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 data

    Data manipulation functions.

    Data manipulation functions.

    Definition Classes
    smile
  • package formula

    Formula DSL.

  • DataFrameOps
  • package math

    Mathematical and statistical functions.

    Mathematical and statistical functions.

    Definition Classes
    smile
  • package plot
    Definition Classes
    smile
  • package regression

    Regression analysis.

    Regression analysis. Regression analysis includes any techniques for modeling and analyzing several variables, when the focus is on the relationship between a dependent variable and one or more independent variables. Most commonly, regression analysis estimates the conditional expectation of the dependent variable given the independent variables. Therefore, the estimation target is a function of the independent variables called the regression function. Regression analysis is widely used for prediction and forecasting.

    Definition Classes
    smile
  • package util

    Utility functions.

    Utility functions.

    Definition Classes
    smile
  • package validation

    Model validation.

    Model validation.

    Definition Classes
    smile

package data

Data manipulation functions.

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Package Members

  1. package formula

    Formula DSL.

Type Members

  1. case class DataFrameOps(data: DataFrame) extends Product with Serializable

    Pimped data frame with Scala style operations.

    Pimped data frame with Scala style operations.

    data

    underlying data frame.

Value Members

  1. implicit def pimpDataFrame(data: DataFrame): DataFrameOps
  2. def summary(x: Array[Double]): Unit

    Prints the statistics of min, q1, median, mean, q3, and max.

  3. def summary(x: Array[Int]): Unit

    Prints the statistics of min, q1, median, mean, q3, and max.

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