def cdf_score(x):
idx, cp = cdf(x)
pos = np.array([find_pos(xi, idx) for xi in x])
return cp[pos] * 1. / len(x)
def cdf_score(x):
idx, cp = cdf(x)
pos = np.array([find_pos(xi, idx) for xi in x])
return cp[pos] * 1. / len(x)
def fit(self, X):
'''X is array-like
'''
self.cdf_values, self.cdf_scores = cdf(X, norm_flag=True)
self.minval_ = X.min()
self.maxval_ = X.max()
def fit(self, X):
'''X is array-like
'''
self.cdf_values, self.cdf_scores = cdf(X, norm_flag=True)
self.minval_ = X.min()
self.maxval_ = X.max()
