org.apache.spark.ml.feature

Word2VecModel

class Word2VecModel extends Model[Word2VecModel] with Word2VecBase

:: Experimental :: Model fitted by Word2Vec.

Annotations
@Experimental()
Linear Supertypes
Word2VecBase, HasSeed, HasStepSize, HasMaxIter, HasOutputCol, HasInputCol, Model[Word2VecModel], Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. Word2VecModel
  2. Word2VecBase
  3. HasSeed
  4. HasStepSize
  5. HasMaxIter
  6. HasOutputCol
  7. HasInputCol
  8. Model
  9. Transformer
  10. PipelineStage
  11. Logging
  12. Params
  13. Serializable
  14. Serializable
  15. Identifiable
  16. AnyRef
  17. 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[_]): Word2VecModel.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): Word2VecModel

    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.

    Definition Classes
    Word2VecModelModelTransformerPipelineStageParams
    See also

    defaultCopy()

  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.

    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
  12. 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
  13. final def eq(arg0: AnyRef): Boolean

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

    Definition Classes
    AnyRef → Any
  15. 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
  16. def explainParams(): String

    Explains all params of this instance.

    Explains all params of this instance.

    Definition Classes
    Params
    See also

    explainParam()

  17. final def extractParamMap(): ParamMap

    extractParamMap with no extra values.

    extractParamMap with no extra values.

    Definition Classes
    Params
  18. 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
  19. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  20. def findSynonyms(word: Vector, num: Int): DataFrame

    Find "num" number of words closest to similarity to the given vector representation of the word.

    Find "num" number of words closest to similarity to the given vector representation of the word. Returns a dataframe with the words and the cosine similarities between the synonyms and the given word vector.

  21. def findSynonyms(word: String, num: Int): DataFrame

    Find "num" number of words closest in similarity to the given word.

    Find "num" number of words closest in similarity to the given word. Returns a dataframe with the words and the cosine similarities between the synonyms and the given word.

  22. 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
  23. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any
  24. 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 getMaxIter: Int

    Definition Classes
    HasMaxIter
  27. def getMinCount: Int

    Definition Classes
    Word2VecBase
  28. def getNumPartitions: Int

    Definition Classes
    Word2VecBase
  29. 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
  30. final def getOutputCol: String

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

    Gets a param by its name.

    Gets a param by its name.

    Definition Classes
    Params
  32. final def getSeed: Long

    Definition Classes
    HasSeed
  33. final def getStepSize: Double

    Definition Classes
    HasStepSize
  34. def getVectorSize: Int

    Definition Classes
    Word2VecBase
  35. lazy val getVectors: DataFrame

    Returns a dataframe with two fields, "word" and "vector", with "word" being a String and and the vector the DenseVector that it is mapped to.

  36. 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
  37. 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
  38. def hasParent: Boolean

    Indicates whether this Model has a corresponding parent.

    Indicates whether this Model has a corresponding parent.

    Definition Classes
    Model
  39. def hashCode(): Int

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

    Param for input column name.

    Param for input column name.

    Definition Classes
    HasInputCol
  41. 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
  42. final def isInstanceOf[T0]: Boolean

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

    Checks whether a param is explicitly set.

    Checks whether a param is explicitly set.

    Definition Classes
    Params
  44. def isTraceEnabled(): Boolean

    Attributes
    protected
    Definition Classes
    Logging
  45. def log: Logger

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

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

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

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

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

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

    Attributes
    protected
    Definition Classes
    Logging
  52. def logName: String

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

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

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

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

    Attributes
    protected
    Definition Classes
    Logging
  57. final val maxIter: IntParam

    Param for maximum number of iterations (>= 0).

    Param for maximum number of iterations (>= 0).

    Definition Classes
    HasMaxIter
  58. final val minCount: IntParam

    The minimum number of times a token must appear to be included in the word2vec model's vocabulary.

    The minimum number of times a token must appear to be included in the word2vec model's vocabulary. Default: 5

    Definition Classes
    Word2VecBase
  59. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  60. final def notify(): Unit

    Definition Classes
    AnyRef
  61. final def notifyAll(): Unit

    Definition Classes
    AnyRef
  62. final val numPartitions: IntParam

    Number of partitions for sentences of words.

    Number of partitions for sentences of words. Default: 1

    Definition Classes
    Word2VecBase
  63. final val outputCol: Param[String]

    Param for output column name.

    Param for output column name.

    Definition Classes
    HasOutputCol
  64. 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
  65. var parent: Estimator[Word2VecModel]

    The parent estimator that produced this model.

    The parent estimator that produced this model. Note: For ensembles' component Models, this value can be null.

    Definition Classes
    Model
  66. final val seed: LongParam

    Param for random seed.

    Param for random seed.

    Definition Classes
    HasSeed
  67. final def set(paramPair: ParamPair[_]): Word2VecModel.this.type

    Sets a parameter in the embedded param map.

    Sets a parameter in the embedded param map.

    Attributes
    protected
    Definition Classes
    Params
  68. final def set(param: String, value: Any): Word2VecModel.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
  69. final def set[T](param: Param[T], value: T): Word2VecModel.this.type

    Sets a parameter in the embedded param map.

    Sets a parameter in the embedded param map.

    Attributes
    protected
    Definition Classes
    Params
  70. final def setDefault(paramPairs: ParamPair[_]*): Word2VecModel.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
  71. final def setDefault[T](param: Param[T], value: T): Word2VecModel.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
  72. def setInputCol(value: String): Word2VecModel.this.type

  73. def setOutputCol(value: String): Word2VecModel.this.type

  74. def setParent(parent: Estimator[Word2VecModel]): Word2VecModel

    Sets the parent of this model (Java API).

    Sets the parent of this model (Java API).

    Definition Classes
    Model
  75. final val stepSize: DoubleParam

    Param for Step size to be used for each iteration of optimization.

    Param for Step size to be used for each iteration of optimization..

    Definition Classes
    HasStepSize
  76. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef
  77. def toString(): String

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

    Transform a sentence column to a vector column to represent the whole sentence.

    Transform a sentence column to a vector column to represent the whole sentence. The transform is performed by averaging all word vectors it contains.

    Definition Classes
    Word2VecModelTransformer
  79. 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

    additional parameters, overwrite embedded params

    returns

    transformed dataset

    Definition Classes
    Transformer
  80. 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()
  81. def transformSchema(schema: StructType): StructType

    :: DeveloperApi ::

    :: DeveloperApi ::

    Derives the output schema from the input schema.

    Definition Classes
    Word2VecModelPipelineStage
  82. 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
    @DeveloperApi()
  83. 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
    Word2VecModelIdentifiable
  84. def validateAndTransformSchema(schema: StructType): StructType

    Validate and transform the input schema.

    Validate and transform the input schema.

    Attributes
    protected
    Definition Classes
    Word2VecBase
  85. 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
  86. final val vectorSize: IntParam

    The dimension of the code that you want to transform from words.

    The dimension of the code that you want to transform from words. Default: 100

    Definition Classes
    Word2VecBase
  87. final def wait(): Unit

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

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Word2VecBase

Inherited from HasSeed

Inherited from HasStepSize

Inherited from HasMaxIter

Inherited from HasOutputCol

Inherited from HasInputCol

Inherited from Model[Word2VecModel]

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