Python ElasticNet.intercept_の例

コード例 #1

def deserialize_elastic_regressor(model_dict):
    model = ElasticNet(model_dict["params"])
    model.coef_ = np.array(model_dict["coef_"])
    model.alpha = np.array(model_dict["alpha"]).astype(np.float)
    if isinstance(model_dict["n_iter_"], list):
        model.n_iter_ = np.array(model_dict["n_iter_"])
    else:
        model.n_iter_ = int(model_dict["n_iter_"])

    if isinstance(model_dict["intercept_"], list):
        model.intercept_ = np.array(model_dict["intercept_"])
    else:
        model.intercept_ = float(model_dict["intercept_"])

    return model

コード例 #2

ファイル: regression.py プロジェクト: FireFlyTy/datrics-model-json

def deserialize_elastic_regressor(model_dict):
    model = ElasticNet(model_dict['params'])

    model.coef_ = np.array(model_dict['coef_'])
    model.alpha = np.array(model_dict['alpha']).astype(np.float)

    if isinstance(model_dict['n_iter_'], list):
        model.n_iter_ = np.array(model_dict['n_iter_'])
    else:
        model.n_iter_ = int(model_dict['n_iter_'])

    if isinstance(model_dict['intercept_'], list):
        model.intercept_ = np.array(model_dict['intercept_'])
    else:
        model.intercept_ = float(model_dict['intercept_'])

    return model