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
    Definition Classes
    smile
  • package swing

    Swing based data visualization.

    Swing based data visualization.

    Definition Classes
    plot
  • package vega
    Definition Classes
    plot
  • Window

package vega

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Type Members

  1. case class Window(stage: Stage) extends Product with Serializable

    A JavaFX WebView with plot canvas.

Value Members

  1. def bar(data: (String, Array[Double]), group: (String, Array[String]), properties: JsObject): JsObject
  2. def bar(data: Array[Double]): JsObject
  3. def boxplot(data: (String, Array[Double]), group: (String, Array[String]), properties: JsObject): JsObject
  4. def embed(spec: JsObject): String
  5. def hist(x: (String, Array[Double]), k: Int, properties: JsObject): JsObject
  6. def iframe(spec: JsObject, id: String): String
  7. def line(data: Array[Array[Double]], fields: (String, String), point: Boolean, color: Option[(String, Either[Array[Int], Array[String]])], shape: Option[(String, Either[Array[Int], Array[String]])], properties: JsObject): JsObject
  8. implicit def pimpDataFrame(data: DataFrame): DataFrame2JSON
  9. implicit def pimpTuple(data: Tuple): Tuple2JSON
  10. def plot(data: Array[Array[Double]], fields: (String, String), color: Option[(String, Either[Array[Int], Array[String]])], shape: Option[(String, Either[Array[Int], Array[String]])], sizeOrText: Option[(String, Either[Array[Double], Array[String]])], properties: JsObject): JsObject
  11. def spm(data: DataFrame, clazz: Option[String], properties: JsObject): JsObject
  12. object Window extends LazyLogging with Serializable

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