Error Trace: Relevant Feature Selection

txt

My Example

x = pd.DataFrame([[1,1,1,1,2,2,2,2,3,3,3,3],[5,6,5,5,4,5,4,3,1,1,2,3]]).T
x.columns=['ID', 'VALUES']
y = pd.DataFrame([7,8,9], index=[1,2,3])

relevant_features =  ts.extract_relevant_features(x, y, column_id='ID')


/.conda/envs/geopandas_python3/lib/python3.5/site-packages/pandas/computation/expressions.py:181: UserWarning: evaluating in Python space because the '*' operator is not supported by numexpr for the bool dtype, use '&' instead
  unsupported[op_str]))
/.conda/envs/geopandas_python3/lib/python3.5/site-packages/pandas/computation/expressions.py:181: UserWarning: evaluating in Python space because the '*' operator is not supported by numexpr for the bool dtype, use '&' instead
  unsupported[op_str]))
/.conda/envs/geopandas_python3/lib/python3.5/site-packages/numpy/lib/function_base.py:2487: RuntimeWarning: Degrees of freedom <= 0 for slice
  warnings.warn("Degrees of freedom <= 0 for slice", RuntimeWarning)
/.conda/envs/geopandas_python3/lib/python3.5/site-packages/scipy/signal/spectral.py:772: UserWarning: nperseg = 256, is greater than input length = 4, using nperseg = 4
  'using nperseg = {1:d}'.format(nperseg, x.shape[-1]))

---------------------------------------------------------------------------
KeyError                                  Traceback (most recent call last)
<ipython-input-54-e59070010ad9> in <module>()
----> 1 relevant_features =  ts.extract_relevant_features(x, y, column_id='ID')

/.conda/envs/geopandas_python3/lib/python3.5/site-packages/tsfresh/convenience/relevant_extraction.py in extract_relevant_features(timeseries_container, y, X, feature_extraction_settings, feature_selection_settings, column_id, column_sort, column_kind, column_value)
     51                              column_id=column_id, column_sort=column_sort,
     52                              column_kind=column_kind, column_value=column_value)
---> 53     X_sel = select_features(X_ext, y, feature_selection_settings=feature_selection_settings)
     54 
     55     if X is None:

/.conda/envs/geopandas_python3/lib/python3.5/site-packages/tsfresh/feature_selection/selection.py in select_features(X, y, feature_selection_settings)
     98         y = pd.Series(y, index=X.index)
     99 
--> 100     df_bh = check_fs_sig_bh(X, y, feature_selection_settings)
    101 
    102     return X.loc[:, df_bh[df_bh.rejected].Feature]

/.conda/envs/geopandas_python3/lib/python3.5/site-packages/tsfresh/feature_selection/feature_selector.py in check_fs_sig_bh(X, y, settings)
     95     # Only allow entries for which the target is known!
     96     y = y.astype(np.float)
---> 97     X = X.copy().loc[~(y == np.NaN), :]
     98 
     99     # Create the DataFrame df_features containing the information about the different hypotheses

/.conda/envs/geopandas_python3/lib/python3.5/site-packages/pandas/core/indexing.py in __getitem__(self, key)
   1292 
   1293         if type(key) is tuple:
-> 1294             return self._getitem_tuple(key)
   1295         else:
   1296             return self._getitem_axis(key, axis=0)

/.conda/envs/geopandas_python3/lib/python3.5/site-packages/pandas/core/indexing.py in _getitem_tuple(self, tup)
    787 
    788         # no multi-index, so validate all of the indexers
--> 789         self._has_valid_tuple(tup)
    790 
    791         # ugly hack for GH #836

/.conda/envs/geopandas_python3/lib/python3.5/site-packages/pandas/core/indexing.py in _has_valid_tuple(self, key)
    140             if i >= self.obj.ndim:
    141                 raise IndexingError('Too many indexers')
--> 142             if not self._has_valid_type(k, i):
    143                 raise ValueError("Location based indexing can only have [%s] "
    144                                  "types" % self._valid_types)

/.conda/envs/geopandas_python3/lib/python3.5/site-packages/pandas/core/indexing.py in _has_valid_type(self, key, axis)
   1377 
   1378                 raise KeyError("None of [%s] are in the [%s]" %
-> 1379                                (key, self.obj._get_axis_name(axis)))
   1380 
   1381             return True

KeyError: 'None of [      0\n1  True\n2  True\n3  True] are in the [index]'