Packages

  • package root

    Smile (Statistical Machine Intelligence and Learning Engine) is a fast and comprehensive machine learning, NLP, linear algebra, graph, interpolation, and visualization system in Java and Scala.

    Smile (Statistical Machine Intelligence and Learning Engine) is a fast and comprehensive machine learning, NLP, linear algebra, graph, interpolation, and visualization system in Java and Scala. With advanced data structures and algorithms, Smile delivers state-of-art performance.

    Smile covers every aspect of machine learning, including classification, regression, clustering, association rule mining, feature selection, manifold learning, multidimensional scaling, genetic algorithms, missing value imputation, efficient nearest neighbor search, etc.

    Definition Classes
    root
  • package smile
    Definition Classes
    root
  • package plot

    Data visualization.

    Data visualization.

    Definition Classes
    smile
  • package vega
    Definition Classes
    plot
  • Facet
  • Layer
  • VegaLite
  • View
  • ViewComposition
  • ViewLayoutComposition

object VegaLite

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  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. val $schema: String

    The schema of Vega-Lite.

  4. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  5. def apply(url: String, format: JsValue = JsUndefined): View

    Returns a single view specification with data from from URL.

    Returns a single view specification with data from from URL.

    url

    An URL from which to load the data set.

    format

    Type of input data: "json", "csv", "tsv", "dsv". Default value: The default format type is determined by the extension of the file URL. If no extension is detected, "json" will be used by default.

  6. def apply(df: DataFrame): View

    Returns a single view specification with inline data.

  7. def apply(json: JsArray): View

    Returns a single view specification with inline data.

  8. def apply(rows: JsObject*): View

    Returns a single view specification with inline data.

  9. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  10. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
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    @throws( ... ) @native()
  11. def concat(url: String, format: JsValue, columns: Int, views: VegaLite*): ViewLayoutComposition

    General (wrappable) concatenation.

    General (wrappable) concatenation. Put multiple views into a flexible flow layout.

  12. def concat(df: DataFrame, columns: Int, views: VegaLite*): ViewLayoutComposition

    General (wrappable) concatenation.

    General (wrappable) concatenation. Put multiple views into a flexible flow layout.

  13. def concat(json: JsArray, columns: Int, views: VegaLite*): ViewLayoutComposition

    General (wrappable) concatenation.

    General (wrappable) concatenation. Put multiple views into a flexible flow layout.

  14. def concat(columns: Int, views: VegaLite*): ViewLayoutComposition

    General (wrappable) concatenation.

    General (wrappable) concatenation. Put multiple views into a flexible flow layout.

  15. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  16. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  17. def facet(url: String, format: JsValue = JsUndefined): Facet

    Returns a facet specification with data from from URL.

    Returns a facet specification with data from from URL.

    url

    An URL from which to load the data set.

    format

    Type of input data: "json", "csv", "tsv", "dsv". Default value: The default format type is determined by the extension of the file URL. If no extension is detected, "json" will be used by default.

  18. def facet(df: DataFrame): Facet

    Returns a facet specification with inline data.

  19. def facet(json: JsArray): Facet

    Returns a facet specification with inline data.

  20. def facet(rows: JsObject*): Facet

    Returns a facet specification with inline data.

  21. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
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    @throws( classOf[java.lang.Throwable] )
  22. final def getClass(): Class[_]
    Definition Classes
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    Annotations
    @native()
  23. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  24. def hconcat(url: String, format: JsValue, views: VegaLite*): ViewLayoutComposition

    Horizontal concatenation.

    Horizontal concatenation. Put multiple views into a column.

  25. def hconcat(df: DataFrame, views: VegaLite*): ViewLayoutComposition

    Horizontal concatenation.

    Horizontal concatenation. Put multiple views into a column.

  26. def hconcat(json: JsArray, views: VegaLite*): ViewLayoutComposition

    Horizontal concatenation.

    Horizontal concatenation. Put multiple views into a column.

  27. def hconcat(views: VegaLite*): ViewLayoutComposition

    Horizontal concatenation.

