Smile - Statistical Machine Intelligence and Learning Engine < Back

Packages

package root
High level Smile operators in Scala.
High level Smile operators in Scala.
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
time
package validation
Model validation.
Model validation.
Definition Classes
smile

util

Utility functions.

Linear Supertypes

LazyLogging, AnyRef, Any

Ordering

Inherited

Visibility

lazy val logger: Logger
Attributes
protected
Definition Classes
LazyLogging
Annotations
@transient()
def pdist(data: Array[Array[Double]], half: Boolean = true): Array[Array[Double]]
Returns the pairwise Euclidean distance matrix.
Returns the pairwise Euclidean distance matrix.
data
the data set.
half
if true, only the lower half of matrix is allocated to save space.
returns
the lower half of proximity matrix.
def proximity[T](data: Array[T], dist: Distance[T], half: Boolean = true): Array[Array[Double]]
Returns the proximity matrix of a dataset for given distance function.
Returns the proximity matrix of a dataset for given distance function.
data
the data set.
dist
the distance function.
half
if true, only the lower half of matrix is allocated to save space.
returns
the lower half of proximity matrix.
implicit def toJavaBiFunction[T, U, R](f: (T, U) => R): BiFunction[T, U, R]
Wraps Scala lambda as Java's.
implicit def toJavaFunction[T, R](f: (T) => R): Function[T, R]
Wraps Scala lambda as Java's.
object time
Measure running time of a function/block