Examples of org.apache.hama.util.ProgramDriver.addClass()

Class org.apache.hama.util.ProgramDriver

Examples of org.apache.hama.util.ProgramDriver.addClass()

org.apache.hama.util.ProgramDriver.addClass()
This is the method that adds the classed to the repository @param name The name of the string you want the class instance to be called with @param mainClass The class that you want to add to the repository @param description The description of the class @throws NoSuchMethodException @throws SecurityException

      pgd.addClass("pagerank", PageRank.class, "PageRank");
      pgd.addClass("inlnkcount", InlinkCount.class, "InlinkCount");
      pgd.addClass("bipartite", BipartiteMatching.class, "Bipartite Matching");
      pgd.addClass("semi", SemiClusterJobDriver.class, "Semi Clustering");
      pgd.addClass("kmeans", Kmeans.class, "K-Means Clustering");
      pgd.addClass("gd", GradientDescentExample.class, "Gradient Descent");
      pgd.addClass("neuralnets", NeuralNetwork.class, "Neural Network classification");


      pgd.addClass("gen", Generator.class, "Random Data Generator Util");
      pgd.driver(args);
    } catch (Throwable e) {

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      pgd.addClass("inlnkcount", InlinkCount.class, "InlinkCount");
      pgd.addClass("bipartite", BipartiteMatching.class, "Bipartite Matching");
      pgd.addClass("semi", SemiClusterJobDriver.class, "Semi Clustering");
      pgd.addClass("kmeans", Kmeans.class, "K-Means Clustering");
      pgd.addClass("gd", GradientDescentExample.class, "Gradient Descent");
      pgd.addClass("neuralnets", NeuralNetwork.class, "Neural Network classification");


      pgd.addClass("gen", Generator.class, "Random Data Generator Util");
      pgd.driver(args);
    } catch (Throwable e) {
      e.printStackTrace();

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      pgd.addClass("semi", SemiClusterJobDriver.class, "Semi Clustering");
      pgd.addClass("kmeans", Kmeans.class, "K-Means Clustering");
      pgd.addClass("gd", GradientDescentExample.class, "Gradient Descent");
      pgd.addClass("neuralnets", NeuralNetwork.class, "Neural Network classification");


      pgd.addClass("gen", Generator.class, "Random Data Generator Util");
      pgd.driver(args);
    } catch (Throwable e) {
      e.printStackTrace();
    }
  }

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