    Horizontal concatenation. Put multiple views into a column.

  28. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  29. def layer(url: String, format: JsValue, layers: View*): Layer

    Returns a layered view specification.

  30. def layer(df: DataFrame, layers: View*): Layer

    Returns a layered view specification.

  31. def layer(json: JsArray, layers: View*): Layer

    Returns a layered view specification.

  32. def layer(layers: View*): Layer

    Returns a layered view specification.

  33. val mime: String

    The MIME type of Vega-Lite.

  34. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  35. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  36. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  37. def repeat(url: String, format: JsValue, view: VegaLite, row: Seq[String], column: Seq[String]): ViewLayoutComposition

    Creates a view for each entry in an array of fields.

    Creates a view for each entry in an array of fields. This operator generates multiple plots like facet. However, unlike facet it allows full replication of a data set in each view.

    row

    An array of fields to be repeated vertically.

    column

    An array of fields to be repeated horizontally.

  38. def repeat(df: DataFrame, view: VegaLite, row: Seq[String], column: Seq[String]): ViewLayoutComposition

    Creates a view for each entry in an array of fields.

    Creates a view for each entry in an array of fields. This operator generates multiple plots like facet. However, unlike facet it allows full replication of a data set in each view.

    row

    An array of fields to be repeated vertically.

    column

    An array of fields to be repeated horizontally.

  39. def repeat(json: JsArray, view: VegaLite, row: Seq[String], column: Seq[String]): ViewLayoutComposition

    Creates a view for each entry in an array of fields.

    Creates a view for each entry in an array of fields. This operator generates multiple plots like facet. However, unlike facet it allows full replication of a data set in each view.

    row

    An array of fields to be repeated vertically.

    column

    An array of fields to be repeated horizontally.

  40. def repeat(url: String, format: JsValue, view: VegaLite, fields: String*): ViewLayoutComposition

    Creates a view for each entry in an array of fields.

    Creates a view for each entry in an array of fields. This operator generates multiple plots like facet. However, unlike facet it allows full replication of a data set in each view.

    fields

    The fields that should be used for each entry.

  41. def repeat(df: DataFrame, view: VegaLite, fields: String*): ViewLayoutComposition

    Creates a view for each entry in an array of fields.

    Creates a view for each entry in an array of fields. This operator generates multiple plots like facet. However, unlike facet it allows full replication of a data set in each view.

    fields

    The fields that should be used for each entry.

  42. def repeat(json: JsArray, view: VegaLite, fields: String*): ViewLayoutComposition

    Creates a view for each entry in an array of fields.

    Creates a view for each entry in an array of fields. This operator generates multiple plots like facet. However, unlike facet it allows full replication of a data set in each view.

    fields

    The fields that should be used for each entry.

  43. def splom(df: DataFrame, color: String = ""): ViewLayoutComposition

    Scatterplot Matrix (SPLOM).

  44. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  45. def toString(): String
    Definition Classes
    AnyRef → Any
  46. def vconcat(url: String, format: JsValue, views: VegaLite*): ViewLayoutComposition

    Vertical concatenation.

    Vertical concatenation. Put multiple views into a row.

  47. def vconcat(df: DataFrame, views: VegaLite*): ViewLayoutComposition

    Vertical concatenation.

    Vertical concatenation. Put multiple views into a row.

  48. def vconcat(json: JsArray, views: VegaLite*): ViewLayoutComposition

    Vertical concatenation.

    Vertical concatenation. Put multiple views into a row.

  49. def vconcat(views: VegaLite*): ViewLayoutComposition

    Vertical concatenation.

    Vertical concatenation. Put multiple views into a row.

  50. def view(init: JsObject = JsObject()): View

    Returns a single view specification to be used in a composition.

    Returns a single view specification to be used in a composition.

    init

    Initial specification.

  51. final def wait(): Unit
    Definition Classes
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    @throws( ... )
  52. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
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    @throws( ... )
  53. final def wait(arg0: Long): Unit
    Definition Classes
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    @throws( ... ) @native()

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