Name | Description | Type | Package | Framework |
AbstractSamplerFunction | This shim allows samplers to be used to initialize vectors. | Class | org.apache.mahout.math.random | Apache Mahout |
ChineseRestaurant | Generates samples from a generalized Chinese restaurant process (or Pittman-Yor process). | Class | org.apache.mahout.math.random | Apache Mahout |
Empirical | Samples from an empirical cumulative distribution. | Class | org.apache.mahout.math.random | Apache Mahout |
IndianBuffet | Samples a "document" from an IndianBuffet process. | Class | org.apache.mahout.math.random | Apache Mahout |
IndianBuffet .IdentityConverter | Just converts to an integer. | Class | org.apache.mahout.math.random.IndianBuffet | Apache Mahout |
IndianBuffet .ImpossibleException | Class | org.apache.mahout.math.random.IndianBuffet | Apache Mahout | |
IndianBuffet .StringConverter | Converts to a string. | Class | org.apache.mahout.math.random.IndianBuffet | Apache Mahout |
IndianBuffet .WordConverter | Converts to one of a list of common English words for reasonably small integers and converts to a token like w_92463 for big integers. | Class | org.apache.mahout.math.random.IndianBuffet | Apache Mahout |
Missing | Models data with missing values. | Class | org.apache.mahout.math.random | Apache Mahout |
Multinomial | Multinomial sampler that allows updates to element probabilities. | Class | org.apache.mahout.math.random | Apache Mahout |
MultiNormal | Samples from a multi-variate normal distribution. | Class | org.apache.mahout.math.random | Apache Mahout |
Normal | Class | org.apache.mahout.math.random | Apache Mahout | |
PoissonSampler | Samples from a Poisson distribution. | Class | org.apache.mahout.math.random | Apache Mahout |
RandomAccessSparseVector | Class | org.apache.mahout.math | Apache Mahout | |
RandomTrinaryMatrix | Random matrix. | Class | org.apache.mahout.math | Apache Mahout |
WeightedThing | Handy for creating multinomial distributions of things. | Class | org.apache.mahout.math.random | Apache Mahout |