import sklearn from sklearn.linear_model import LinearRegression from sklearn.metrics import r2_score from scipy import stats # Define linear regression function def linear_model(X, a, b): return a * X + b # Fit linear regression linear_reg = LinearRegression() linear_reg.fit(X_linear, y_linear) linear_y_pred = linear_reg.predict(X_linear) linear_r_squared = r2_score(y_linear, linear_y_pred)AttributeError: module 'numpy' has no attribute 'float'. `np.float` was a deprecated alias for the builtin `float`. To avoid this error in existing code, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations