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Update example_sklearn.py #13

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Update example_sklearn.py #13

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Commits on Jul 20, 2015

  1. Update example_sklearn.py 

    y must be a binary list, otherwise will result in an error:

    [DEBUG] No existing model file or not options.incremental
    [DEBUG] Running command: "vw --learning_rate=10.000000 --l2=0.000010 --loss_function=logistic --passes 10 --cache_file /Users/datle/Desktop/example_sklearn.cache -f /Users/datle/Desktop/example_sklearn.model"
    [DEBUG] Running command: "vw --learning_rate=10.000000 --l2=0.000010 --loss_function=logistic -t -i /Users/datle/Desktop/example_sklearn.model -p /Users/datle/Desktop/example_sklearn.predictiond9d1DV"
    Traceback (most recent call last):
      File "test.py", line 72, in <module>
        main()
      File "test.py", line 58, in main
        ).fit(X_train, y_train)
      File "/Library/Python/2.7/site-packages/sklearn/grid_search.py", line 732, in fit
        return self._fit(X, y, ParameterGrid(self.param_grid))
      File "/Library/Python/2.7/site-packages/sklearn/grid_search.py", line 505, in _fit
        for parameters in parameter_iterable
      File "/Library/Python/2.7/site-packages/sklearn/externals/joblib/parallel.py", line 659, in __call__
        self.dispatch(function, args, kwargs)
      File "/Library/Python/2.7/site-packages/sklearn/externals/joblib/parallel.py", line 406, in dispatch
        job = ImmediateApply(func, args, kwargs)
      File "/Library/Python/2.7/site-packages/sklearn/externals/joblib/parallel.py", line 140, in __init__
        self.results = func(*args, **kwargs)
      File "/Library/Python/2.7/site-packages/sklearn/cross_validation.py", line 1478, in _fit_and_score
        test_score = _score(estimator, X_test, y_test, scorer)
      File "/Library/Python/2.7/site-packages/sklearn/cross_validation.py", line 1534, in _score
        score = scorer(estimator, X_test, y_test)
      File "/Library/Python/2.7/site-packages/sklearn/metrics/scorer.py", line 201, in _passthrough_scorer
        return estimator.score(*args, **kwargs)
      File "/Library/Python/2.7/site-packages/sklearn/base.py", line 295, in score
        return accuracy_score(y, self.predict(X), sample_weight=sample_weight)
      File "/Library/Python/2.7/site-packages/sklearn/metrics/classification.py", line 179, in accuracy_score
        y_type, y_true, y_pred = _check_targets(y_true, y_pred)
      File "/Library/Python/2.7/site-packages/sklearn/metrics/classification.py", line 84, in _check_targets
        "".format(type_true, type_pred))
    ValueError: Can't handle mix of binary and continuous
    @lenguyenthedat
    lenguyenthedat committed Jul 20, 2015
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