'AttributeError: 'CRF' object has no attribute 'keep_tempfiles'
I am currently trying to replicate certain methods from this blog https://towardsdatascience.com/named-entity-recognition-and-classification-with-scikit-learn-f05372f07ba2 using the crfsuite library which is supposed to have an attribute called keep_tempfiles = False
as shown in https://sklearn-crfsuite.readthedocs.io/en/latest/_modules/sklearn_crfsuite/estimator.html.
However, when I run this piece of code in my jupyter notebook
crf = sklearn_crfsuite.CRF(algorithm='lbfgs',c1=0.1,c2=0.1,max_iterations=100,all_possible_transitions=True)
crf.fit(X_train, y_train)
I get the following error
AttributeError Traceback (most recent call last)
/usr/lib/python3/dist-packages/IPython/core/formatters.py in __call__(self, obj, include, exclude)
968
969 if method is not None:
--> 970 return method(include=include, exclude=exclude)
971 return None
972 else:
~/.local/lib/python3.8/site-packages/sklearn/base.py in _repr_mimebundle_(self, **kwargs)
462 def _repr_mimebundle_(self, **kwargs):
463 """Mime bundle used by jupyter kernels to display estimator"""
--> 464 output = {"text/plain": repr(self)}
465 if get_config()["display"] == 'diagram':
466 output["text/html"] = estimator_html_repr(self)
~/.local/lib/python3.8/site-packages/sklearn/base.py in __repr__(self, N_CHAR_MAX)
258 n_max_elements_to_show=N_MAX_ELEMENTS_TO_SHOW)
259
--> 260 repr_ = pp.pformat(self)
261
262 # Use bruteforce ellipsis when there are a lot of non-blank characters
/usr/lib/python3.8/pprint.py in pformat(self, object)
151 def pformat(self, object):
152 sio = _StringIO()
--> 153 self._format(object, sio, 0, 0, {}, 0)
154 return sio.getvalue()
155
/usr/lib/python3.8/pprint.py in _format(self, object, stream, indent, allowance, context, level)
168 self._readable = False
169 return
--> 170 rep = self._repr(object, context, level)
171 max_width = self._width - indent - allowance
172 if len(rep) > max_width:
/usr/lib/python3.8/pprint.py in _repr(self, object, context, level)
402
403 def _repr(self, object, context, level):
--> 404 repr, readable, recursive = self.format(object, context.copy(),
405 self._depth, level)
406 if not readable:
~/.local/lib/python3.8/site-packages/sklearn/utils/_pprint.py in format(self, object, context, maxlevels, level)
178
179 def format(self, object, context, maxlevels, level):
--> 180 return _safe_repr(object, context, maxlevels, level,
181 changed_only=self._changed_only)
182
~/.local/lib/python3.8/site-packages/sklearn/utils/_pprint.py in _safe_repr(object, context, maxlevels, level, changed_only)
423 recursive = False
424 if changed_only:
--> 425 params = _changed_params(object)
426 else:
427 params = object.get_params(deep=False)
~/.local/lib/python3.8/site-packages/sklearn/utils/_pprint.py in _changed_params(estimator)
89 estimator with non-default values."""
90
---> 91 params = estimator.get_params(deep=False)
92 init_func = getattr(estimator.__init__, 'deprecated_original',
93 estimator.__init__)
~/.local/lib/python3.8/site-packages/sklearn/base.py in get_params(self, deep)
193 out = dict()
194 for key in self._get_param_names():
--> 195 value = getattr(self, key)
196 if deep and hasattr(value, 'get_params'):
197 deep_items = value.get_params().items()
AttributeError: 'CRF' object has no attribute 'keep_tempfiles'
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
/usr/lib/python3/dist-packages/IPython/core/formatters.py in __call__(self, obj)
700 type_pprinters=self.type_printers,
701 deferred_pprinters=self.deferred_printers)
--> 702 printer.pretty(obj)
703 printer.flush()
704 return stream.getvalue()
/usr/lib/python3/dist-packages/IPython/lib/pretty.py in pretty(self, obj)
392 if cls is not object \
393 and callable(cls.__dict__.get('__repr__')):
--> 394 return _repr_pprint(obj, self, cycle)
395
396 return _default_pprint(obj, self, cycle)
/usr/lib/python3/dist-packages/IPython/lib/pretty.py in _repr_pprint(obj, p, cycle)
682 """A pprint that just redirects to the normal repr function."""
683 # Find newlines and replace them with p.break_()
--> 684 output = repr(obj)
685 lines = output.splitlines()
686 with p.group():
~/.local/lib/python3.8/site-packages/sklearn/base.py in __repr__(self, N_CHAR_MAX)
258 n_max_elements_to_show=N_MAX_ELEMENTS_TO_SHOW)
259
--> 260 repr_ = pp.pformat(self)
261
262 # Use bruteforce ellipsis when there are a lot of non-blank characters
/usr/lib/python3.8/pprint.py in pformat(self, object)
151 def pformat(self, object):
152 sio = _StringIO()
--> 153 self._format(object, sio, 0, 0, {}, 0)
154 return sio.getvalue()
155
/usr/lib/python3.8/pprint.py in _format(self, object, stream, indent, allowance, context, level)
168 self._readable = False
169 return
--> 170 rep = self._repr(object, context, level)
171 max_width = self._width - indent - allowance
172 if len(rep) > max_width:
/usr/lib/python3.8/pprint.py in _repr(self, object, context, level)
402
403 def _repr(self, object, context, level):
--> 404 repr, readable, recursive = self.format(object, context.copy(),
405 self._depth, level)
406 if not readable:
~/.local/lib/python3.8/site-packages/sklearn/utils/_pprint.py in format(self, object, context, maxlevels, level)
178
179 def format(self, object, context, maxlevels, level):
--> 180 return _safe_repr(object, context, maxlevels, level,
181 changed_only=self._changed_only)
182
~/.local/lib/python3.8/site-packages/sklearn/utils/_pprint.py in _safe_repr(object, context, maxlevels, level, changed_only)
423 recursive = False
424 if changed_only:
--> 425 params = _changed_params(object)
426 else:
427 params = object.get_params(deep=False)
~/.local/lib/python3.8/site-packages/sklearn/utils/_pprint.py in _changed_params(estimator)
89 estimator with non-default values."""
90
---> 91 params = estimator.get_params(deep=False)
92 init_func = getattr(estimator.__init__, 'deprecated_original',
93 estimator.__init__)
~/.local/lib/python3.8/site-packages/sklearn/base.py in get_params(self, deep)
193 out = dict()
194 for key in self._get_param_names():
--> 195 value = getattr(self, key)
196 if deep and hasattr(value, 'get_params'):
197 deep_items = value.get_params().items()
AttributeError: 'CRF' object has no attribute 'keep_tempfiles'
Any ideas?
Solution 1:[1]
- related issue on github : https://github.com/TeamHG-Memex/sklearn-crfsuite/issues/60
Solution 2:[2]
You can simply pass the error, the prediction should still work.
try:
crf.fit(X_train, y_train)
except AttributeError:
pass
predictions = crf.predict(X_test)
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
Solution | Source |
---|---|
Solution 1 | stray.leone |
Solution 2 | Oguzhan |