def f():
fit = BinaryLogisticRegressionFitter(
C=1.0/len(X),
hasIntercept=True,
method=method
).fit(X, y)
return fit.predict_probability(X)
def f():
fit = BinaryLogisticRegressionFitter(
C=1.0/len(X),
hasIntercept=True,
method=method
).fit(X, y)
return fit.score(X, y)
def f():
fit = BinaryLogisticRegressionFitter(1).fit(X, y)
return fit.score(X, y)
def f():
fit = BinaryLogisticRegressionFitter(1).fit(X, y)
return fit.predict(X)
def f():
fit = BinaryLogisticRegressionFitter(1).fit(X, y)
return fit.intercept, fit.coefficients
def f():
fit = BinaryLogisticRegressionFitter(C=1.0 / len(X),
hasIntercept=True,
method=method).fit(X, y)
return fit.predict(X)
def f():
fit = BinaryLogisticRegressionFitter(C=1.0 / len(X),
hasIntercept=True,
method=method).fit(X, y)
return fit.intercept, fit.coefficients
def f():
fit = BinaryLogisticRegressionFitter(1).fit(X, y)
return fit.predict(X)
def f():
fit = BinaryLogisticRegressionFitter(1).fit(X, y)
return fit.score(X, y)