Package smile.math.kernel
Class SparseLinearKernel
java.lang.Object
smile.math.kernel.SparseLinearKernel
- All Implemented Interfaces:
Serializable
,ToDoubleBiFunction<SparseArray,
,SparseArray> Function
,DotProductKernel
,MercerKernel<SparseArray>
public class SparseLinearKernel
extends Object
implements MercerKernel<SparseArray>, DotProductKernel
The linear dot product kernel on sparse arrays. When using a linear kernel, input space is
identical to feature space.
- See Also:
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Constructor Summary
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Method Summary
Modifier and TypeMethodDescriptiondouble[]
hi()
Returns the upper bound of hyperparameters (in hyperparameter tuning).double[]
Returns the hyperparameters of kernel.double
k
(double dot) Computes the dot product kernel function.double
k
(SparseArray x, SparseArray y) Kernel function.double[]
kg
(double dot) Computes the dot product kernel function and its gradient over hyperparameters.double[]
kg
(SparseArray x, SparseArray y) Computes the kernel and its gradient over hyperparameters.double[]
lo()
Returns the lower bound of hyperparameters (in hyperparameter tuning).of
(double[] params) Returns the same kind kernel with the new hyperparameters.toString()
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
Methods inherited from interface smile.math.kernel.DotProductKernel
apply, f, K
Methods inherited from interface smile.math.kernel.MercerKernel
apply, applyAsDouble, K, K, KG
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Constructor Details
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SparseLinearKernel
public SparseLinearKernel()Constructor.
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Method Details
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toString
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k
public double k(double dot) Description copied from interface:DotProductKernel
Computes the dot product kernel function.- Specified by:
k
in interfaceDotProductKernel
- Parameters:
dot
- the dot product.- Returns:
- the kernel value.
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kg
public double[] kg(double dot) Description copied from interface:DotProductKernel
Computes the dot product kernel function and its gradient over hyperparameters.- Specified by:
kg
in interfaceDotProductKernel
- Parameters:
dot
- The dot product.- Returns:
- the kernel value and gradient.
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k
Description copied from interface:MercerKernel
Kernel function.- Specified by:
k
in interfaceMercerKernel<SparseArray>
- Parameters:
x
- an object.y
- an object.- Returns:
- the kernel value.
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kg
Description copied from interface:MercerKernel
Computes the kernel and its gradient over hyperparameters.- Specified by:
kg
in interfaceMercerKernel<SparseArray>
- Parameters:
x
- an object.y
- an object.- Returns:
- the kernel value and gradient.
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of
Description copied from interface:MercerKernel
Returns the same kind kernel with the new hyperparameters.- Specified by:
of
in interfaceMercerKernel<SparseArray>
- Parameters:
params
- the hyperparameters.- Returns:
- the same kind kernel with the new hyperparameters.
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hyperparameters
public double[] hyperparameters()Description copied from interface:MercerKernel
Returns the hyperparameters of kernel.- Specified by:
hyperparameters
in interfaceMercerKernel<SparseArray>
- Returns:
- the hyperparameters of kernel.
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lo
public double[] lo()Description copied from interface:MercerKernel
Returns the lower bound of hyperparameters (in hyperparameter tuning).- Specified by:
lo
in interfaceMercerKernel<SparseArray>
- Returns:
- the lower bound of hyperparameters.
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hi
public double[] hi()Description copied from interface:MercerKernel
Returns the upper bound of hyperparameters (in hyperparameter tuning).- Specified by:
hi
in interfaceMercerKernel<SparseArray>
- Returns:
- the upper bound of hyperparameters.
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