I am getting the following error after reinstalling GXBoost. Please Help.
xgb = XGBClassifier(random_state=1, eval_metric=‘logloss’)
xgb.fit(X_train,y_train)
AttributeError Traceback (most recent call last)
in
1 xgb = XGBClassifier(random_state=1, eval_metric=‘logloss’)
----> 2 xgb.fit(X_train,y_train)
/opt/anaconda3/lib/python3.8/site-packages/xgboost/core.py in inner_f(*args, **kwargs)
504 for k, arg in zip(sig.parameters, args):
505 kwargs[k] = arg
–> 506 return f(**kwargs)
507
508 return inner_f
/opt/anaconda3/lib/python3.8/site-packages/xgboost/sklearn.py in fit(self, X, y, sample_weight, base_margin, eval_set, eval_metric, early_stopping_rounds, verbose, xgb_model, sample_weight_eval_set, base_margin_eval_set, feature_weights, callbacks)
1229
1230 model, feval, params = self._configure_fit(xgb_model, eval_metric, params)
-> 1231 train_dmatrix, evals = _wrap_evaluation_matrices(
1232 missing=self.missing,
1233 X=X,
/opt/anaconda3/lib/python3.8/site-packages/xgboost/sklearn.py in _wrap_evaluation_matrices(missing, X, y, group, qid, sample_weight, base_margin, feature_weights, eval_set, sample_weight_eval_set, base_margin_eval_set, eval_group, eval_qid, create_dmatrix, enable_categorical, label_transform)
284
285 “”"
–> 286 train_dmatrix = create_dmatrix(
287 data=X,
288 label=label_transform(y),
/opt/anaconda3/lib/python3.8/site-packages/xgboost/sklearn.py in (**kwargs)
1243 eval_group=None,
1244 eval_qid=None,
-> 1245 create_dmatrix=lambda **kwargs: DMatrix(nthread=self.n_jobs, **kwargs),
1246 enable_categorical=self.enable_categorical,
1247 label_transform=label_transform,
/opt/anaconda3/lib/python3.8/site-packages/xgboost/core.py in inner_f(*args, **kwargs)
504 for k, arg in zip(sig.parameters, args):
505 kwargs[k] = arg
–> 506 return f(**kwargs)
507
508 return inner_f
/opt/anaconda3/lib/python3.8/site-packages/xgboost/core.py in init(self, data, label, weight, base_margin, missing, silent, feature_names, feature_types, nthread, group, qid, label_lower_bound, label_upper_bound, feature_weights, enable_categorical)
614 return
615
–> 616 handle, feature_names, feature_types = dispatch_data_backend(
617 data,
618 missing=self.missing,
/opt/anaconda3/lib/python3.8/site-packages/xgboost/data.py in dispatch_data_backend(data, missing, threads, feature_names, feature_types, enable_categorical)
705 return _from_tuple(data, missing, threads, feature_names, feature_types)
706 if _is_pandas_df(data):
–> 707 return _from_pandas_df(data, enable_categorical, missing, threads,
708 feature_names, feature_types)
709 if _is_pandas_series(data):
/opt/anaconda3/lib/python3.8/site-packages/xgboost/data.py in _from_pandas_df(data, enable_categorical, missing, nthread, feature_names, feature_types)
297 data, feature_names, feature_types = _transform_pandas_df(
298 data, enable_categorical, feature_names, feature_types)
–> 299 return _from_numpy_array(data, missing, nthread, feature_names,
300 feature_types)
301
/opt/anaconda3/lib/python3.8/site-packages/xgboost/data.py in _from_numpy_array(data, missing, nthread, feature_names, feature_types)
177 config = bytes(json.dumps(args), “utf-8”)
178 _check_call(
–> 179 _LIB.XGDMatrixCreateFromDense(
180 _array_interface(data),
181 config,
/opt/anaconda3/lib/python3.8/ctypes/init.py in getattr(self, name)
392 if name.startswith(’’) and name.endswith(’’):
393 raise AttributeError(name)
–> 394 func = self.getitem(name)
395 setattr(self, name, func)
396 return func
/opt/anaconda3/lib/python3.8/ctypes/init.py in getitem(self, name_or_ordinal)
397
398 def getitem(self, name_or_ordinal):
–> 399 func = self._FuncPtr((name_or_ordinal, self))
400 if not isinstance(name_or_ordinal, int):
401 func.name = name_or_ordinal
AttributeError: dlsym(0x20215b0a0, XGDMatrixCreateFromDense): symbol not found