Package | Description |
---|---|
gov.sandia.cognition.learning.algorithm.regression |
Provides regression algorithms, such as Linear Regression.
|
gov.sandia.cognition.learning.function.scalar |
Provides functions that output real numbers.
|
Modifier and Type | Method and Description |
---|---|
VectorFunctionLinearDiscriminant<InputType> |
LinearBasisRegression.learn(java.util.Collection<? extends InputOutputPair<? extends InputType,java.lang.Double>> data)
Computes the linear regression for the given Collection of
InputOutputPairs.
|
Modifier and Type | Method and Description |
---|---|
VectorFunctionLinearDiscriminant<InputType> |
VectorFunctionLinearDiscriminant.clone() |
VectorFunctionLinearDiscriminant<java.lang.Double> |
PolynomialFunction.Regression.learn(java.util.Collection<? extends InputOutputPair<? extends java.lang.Double,java.lang.Double>> data) |
static VectorFunctionLinearDiscriminant<java.lang.Double> |
PolynomialFunction.Regression.learn(int maxOrder,
java.util.Collection<? extends InputOutputPair<java.lang.Double,java.lang.Double>> data)
Performs LinearRegression using all integer-exponent polynomials
less than or equal to the maxOrder
|