In [3]:

    

# %load ../common_import.py
import numpy as np
import pandas as pd
%matplotlib inline
import matplotlib.pyplot as plt
from sklearn import datasets


    

In [4]:

    

from sklearn.ensemble import RandomForestRegressor
from sklearn.pipeline import Pipeline
from sklearn.preprocessing import Imputer
from sklearn.model_selection import cross_val_score


    

In [5]:

    

rng = np.random.RandomState(0)


    

In [1]:

    

data = datasets.load_boston()
X_full, y_full = data.data, data.target
n_samples = X_full.shape[0]
n_features = y_full.shape[1]


    

    




---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
<ipython-input-1-609b1e875043> in <module>()
----> 1 data = datasets.load_boston()
      2 X_full, y_full = data.data, data.target
      3 n_samples = X_full.shape[0]
      4 n_features = y_full.shape[1]

NameError: name 'datasets' is not defined

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