AttributeError: 'DensityFeatures' object has no attribute 'desired_features'

[pbenner]

The following holds for DensityFeatures and GlobalSymmetryFeatures:

>>> import matminer
>>> matminer.__version__
'0.7.8'
>>> from matminer.featurizers.structure import DensityFeatures
>>> d = DensityFeatures()
>>> d
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/pbenner/.local/opt/anaconda3/lib/python3.8/site-packages/sklearn/base.py", line 279, in __repr__
    repr_ = pp.pformat(self)
  File "/home/pbenner/.local/opt/anaconda3/lib/python3.8/pprint.py", line 153, in pformat
    self._format(object, sio, 0, 0, {}, 0)
  File "/home/pbenner/.local/opt/anaconda3/lib/python3.8/pprint.py", line 170, in _format
    rep = self._repr(object, context, level)
  File "/home/pbenner/.local/opt/anaconda3/lib/python3.8/pprint.py", line 404, in _repr
    repr, readable, recursive = self.format(object, context.copy(),
  File "/home/pbenner/.local/opt/anaconda3/lib/python3.8/site-packages/sklearn/utils/_pprint.py", line 189, in format
    return _safe_repr(
  File "/home/pbenner/.local/opt/anaconda3/lib/python3.8/site-packages/sklearn/utils/_pprint.py", line 440, in _safe_repr
    params = _changed_params(object)
  File "/home/pbenner/.local/opt/anaconda3/lib/python3.8/site-packages/sklearn/utils/_pprint.py", line 93, in _changed_params
    params = estimator.get_params(deep=False)
  File "/home/pbenner/.local/opt/anaconda3/lib/python3.8/site-packages/sklearn/base.py", line 211, in get_params
    value = getattr(self, key)
AttributeError: 'DensityFeatures' object has no attribute 'desired_features'

Bugfix:

>>> d.desired_features=d.features
>>> d
DensityFeatures(desired_features=['density', 'vpa', 'packing fraction'])

[ml-evs]

Also running into this and would appreciate a fix; this seems to be our only compat failure when upgrading from 0.6.5 -> 0.7.8.

Underlying issue is that the scikit-learn __repr__ now tries to introspect child classes when making pretty output, could just override this with a __repr__ on matminer's BaseFeaturizer to avoid having to exhaustively test all featurizers.