Packages

trait AssertionDLParams extends Params

Linear Supertypes
Params, Serializable, Serializable, Identifiable, AnyRef, Any
Known Subclasses
AssertionDLApproach, AssertionDLModel, AssertionDLApproach, AssertionDLModel, AssertionDLApproach, AssertionDLModel
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  1. AssertionDLParams
  2. Params
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  4. Serializable
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Abstract Value Members

  1. abstract def copy(extra: ParamMap): Params
    Definition Classes
    Params
  2. abstract val uid: String
    Definition Classes
    Identifiable

Concrete 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
    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. val batchSize: IntParam

    Size for each batch in the optimization process (Default: 64)

  7. val chunkCol: Param[String]

    Column with extracted NER chunks

  8. final def clear(param: Param[_]): AssertionDLParams.this.type
    Definition Classes
    Params
  9. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  10. val configProtoBytes: IntArrayParam

    ConfigProto from tensorflow, serialized into byte array.

    ConfigProto from tensorflow, serialized into byte array. Get with config_proto.SerializeToString()

  11. def copyValues[T <: Params](to: T, extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  12. val datasetInfo: Param[String]

    Descriptive information about the dataset being used.

  13. final def defaultCopy[T <: Params](extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  14. val dropout: FloatParam

    Dropout at the output of each layer (Default: 0.05f)

  15. val enableOutputLogs: BooleanParam

    Whether to output to annotators log folder (Default: false)

  16. val endCol: Param[String]

    Column with token number for last target token

  17. val epochs: IntParam

    Number of epochs for the optimization process (Default: 5)

  18. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  19. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  20. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  21. def explainParams(): String
    Definition Classes
    Params
  22. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  23. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  24. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  25. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  26. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  27. def getConfigProtoBytes: Option[Array[Byte]]

    ConfigProto from tensorflow, serialized into byte array.

    ConfigProto from tensorflow, serialized into byte array. Get with config_proto.SerializeToString()

  28. def getDatasetInfo: String

    get descriptive information about the dataset being used

  29. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  30. def getEnableOutputLogs: Boolean

    Whether to output to annotators log folder

  31. def getIncludeConfidence: Boolean

    whether to include confidence scores in annotation metadata

  32. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  33. def getOutputLogsPath: String

    Folder path to save training logs

  34. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  35. def getScopeWindow: (Int, Int)

    Get scope window

  36. val graphFile: Param[String]

    File path that contain external graph file.

    File path that contain external graph file. When specified, the provided file will be used, and no graph search will happen. The path can be a local file path, a distributed file path (HDFS, DBFS), or a cloud storage (S3).

  37. val graphFolder: Param[String]

    Folder path that contain external graph files.

    Folder path that contain external graph files.

    Folder path that contain external graph files. The path can a local file path, a distributed file path (HDFS, DBFS), or a cloud storage (S3).

  38. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  39. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  40. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  41. val includeConfidence: BooleanParam

    Whether to include confidence scores in annotation metadata

  42. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  43. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  44. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  45. val labelCol: Param[String]

    Column with one label per document.

    Column with one label per document. Example of possible values: “present”, “absent”, “hypothetical”, “conditional”, “associated_with_other_person”, etc.

  46. val learningRate: FloatParam

    Learning rate for the optimization process (Default: 0.0012f)

  47. val maxSentLen: IntParam

    Max possible length of a sentence, must match graph model (Default: 250)

  48. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  49. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  50. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  51. val outputLogsPath: Param[String]

    Folder path to save training logs.

    Folder path to save training logs. If no path is specified, the logs won't be stored in disk. The path can be a local file path, a distributed file path (HDFS, DBFS), or a cloud storage (S3).

  52. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  53. val scopeWindow: IntArrayParam

    The scope window of the assertion (whole sentence by default)

  54. final def set(paramPair: ParamPair[_]): AssertionDLParams.this.type
    Attributes
    protected
    Definition Classes
    Params
  55. final def set(param: String, value: Any): AssertionDLParams.this.type
    Attributes
    protected
    Definition Classes
    Params
  56. final def set[T](param: Param[T], value: T): AssertionDLParams.this.type
    Definition Classes
    Params
  57. def setBatchSize(size: Int): AssertionDLParams.this.type

    Size for each batch in the optimization process

  58. def setChunkCol(c: String): AssertionDLParams.this.type

    Column with extracted NER chunks

  59. def setConfigProtoBytes(bytes: Array[Int]): AssertionDLParams.this.type

    ConfigProto from tensorflow, serialized into byte array.

    ConfigProto from tensorflow, serialized into byte array. Get with config_proto.SerializeToString()

  60. def setDatasetInfo(value: String): AssertionDLParams.this.type

    set descriptive information about the dataset being used

  61. final def setDefault(paramPairs: ParamPair[_]*): AssertionDLParams.this.type
    Attributes
    protected
    Definition Classes
    Params
  62. final def setDefault[T](param: Param[T], value: T): AssertionDLParams.this.type
    Attributes
    protected[org.apache.spark.ml]
    Definition Classes
    Params
  63. def setDropout(factor: Float): AssertionDLParams.this.type

    Dropout at the output of each layer

  64. def setEnableOutputLogs(v: Boolean): AssertionDLParams.this.type

    Whether to output to annotators log folder

  65. def setEndCol(e: String): AssertionDLParams.this.type

    Column with token number for last target token

  66. def setEpochs(number: Int): AssertionDLParams.this.type

    Number of epochs for the optimization process

  67. def setGraphFile(path: String): AssertionDLParams.this.type

    Folder path that contain external graph files

  68. def setGraphFolder(path: String): AssertionDLParams.this.type

    Folder path that contain external graph files

  69. def setIncludeConfidence(value: Boolean): AssertionDLParams.this.type

    Whether to include confidence scores in annotation metadata

  70. def setLabelCol(label: String): AssertionDLParams.this.type

    Column with one label per document

  71. def setLearningRate(rate: Float): AssertionDLParams.this.type

    Learning rate for the optimization process

  72. def setMaxSentLen(len: Int): AssertionDLParams.this.type

    Max possible length of a sentence, must match graph model

  73. def setOutputLogsPath(v: String): AssertionDLParams.this.type

    Folder path to save training logs

  74. def setScopeWindow(window: (Int, Int)): AssertionDLParams.this.type

    Max possible length of a sentence.

  75. def setStartCol(s: String): AssertionDLParams.this.type

    Column with token number for first target token

  76. def setValidationSplit(validationSplit: Float): AssertionDLParams.this.type

    Choose the proportion of training dataset to be validated against the model on each Epoch.

    Choose the proportion of training dataset to be validated against the model on each Epoch. The value should be between 0.0 and 1.0 and by default it is 0.0 and off.

  77. def setVerbose(verbose: Level): AssertionDLParams.this.type

    Level of verbosity during training

  78. val startCol: Param[String]

    Column with token number for first target token

  79. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  80. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  81. val validationSplit: FloatParam

    The proportion of training dataset to be used as validation set.

    The proportion of training dataset to be used as validation set.

    The model will be validated against this dataset on each Epoch and will not be used for training. The value should be between 0.0 and 1.0.

  82. val verbose: IntParam

    Level of verbosity during training

  83. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  84. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  85. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

getParam

param

setParam

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