| Package | Description |
|---|---|
| de.jungblut.classification.nn | |
| de.jungblut.classification.regression | |
| de.jungblut.math.minimize | |
| de.jungblut.ner |
| Modifier and Type | Method and Description |
|---|---|
static CostGradientTuple |
MultilayerPerceptronCostFunction.computeNextStep(de.jungblut.math.DoubleVector input,
de.jungblut.math.DoubleMatrix x,
de.jungblut.math.DoubleMatrix y,
MultilayerPerceptronCostFunction.NetworkConfiguration conf)
Do a full forward pass and backpropagate the error.
|
protected CostGradientTuple |
RBMCostFunction.evaluateBatch(de.jungblut.math.DoubleVector input,
de.jungblut.math.DoubleMatrix data,
de.jungblut.math.DoubleMatrix outcomeBatch) |
protected CostGradientTuple |
MultilayerPerceptronCostFunction.evaluateBatch(de.jungblut.math.DoubleVector theta,
de.jungblut.math.DoubleMatrix featureBatch,
de.jungblut.math.DoubleMatrix outcomeBatch) |
| Modifier and Type | Method and Description |
|---|---|
CostGradientTuple |
LogisticRegressionCostFunction.evaluateCost(de.jungblut.math.DoubleVector theta) |
| Modifier and Type | Method and Description |
|---|---|
protected abstract CostGradientTuple |
AbstractMiniBatchCostFunction.evaluateBatch(de.jungblut.math.DoubleVector theta,
de.jungblut.math.DoubleMatrix featureBatch,
de.jungblut.math.DoubleMatrix outcomeBatch)
Evaluate the batch.
|
CostGradientTuple |
NegatedCostFunction.evaluateCost(de.jungblut.math.DoubleVector input) |
CostGradientTuple |
CostFunction.evaluateCost(de.jungblut.math.DoubleVector input)
Evaluation for the cost function to retrieve cost and gradient.
|
CostGradientTuple |
AbstractMiniBatchCostFunction.evaluateCost(de.jungblut.math.DoubleVector input) |
| Modifier and Type | Method and Description |
|---|---|
CostGradientTuple |
ConditionalLikelihoodCostFunction.evaluateCost(de.jungblut.math.DoubleVector input) |
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