Package | Description |
---|---|
jsat.classifiers.linear | |
jsat.classifiers.svm |
Modifier and Type | Class and Description |
---|---|
class |
LinearBatch
LinearBatch learns either a classification or regression problem depending on
the
loss function ℓ(w,x)
used. |
class |
NewGLMNET
NewGLMNET is a batch method for solving Elastic Net regularized Logistic
Regression problems of the form
0.5 * (1-α) ||w||2 + α * ||w||1 + C * ∑Ni=1 ℓ (wT xi + b, yi). |
Modifier and Type | Class and Description |
---|---|
class |
DCDs
Implements Dual Coordinate Descent with shrinking (DCDs) training algorithms
for a Linear L1 or L2 Support Vector Machine for binary
classification and regression.
|
class |
LSSVM
The Least Squares Support Vector Machine (LS-SVM) is an alternative to the
standard SVM classifier for regression and binary classification problems.
|
class |
PlattSMO
An implementation of SVMs using Platt's Sequential Minimum Optimization (SMO)
for both Classification and Regression problems.
|
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