Package | Description |
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com.bayesserver.analysis | |
com.bayesserver.data.discovery |
Modifier and Type | Method and Description |
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static HistogramDensity |
HistogramDensity.learn(Iterable<WeightedValue> values,
HistogramDensityOptions options)
Learns a univariate empirical density from data.
|
Modifier and Type | Method and Description |
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List<Interval<Double>> |
Clustering.discretizeWeighted(Iterable<WeightedValue> unsortedData,
DiscretizationOptions options,
String dataColumn)
Discretizes unsorted weighted continuous data that may contain missing (null) values.
|
List<Interval<Double>> |
Discretize.discretizeWeighted(Iterable<WeightedValue> unsortedData,
DiscretizationOptions options,
String dataColumn)
Discretizes unsorted weighted continuous data that may contain missing (null) values.
|
List<Interval<Double>> |
EqualFrequencies.discretizeWeighted(Iterable<WeightedValue> unsortedData,
DiscretizationOptions options,
String dataColumn)
Discretizes unsorted weighted continuous data that may contain missing (null) values.
|
List<Interval<Double>> |
EqualIntervals.discretizeWeighted(Iterable<WeightedValue> unsortedData,
DiscretizationOptions options,
String dataColumn)
Discretizes unsorted weighted continuous data that may contain missing (null) values.
|
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