safijari

tomquisel

class VotingClassifier(object):
    """Stripped-down version of VotingClassifier that uses prefit estimators"""
    def __init__(self, estimators, voting='hard', weights=None):
        self.estimators = [e[1] for e in estimators]
        self.named_estimators = dict(estimators)
        self.voting = voting
        self.weights = weights

    def fit(self, X, y, sample_weight=None):
        raise NotImplementedError

tartakynov

import numpy as np
import pylab as pl
from numpy import fft
    
def fourierExtrapolation(x, n_predict):
    n = x.size
    n_harm = 10                     # number of harmonics in model
    t = np.arange(0, n)
    p = np.polyfit(t, x, 1)         # find linear trend in x
    x_notrend = x - p[0] * t        # detrended x