| Package | Description |
|---|---|
| de.jungblut.classification.nn | |
| de.jungblut.classification.regression | |
| de.jungblut.math.minimize | |
| de.jungblut.ner |
| Modifier and Type | Method and Description |
|---|---|
static MultilayerPerceptron.MultilayerPerceptronBuilder |
MultilayerPerceptron.MultilayerPerceptronBuilder.create(int[] layer,
ActivationFunction[] activations,
LossFunction errorFunction,
Minimizer minimizer,
int maxIteration)
Creates a new TrainingConfiguration with the mandatory configurations of
the activation functions, the to be used minimizer and the maximum
iterations.
|
double |
MultilayerPerceptron.train(de.jungblut.math.DoubleVector[] features,
de.jungblut.math.DoubleVector[] outcome,
Minimizer minimizer,
int maxIterations,
double lambda,
boolean verbose)
Full backpropagation training method.
|
void |
RBM.train(de.jungblut.math.DoubleVector[] trainingSet,
Minimizer minimizer,
int numIterations)
Trains the RBM on the given training set.
|
| Constructor and Description |
|---|
LogisticRegression(double lambda,
Minimizer minimizer,
int numIterations,
boolean verbose)
Creates a new logistic regression.
|
| Modifier and Type | Class and Description |
|---|---|
class |
AbstractMinimizer
Abstract minimizer class that adds functionality that can be shared between
many minimizers.
|
class |
Fmincg
Minimize a continuous differentialble multivariate function.
|
class |
GradientDescent
Gradient descent implementation with some neat features like momentum,
divergence detection, delta breaks and bold driver and scheduled annealing
adaptive learning rates.
|
class |
OWLQN
Java translation of C++ code of
"Orthant-Wise Limited-memory Quasi-Newton Optimizer for L1-regularized Objectives"
(@see http://research.microsoft.com/).
|
class |
ParticleSwarmOptimization
Particle Swarm Optimization algorithm to minimize costfunctions.
|
| Constructor and Description |
|---|
MaxEntMarkovModel(Minimizer minimizer,
int numIterations,
boolean verbose) |
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