

Annotations
@Since( "2.4.0" ) @Experimental()
See also

Sequential Pattern Mining (Wikipedia)

Linear Supertypes
Params, Serializable, Serializable, Identifiable, AnyRef, Any
Ordering
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  2. Alphabetic
  3. By Inheritance
Inherited
  1. PrefixSpan
  2. Params
  3. Serializable
  4. Serializable
  5. Identifiable
  6. AnyRef
  7. Any
  1. Hide All
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new PrefixSpan()
    Annotations
    @Since( "2.4.0" )
  2. new PrefixSpan(uid: String)

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def $[T](param: Param[T]): T

    An alias for getOrDefault().

    An alias for getOrDefault().

    Attributes
    protected
    Definition Classes
    Params
  4. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  5. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. final def clear(param: Param[_]): PrefixSpan.this.type

    Clears the user-supplied value for the input param.

    Clears the user-supplied value for the input param.

    Definition Classes
    Params
  7. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )
  8. def copy(extra: ParamMap): PrefixSpan

    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
    PrefixSpan → Params
    Annotations
    @Since( "2.4.0" )
  9. 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.

    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
  10. final def defaultCopy[T <: Params](extra: ParamMap): T

    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
  11. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  12. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  13. 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
  14. def explainParams(): String

    Explains all params of this instance.

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

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

    extractParamMap with no extra values.

    extractParamMap with no extra values.

    Definition Classes
    Params
  16. 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.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
  17. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  18. def findFrequentSequentialPatterns(dataset: Dataset[_]): DataFrame

    :: Experimental :: Finds the complete set of frequent sequential patterns in the input sequences of itemsets.

    :: Experimental :: Finds the complete set of frequent sequential patterns in the input sequences of itemsets.

    dataset

    A dataset or a dataframe containing a sequence column which is

    ArrayType(ArrayType(T))
    returns

    A DataFrame that contains columns of sequence and corresponding frequency. The schema of it will be:

    • sequence: ArrayType(ArrayType(T)) (T is the item type)
    • freq: Long
    Annotations
    @Since( "2.4.0" )
  19. 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
  20. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  21. 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
  22. def getMaxLocalProjDBSize: Long

    Annotations
    @Since( "2.4.0" )
  23. def getMaxPatternLength: Int

    Annotations
    @Since( "2.4.0" )
  24. def getMinSupport: Double

    Annotations
    @Since( "2.4.0" )
  25. 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
  26. def getParam(paramName: String): Param[Any]

    Gets a param by its name.

    Gets a param by its name.

    Definition Classes
    Params
  27. def getSequenceCol: String

    Annotations
    @Since( "2.4.0" )
  28. 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
  29. 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
  30. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  31. 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
  32. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  33. final def isSet(param: Param[_]): Boolean

    Checks whether a param is explicitly set.

    Checks whether a param is explicitly set.

    Definition Classes
    Params
  34. val maxLocalProjDBSize: LongParam

    Param for the maximum number of items (including delimiters used in the internal storage format) allowed in a projected database before local processing (default: 32000000).

    Param for the maximum number of items (including delimiters used in the internal storage format) allowed in a projected database before local processing (default: 32000000). If a projected database exceeds this size, another iteration of distributed prefix growth is run.

    Annotations
    @Since( "2.4.0" )
  35. val maxPatternLength: IntParam

    Param for the maximal pattern length (default: 10).

    Param for the maximal pattern length (default: 10).

    Annotations
    @Since( "2.4.0" )
  36. val minSupport: DoubleParam

    Param for the minimal support level (default: 0.1).

    Param for the minimal support level (default: 0.1). Sequential patterns that appear more than (minSupport * size-of-the-dataset) times are identified as frequent sequential patterns.

    Annotations
    @Since( "2.4.0" )
  37. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  38. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  39. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  40. 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.

  41. val sequenceCol: Param[String]

    Param for the name of the sequence column in dataset (default "sequence"), rows with nulls in this column are ignored.

    Param for the name of the sequence column in dataset (default "sequence"), rows with nulls in this column are ignored.

    Annotations
    @Since( "2.4.0" )
  42. final def set(paramPair: ParamPair[_]): PrefixSpan.this.type

    Sets a parameter in the embedded param map.

    Sets a parameter in the embedded param map.

    Attributes
    protected
    Definition Classes
    Params
  43. final def set(param: String, value: Any): PrefixSpan.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
  44. final def set[T](param: Param[T], value: T): PrefixSpan.this.type

    Sets a parameter in the embedded param map.

    Sets a parameter in the embedded param map.

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

    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
  46. final def setDefault[T](param: Param[T], value: T): PrefixSpan.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
  47. def setMaxLocalProjDBSize(value: Long): PrefixSpan.this.type

    Annotations
    @Since( "2.4.0" )
  48. def setMaxPatternLength(value: Int): PrefixSpan.this.type

    Annotations
    @Since( "2.4.0" )
  49. def setMinSupport(value: Double): PrefixSpan.this.type

    Annotations
    @Since( "2.4.0" )
  50. def setSequenceCol(value: String): PrefixSpan.this.type

    Annotations
    @Since( "2.4.0" )
  51. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  52. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  53. 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
    PrefixSpan → Identifiable
    Annotations
    @Since( "2.4.0" )
  54. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  55. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  56. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )

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