Examples of cc.mallet.types.InstanceList.split()

cc.mallet.types.InstanceList.split()
Shuffles the elements of this list among several smaller lists. @param proportions A list of numbers (not necessarily summing to 1) which,when normalized, correspond to the proportion of elements in each returned sublist. This method (and all the split methods) do not transfer the Instance weights to the resulting InstanceLists. @param r The source of randomness to use in shuffling. @return one InstanceList for each element of proportions

                                 Pattern.compile("^\\s*$"), true));
        }
        else {
          Random r = new Random (randomSeedOption.value);
          InstanceList[] trainingLists =
            trainingData.split(r, new double[] {trainingFractionOption.value,
                              1 - trainingFractionOption.value});
          trainingData = trainingLists[0];
          testData = trainingLists[1];
        }
      }

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                Pattern.compile("^\\s*$"), true));
        } else
        {
          Random r = new Random (randomSeedOption.value);
          InstanceList[] trainingLists =
            trainingData.split(
                r, new double[] {trainingFractionOption.value,
                  1-trainingFractionOption.value});
          trainingData = trainingLists[0];
          testData = trainingLists[1];
        }

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        } 
        else
        {
          Random r = new Random (randomSeedOption.value);
          InstanceList[] trainingLists =
            trainingData.split(
                r, new double[] {trainingFractionOption.value,
                  1-trainingFractionOption.value});
          trainingData = trainingLists[0];
          testData = trainingLists[1];
        }

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        } 
        else
        {
          Random r = new Random (randomSeedOption.value);
          InstanceList[] trainingLists =
            trainingData.split(
                r, new double[] {trainingFractionOption.value,
                  1-trainingFractionOption.value});
          trainingData = trainingLists[0];
          testData = trainingLists[1];
        }

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