Package org.apache.spark.mllib.util

package org.apache.spark.mllib.util
  • Class
    Description
    DataValidators
    A collection of methods used to validate data before applying ML algorithms.
    KMeansDataGenerator
    Generate test data for KMeans.
    LinearDataGenerator
    Generate sample data used for Linear Data.
    Loader<M extends Saveable>
    Trait for classes which can load models and transformers from files.
    LogisticRegressionDataGenerator
    Generate test data for LogisticRegression.
    MFDataGenerator
    Generate RDD(s) containing data for Matrix Factorization.
    MLUtils
    Helper methods to load, save and pre-process data used in MLLib.
    NumericParser
    Simple parser for a numeric structure consisting of three types:
    Saveable
    Trait for models and transformers which may be saved as files.
    SVMDataGenerator
    Generate sample data used for SVM.