Package | Description |
---|---|
org.apache.mahout.math.random |
Modifier and Type | Class and Description |
---|---|
class |
AbstractSamplerFunction
This shim allows samplers to be used to initialize vectors.
|
class |
ChineseRestaurant
Generates samples from a generalized Chinese restaurant process (or Pittman-Yor process).
|
class |
Empirical
Samples from an empirical cumulative distribution.
|
class |
IndianBuffet<T>
Samples a "document" from an IndianBuffet process.
|
class |
Missing<T>
Models data with missing values.
|
class |
Multinomial<T>
Multinomial sampler that allows updates to element probabilities.
|
class |
MultiNormal
Samples from a multi-variate normal distribution.
|
class |
Normal |
class |
PoissonSampler
Samples from a Poisson distribution.
|
Constructor and Description |
---|
Missing(double p,
Sampler<T> delegate) |
Missing(double p,
Sampler<T> delegate,
T missingMarker) |
Missing(int seed,
double p,
Sampler<T> delegate,
T missingMarker) |
Copyright © 2008–2017 The Apache Software Foundation. All rights reserved.