

def fit(self, y):
    'fit the training explanatory variables to a sample ouput variable'
    self.parest = np.dot(y.Kinv, y)
    yhat = np.dot(self.distxsample, self.parest)
    return yhat

dataset/ETHPy150Open statsmodels/statsmodels/statsmodels/sandbox/regression/kernridgeregress_class.py GaussProcess.fit/VarMisuse@22/48 `self`->`y`