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 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
  • read
  • write
o

smile

write

object write

Data saving utilities.

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  1. final def !=(arg0: Any): Boolean
    Definition Classes
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  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. def apply[T](data: Array[T], file: Path): Unit

    Writes an array to a text file line by line.

    Writes an array to a text file line by line.

    data

    an array.

    file

    the file path

  5. def apply[T](data: Array[T], file: String): Unit

    Writes an array to a text file line by line.

    Writes an array to a text file line by line.

    data

    an array.

    file

    the file path

  6. def apply[T <: Serializable](x: T, file: Path): Unit

    Serializes a Serializable object/model to a file.

  7. def apply[T <: Serializable](x: T, file: String): Unit

    Serializes a Serializable object/model to a file.

  8. def arff(data: DataFrame, file: Path, relation: String): Unit

    Writes a data frame to an ARFF file.

  9. def arff(data: DataFrame, file: String, relation: String): Unit

    Writes a data frame to an ARFF file.

  10. def arrow(data: DataFrame, file: Path): Unit

    Writes a data frame to an Apache Arrow file.

  11. def arrow(data: DataFrame, file: String): Unit

    Writes a data frame to an Apache Arrow file.

  12. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  13. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.CloneNotSupportedException]) @native()
  14. def csv(data: DataFrame, file: Path, delimiter: Char): Unit

    Writes a DataFrame to a delimited text file.

    Writes a DataFrame to a delimited text file.

    data

    an attribute dataset.

    file

    the file path

  15. def csv(data: DataFrame, file: String, delimiter: Char = ','): Unit

    Writes a DataFrame to a delimited text file.

    Writes a DataFrame to a delimited text file.

    data

    an attribute dataset.

    file

    the file path

  16. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  17. def equals(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef → Any
  18. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
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    @throws(classOf[java.lang.Throwable])
  19. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  20. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  21. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  22. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  23. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  24. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  25. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  26. def table[T](data: Array[Array[T]], file: Path, delimiter: Char): Unit

    Writes a two-dimensional array to a delimited text file.

    Writes a two-dimensional array to a delimited text file.

    data

    a two-dimensional array.

    file

    the file path

    delimiter

    delimiter string

  27. def table[T](data: Array[Array[T]], file: String, delimiter: Char = ','): Unit

    Writes a two-dimensional array to a delimited text file.

    Writes a two-dimensional array to a delimited text file.

    data

    a two-dimensional array.

    file

    the file path

    delimiter

    delimiter string

  28. def toString(): String
    Definition Classes
    AnyRef → Any
  29. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  30. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  31. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()
  32. def xstream[T <: AnyRef](x: T, file: Path): Unit

    Serializes an object/model to a file by XStream.

  33. def xstream[T <: AnyRef](x: T, file: String): Unit

    Serializes an object/model to a file by XStream.

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