Python Lasso.n_iter_示例

示例#1

def deserialize_lasso_regressor(model_dict):
    model = Lasso(model_dict["params"])
    model.coef_ = np.array(model_dict["coef_"])
    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

示例#2

文件： regression.py 项目： FireFlyTy/datrics-model-json

def deserialize_lasso_regressor(model_dict):
    model = Lasso(model_dict['params'])

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

    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