# 5 examples of 'sklearn linear regression get coefficients' in Python

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``53def coefficient_for_category(predictors, category):54  predictor = [p for p in predictors if p.get('value') == category]5556  if not predictor:57    return 05859  return float(predictor[0].get('coefficient'))``
``84def _calculate_coefficients(self):85    return self._coefficients``
``138@property139def coef_(self):140    return self.clf_.coef_``
``1017@property1018def coef_(self):1019    """1020    Get the model's coefficients on the covariates.10211022    Returns1023    -------1024    coef_ : {(d,), (p, d)} nd array like1025        The coefficients of the variables in the linear regression. If label y1026        was p-dimensional, then the result is a matrix of coefficents, whose p-th1027        row containts the coefficients corresponding to the p-th coordinate of the label.1028    """1029    if self.fit_intercept:1030        if self._n_out == 0:1031            return self._param[1:]1032        else:1033            return self._param[1:].T1034    else:1035        if self._n_out == 0:1036            return self._param1037        else:1038            return self._param.T``
``87def calc_linear_regression(coeff, x):88    result = 089    for i in range(1, len(coeff)):90        result += x[i - 1] * coeff[i]9192    result += coeff[0]93    return result``