Package | Description |
---|---|
org.apache.mahout.classifier.sgd |
Implements a variety of on-line logistric regression classifiers using SGD-based algorithms.
|
Modifier and Type | Method and Description |
---|---|
CrossFoldLearner |
CrossFoldLearner.alpha(double alpha) |
CrossFoldLearner |
CrossFoldLearner.copy() |
CrossFoldLearner |
CrossFoldLearner.decayExponent(double x) |
CrossFoldLearner |
AdaptiveLogisticRegression.Wrapper.getLearner() |
CrossFoldLearner |
CrossFoldLearner.lambda(double v) |
CrossFoldLearner |
CrossFoldLearner.learningRate(double x) |
CrossFoldLearner |
CrossFoldLearner.stepOffset(int x) |
Modifier and Type | Method and Description |
---|---|
State<AdaptiveLogisticRegression.Wrapper,CrossFoldLearner> |
AdaptiveLogisticRegression.getBest() |
EvolutionaryProcess<AdaptiveLogisticRegression.Wrapper,CrossFoldLearner> |
AdaptiveLogisticRegression.getEp() |
State<AdaptiveLogisticRegression.Wrapper,CrossFoldLearner> |
AdaptiveLogisticRegression.getSeed() |
Modifier and Type | Method and Description |
---|---|
static void |
ModelSerializer.writeBinary(String path,
CrossFoldLearner model) |
Modifier and Type | Method and Description |
---|---|
static void |
AdaptiveLogisticRegression.Wrapper.freeze(State<AdaptiveLogisticRegression.Wrapper,CrossFoldLearner> s) |
void |
AdaptiveLogisticRegression.setBest(State<AdaptiveLogisticRegression.Wrapper,CrossFoldLearner> best) |
void |
AdaptiveLogisticRegression.setEp(EvolutionaryProcess<AdaptiveLogisticRegression.Wrapper,CrossFoldLearner> ep) |
static void |
AdaptiveLogisticRegression.Wrapper.setMappings(State<AdaptiveLogisticRegression.Wrapper,CrossFoldLearner> x) |
void |
AdaptiveLogisticRegression.setSeed(State<AdaptiveLogisticRegression.Wrapper,CrossFoldLearner> seed) |
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