Class GLMRegressionModel.SaveLoadV1_0$

Object
org.apache.spark.mllib.regression.impl.GLMRegressionModel.SaveLoadV1_0$
Enclosing class:
GLMRegressionModel

public static class GLMRegressionModel.SaveLoadV1_0$ extends Object
  • Field Details

  • Constructor Details

    • SaveLoadV1_0$

      public SaveLoadV1_0$()
  • Method Details

    • thisFormatVersion

      public String thisFormatVersion()
    • save

      public void save(SparkContext sc, String path, String modelClass, Vector weights, double intercept)
      Helper method for saving GLM regression model metadata and data.
      Parameters:
      modelClass - String name for model class, to be saved with metadata
      sc - (undocumented)
      path - (undocumented)
      weights - (undocumented)
      intercept - (undocumented)
    • loadData

      public org.apache.spark.mllib.regression.impl.GLMRegressionModel.SaveLoadV1_0.Data loadData(SparkContext sc, String path, String modelClass, int numFeatures)
      Helper method for loading GLM regression model data.
      Parameters:
      modelClass - String name for model class (used for error messages)
      numFeatures - Number of features, to be checked against loaded data. The length of the weights vector should equal numFeatures.
      sc - (undocumented)
      path - (undocumented)
      Returns:
      (undocumented)