
@Reference(authors="L. Breiman", title="Bagging predictors", booktitle="Machine learning 24.2", url="http://dx.doi.org/10.1007/BF00058655") public class RandomSubsetProjectionFamily extends AbstractRandomProjectionFamily
L. Breiman
Bagging predictors
Machine learning 24.2
| Modifier and Type | Class and Description |
|---|---|
static class |
RandomSubsetProjectionFamily.Parameterizer
Parameterization class.
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static class |
RandomSubsetProjectionFamily.SubsetProjection
Random subset projection.
|
AbstractRandomProjectionFamily.MatrixProjectionRandomProjectionFamily.Projectionrandom| Constructor and Description |
|---|
RandomSubsetProjectionFamily(RandomFactory random)
Constructor.
|
| Modifier and Type | Method and Description |
|---|---|
RandomProjectionFamily.Projection |
generateProjection(int idim,
int odim)
Generate a projection matrix for the given dimensionalities.
|
static int[] |
randomPermutation(int[] out,
Random random)
Perform a random permutation of the array, in-place.
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static int[] |
range(int start,
int end)
Initialize an integer value range.
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public RandomSubsetProjectionFamily(RandomFactory random)
random - Random generator.public RandomProjectionFamily.Projection generateProjection(int idim, int odim)
RandomProjectionFamilyidim - Input Dimensionalityodim - Output Dimensionalitypublic static int[] range(int start,
int end)
start - Starting valueend - End value (exclusive)public static int[] randomPermutation(int[] out,
Random random)
out - Existing output arrayrandom - Random generator.