title: cannot find regression in sklearn.metrics
body: <p>I'm trying to use the following:</p>
  <pre><code>from fireTS.models import NARX, DirectAutoRegressor
  from sklearn.ensemble import RandomForestRegressor
  from xgboost import XGBRegressor
  import numpy as np
  import scipy
  import sklearn
  import pandas as pd
  from sklearn.linear_model import LinearRegression
  import matplotlib.pyplot as plt
  </code></pre>
  <p>However, upon running the first line, an error saying:</p>
  <pre><code>ModuleNotFoundError: No module named 'sklearn.metrics.regression'
  </code></pre>
  <p>Interestingly, I cannot find anything on the web about this problem (even in the  recently asked question in stackoverflow about this 26+ days ago).</p>
  <p>Anyone who have encountered the same and was bale to fix this?</p>
  <p>EDIT:</p>
  <p>SO I FOUND THE FIX.</p>
  <p>I went to the library where my <code>firets</code> is located and clicked <code>models.py.</code></p>
  <p>I changed the following:</p>
  <pre><code>from sklearn.metrics.regression import r2_score, mean_squared_error
  </code></pre>
  <p>to</p>
  <pre><code>from sklearn.metrics import r2_score, mean_squared_error
  </code></pre>
  <p>and hola, NO MORE ERRORS :)</p>