Exemple #1
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 def f():
     fit = BinaryLogisticRegressionFitter(
         C=1.0/len(X),
         hasIntercept=True,
         method=method
         ).fit(X, y)
     return fit.predict_probability(X)
Exemple #2
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 def f():
     fit = BinaryLogisticRegressionFitter(
         C=1.0/len(X),
         hasIntercept=True,
         method=method
         ).fit(X, y)
     return fit.score(X, y)
Exemple #3
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 def f():
     fit = BinaryLogisticRegressionFitter(1).fit(X, y)
     return fit.score(X, y)
Exemple #4
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 def f():
     fit = BinaryLogisticRegressionFitter(1).fit(X, y)
     return fit.predict(X)
Exemple #5
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 def f():
     fit = BinaryLogisticRegressionFitter(1).fit(X, y)
     return fit.intercept, fit.coefficients
Exemple #6
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 def f():
     fit = BinaryLogisticRegressionFitter(C=1.0 / len(X),
                                          hasIntercept=True,
                                          method=method).fit(X, y)
     return fit.predict(X)
Exemple #7
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 def f():
     fit = BinaryLogisticRegressionFitter(C=1.0 / len(X),
                                          hasIntercept=True,
                                          method=method).fit(X, y)
     return fit.intercept, fit.coefficients
Exemple #8
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 def f():
     fit = BinaryLogisticRegressionFitter(1).fit(X, y)
     return fit.predict(X)
Exemple #9
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 def f():
     fit = BinaryLogisticRegressionFitter(1).fit(X, y)
     return fit.score(X, y)