Package | Description |
---|---|
org.apache.flink.ml.optimization | |
org.apache.flink.ml.regression |
Modifier and Type | Class and Description |
---|---|
static class |
LearningRateMethod.Bottou |
static class |
LearningRateMethod.Constant$ |
static class |
LearningRateMethod.Default$ |
static class |
LearningRateMethod.InvScaling |
static class |
LearningRateMethod.Xu |
Modifier and Type | Method and Description |
---|---|
DataSet<WeightVector> |
GradientDescent.optimizeWithConvergenceCriterion(DataSet<LabeledVector> dataPoints,
DataSet<WeightVector> initialWeightsDS,
int numberOfIterations,
RegularizationPenalty regularizationPenalty,
double regularizationConstant,
double learningRate,
double convergenceThreshold,
LossFunction lossFunction,
LearningRateMethod.LearningRateMethodTrait learningRateMethod) |
DataSet<WeightVector> |
GradientDescent.optimizeWithoutConvergenceCriterion(DataSet<LabeledVector> data,
DataSet<WeightVector> initialWeightsDS,
int numberOfIterations,
RegularizationPenalty regularizationPenalty,
double regularizationConstant,
double learningRate,
LossFunction lossFunction,
LearningRateMethod.LearningRateMethodTrait optimizationMethod) |
static IterativeSolver |
GradientDescent.setLearningRateMethod(LearningRateMethod.LearningRateMethodTrait learningRateMethod) |
IterativeSolver |
IterativeSolver.setLearningRateMethod(LearningRateMethod.LearningRateMethodTrait learningRateMethod) |
Modifier and Type | Method and Description |
---|---|
MultipleLinearRegression |
MultipleLinearRegression.setLearningRateMethod(LearningRateMethod.LearningRateMethodTrait learningRateMethod) |
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