AttributeError Traceback (most recent call last)
File ~\.conda\envs\eli5-pip\lib\site-packages\IPython\core\formatters.py:973, in MimeBundleFormatter.__call__(self, obj, include, exclude)
970 method = get_real_method(obj, self.print_method)
972 if method is not None:
--> 973 return method(include=include, exclude=exclude)
974 return None
975 else:
File ~\.conda\envs\eli5-pip\lib\site-packages\sklearn\base.py:629, in BaseEstimator._repr_mimebundle_(self, **kwargs)
627 def _repr_mimebundle_(self, **kwargs):
628 """Mime bundle used by jupyter kernels to display estimator"""
--> 629 output = {"text/plain": repr(self)}
630 if get_config()["display"] == "diagram":
631 output["text/html"] = estimator_html_repr(self)
File ~\.conda\envs\eli5-pip\lib\site-packages\sklearn\base.py:279, in BaseEstimator.__repr__(self, N_CHAR_MAX)
271 # use ellipsis for sequences with a lot of elements
272 pp = _EstimatorPrettyPrinter(
273 compact=True,
274 indent=1,
275 indent_at_name=True,
276 n_max_elements_to_show=N_MAX_ELEMENTS_TO_SHOW,
277 )
--> 279 repr_ = pp.pformat(self)
281 # Use bruteforce ellipsis when there are a lot of non-blank characters
282 n_nonblank = len("".join(repr_.split()))
File ~\.conda\envs\eli5-pip\lib\pprint.py:157, in PrettyPrinter.pformat(self, object)
155 def pformat(self, object):
156 sio = _StringIO()
--> 157 self._format(object, sio, 0, 0, {}, 0)
158 return sio.getvalue()
File ~\.conda\envs\eli5-pip\lib\pprint.py:174, in PrettyPrinter._format(self, object, stream, indent, allowance, context, level)
172 self._readable = False
173 return
--> 174 rep = self._repr(object, context, level)
175 max_width = self._width - indent - allowance
176 if len(rep) > max_width:
File ~\.conda\envs\eli5-pip\lib\pprint.py:454, in PrettyPrinter._repr(self, object, context, level)
453 def _repr(self, object, context, level):
--> 454 repr, readable, recursive = self.format(object, context.copy(),
455 self._depth, level)
456 if not readable:
457 self._readable = False
File ~\.conda\envs\eli5-pip\lib\site-packages\sklearn\utils\_pprint.py:189, in _EstimatorPrettyPrinter.format(self, object, context, maxlevels, level)
188 def format(self, object, context, maxlevels, level):
--> 189 return _safe_repr(
190 object, context, maxlevels, level, changed_only=self._changed_only
191 )
File ~\.conda\envs\eli5-pip\lib\site-packages\sklearn\utils\_pprint.py:452, in _safe_repr(object, context, maxlevels, level, changed_only)
448 for k, v in items:
449 krepr, kreadable, krecur = saferepr(
450 k, context, maxlevels, level, changed_only=changed_only
451 )
--> 452 vrepr, vreadable, vrecur = saferepr(
453 v, context, maxlevels, level, changed_only=changed_only
454 )
455 append("%s=%s" % (krepr.strip("'"), vrepr))
456 readable = readable and kreadable and vreadable
File ~\.conda\envs\eli5-pip\lib\site-packages\sklearn\utils\_pprint.py:440, in _safe_repr(object, context, maxlevels, level, changed_only)
438 recursive = False
439 if changed_only:
--> 440 params = _changed_params(object)
441 else:
442 params = object.get_params(deep=False)
File ~\.conda\envs\eli5-pip\lib\site-packages\sklearn\utils\_pprint.py:93, in _changed_params(estimator)
89 def _changed_params(estimator):
90 """Return dict (param_name: value) of parameters that were given to
91 estimator with non-default values."""
---> 93 params = estimator.get_params(deep=False)
94 init_func = getattr(estimator.__init__, "deprecated_original", estimator.__init__)
95 init_params = inspect.signature(init_func).parameters
File ~\.conda\envs\eli5-pip\lib\site-packages\sklearn\base.py:211, in BaseEstimator.get_params(self, deep)
209 out = dict()
210 for key in self._get_param_names():
--> 211 value = getattr(self, key)
212 if deep and hasattr(value, "get_params"):
213 deep_items = value.get_params().items()
AttributeError: 'MaskingTextSamplers' object has no attribute 'sampler_params'
C:\Users\admin\.conda\envs\eli5-pip\lib\site-packages\sklearn\linear_model\_stochastic_gradient.py:173: FutureWarning: The loss 'log' was deprecated in v1.1 and will be removed in version 1.3. Use `loss='log_loss'` which is equivalent.
warnings.warn(
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\Users\admin\.conda\envs\eli5-pip\lib\site-packages\sklearn\base.py", line 279, in __repr__
repr_ = pp.pformat(self)
File "C:\Users\admin\.conda\envs\eli5-pip\lib\pprint.py", line 157, in pformat
self._format(object, sio, 0, 0, {}, 0)
File "C:\Users\admin\.conda\envs\eli5-pip\lib\pprint.py", line 174, in _format
rep = self._repr(object, context, level)
File "C:\Users\admin\.conda\envs\eli5-pip\lib\pprint.py", line 454, in _repr
repr, readable, recursive = self.format(object, context.copy(),
File "C:\Users\admin\.conda\envs\eli5-pip\lib\site-packages\sklearn\utils\_pprint.py", line 189, in format
return _safe_repr(
File "C:\Users\admin\.conda\envs\eli5-pip\lib\site-packages\sklearn\utils\_pprint.py", line 452, in _safe_repr
vrepr, vreadable, vrecur = saferepr(
File "C:\Users\admin\.conda\envs\eli5-pip\lib\site-packages\sklearn\utils\_pprint.py", line 440, in _safe_repr
params = _changed_params(object)
File "C:\Users\admin\.conda\envs\eli5-pip\lib\site-packages\sklearn\utils\_pprint.py", line 93, in _changed_params
params = estimator.get_params(deep=False)
File "C:\Users\admin\.conda\envs\eli5-pip\lib\site-packages\sklearn\base.py", line 211, in get_params
value = getattr(self, key)
AttributeError: 'MaskingTextSamplers' object has no attribute 'sampler_params'
This seems to be more of an issue relating to sklearn rather than to eli5 itself. However, an easy fix would be to include the sampler_params as an attribute in the MaskingTextSamplers class.
Do let me know if there is something that I have done wrong here.
When using the default values for TextExplainer, it fails reutrning:
Or alternative non jupyter run:
This seems to be more of an issue relating to sklearn rather than to eli5 itself. However, an easy fix would be to include the sampler_params as an attribute in the MaskingTextSamplers class.
Do let me know if there is something that I have done wrong here.