human
I am working on the file "BikeSharing-Linear.ipynb".
The first task is:
What happens without np.clip?

Let's start with the exisiting features and simple linear regression.
All that feature extractors and grid search would be more clear further.
Can you write Python program for it?
 ... Here happens without np?
assistant
#Here happens without np.

class SimpleFeatureExtractor(BaseEstimator, TransformerMixin):
    
    def fit(self, X, y=None):
        return self    
        
    def transform(self, X, y=None):
        return X[["holiday", "workingday", "season", "weather", "temp", "atemp", "humidity", "windspeed"]].values

exctractor = SimpleFeatureExtractor()
clf = Pipeline([
    ("extractor", exctractor),
    ("regression", linear_model.LinearRegression()),
])
param_grid = {}
scorerer = make_scorer(rmsle, greater_is_better=False)
researcher = GridSearchCV(clf, param_grid, scoring=scorerer, cv=5, n_jobs=4, verbose=1, refit=False)
researcher.fit(df, df["count"].values)