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.

  • package math

    Mathematical and statistical functions.

  • package plot
  • 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.

  • package util

    Utility functions.

  • package validation

    Model validation.

  • read
  • write
p

smile

package smile

Ordering
  1. Alphabetic
Visibility
  1. Public
  2. Protected

Package Members

  1. package data

    Data manipulation functions.

  2. package math

    Mathematical and statistical functions.

  3. package plot
  4. 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.

  5. package util

    Utility functions.

  6. package validation

    Model validation.

Value Members

  1. object read

    Data loading utilities.

  2. object write

    Data saving utilities.

Ungrouped