PartialLeastSquaresAnalysis Methods |
The PartialLeastSquaresAnalysis type exposes the following members.
Name | Description | |
---|---|---|
Adjust(Double, Double, Double, Boolean) |
Adjusts a data matrix, centering and standardizing its values
using the already computed column's means and standard deviations.
| |
Adjust(Double, Double, Double, Boolean) |
Adjusts a data matrix, centering and standardizing its values
using the already computed column's means and standard deviations.
| |
Compute | Obsolete.
Computes the Partial Least Squares Analysis.
| |
Compute(Int32) | Obsolete.
Computes the Partial Least Squares Analysis.
| |
ComputeVariableImportanceInProjection |
Computes the variable importance in projection (VIP).
| |
CreateRegression |
Creates a Multivariate Linear Regression model using
coefficients obtained by the Partial Least Squares.
| |
CreateRegression(Int32) |
Creates a Multivariate Linear Regression model using
coefficients obtained by the Partial Least Squares.
| |
Equals | Determines whether the specified object is equal to the current object. (Inherited from Object.) | |
Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.) | |
GetHashCode | Serves as the default hash function. (Inherited from Object.) | |
GetType | Gets the Type of the current instance. (Inherited from Object.) | |
Learn |
Learns a model that can map the given inputs to the given outputs.
| |
MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object.) | |
ToString | Returns a string that represents the current object. (Inherited from Object.) | |
Transform(TInput) |
Applies the transformation to an input, producing an associated output.
(Inherited from MultipleTransformBaseTInput, TOutput.) | |
Transform(TInput) |
Applies the transformation to a set of input vectors,
producing an associated set of output vectors.
(Inherited from MultipleTransformBaseTInput, TOutput.) | |
Transform(Double) | Obsolete.
Projects a given set of inputs into latent space.
| |
Transform(TInput, TOutput) |
Applies the transformation to an input, producing an associated output.
(Inherited from MultipleTransformBaseTInput, TOutput.) | |
Transform(Double, Int32) | Obsolete.
Projects a given set of inputs into latent space.
| |
Transform(Double, Double) |
Applies the transformation to an input, producing an associated output.
(Overrides MultipleTransformBaseTInput, TOutputTransform(TInput, TOutput).) | |
TransformOutput(Double) | Obsolete.
Projects a given set of outputs into latent space.
| |
TransformOutput(Double) |
Projects a given set of outputs into latent space.
| |
TransformOutput(Double, Int32) | Obsolete.
Projects a given set of outputs into latent space.
| |
TransformOutput(Double, Int32) |
Projects a given set of outputs into latent space.
|
Name | Description | |
---|---|---|
HasMethod |
Checks whether an object implements a method with the given name.
(Defined by ExtensionMethods.) | |
IsEqual |
Compares two objects for equality, performing an elementwise
comparison if the elements are vectors or matrices.
(Defined by Matrix.) | |
To(Type) | Overloaded.
Converts an object into another type, irrespective of whether
the conversion can be done at compile time or not. This can be
used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.) | |
ToT | Overloaded.
Converts an object into another type, irrespective of whether
the conversion can be done at compile time or not. This can be
used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.) |