iMac2021(M1) XGBOOSTでのエラー

前提・実現したいこと

ここに質問の内容を詳しく書いてください。
iMac(M1)でPythonでXGBoostingを実装中に以下のエラーメッセージが発生しました。
「import xgboost as xgb」まではうまくいきましたが、その後の対応がどうにも分かりません。
よろしくお願いします。

発生している問題・エラーメッセージ

--------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-87-d768f88d541e> in <module>
----> 1 model.fit(X_train, y_train)

~/opt/anaconda3/lib/python3.7/site-packages/xgboost/core.py in inner_f(*args, **kwargs)
    496         for k, arg in zip(sig.parameters, args):
    497             kwargs[k] = arg
--> 498         return f(**kwargs)
    499 
    500     return inner_f

~/opt/anaconda3/lib/python3.7/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)
    764             eval_qid=None,
    765             create_dmatrix=lambda **kwargs: DMatrix(nthread=self.n_jobs, **kwargs),
--> 766             enable_categorical=self.enable_categorical,
    767         )
    768         params = self.get_xgb_params()

~/opt/anaconda3/lib/python3.7/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)
    286         feature_weights=feature_weights,
    287         missing=missing,
--> 288         enable_categorical=enable_categorical,
    289     )
    290 

~/opt/anaconda3/lib/python3.7/site-packages/xgboost/sklearn.py in <lambda>(**kwargs)
    763             eval_group=None,
    764             eval_qid=None,
--> 765             create_dmatrix=lambda **kwargs: DMatrix(nthread=self.n_jobs, **kwargs),
    766             enable_categorical=self.enable_categorical,
    767         )

~/opt/anaconda3/lib/python3.7/site-packages/xgboost/core.py in inner_f(*args, **kwargs)
    496         for k, arg in zip(sig.parameters, args):
    497             kwargs[k] = arg
--> 498         return f(**kwargs)
    499 
    500     return inner_f

~/opt/anaconda3/lib/python3.7/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)
    610             feature_names=feature_names,
    611             feature_types=feature_types,
--> 612             enable_categorical=enable_categorical,
    613         )
    614         assert handle is not None

~/opt/anaconda3/lib/python3.7/site-packages/xgboost/data.py in dispatch_data_backend(data, missing, threads, feature_names, feature_types, enable_categorical)
    593     if _is_pandas_df(data):
    594         return _from_pandas_df(data, enable_categorical, missing, threads,
--> 595                                feature_names, feature_types)
    596     if _is_pandas_series(data):
    597         return _from_pandas_series(data, missing, threads, feature_names,

~/opt/anaconda3/lib/python3.7/site-packages/xgboost/data.py in _from_pandas_df(data, enable_categorical, missing, nthread, feature_names, feature_types)
    259         data, enable_categorical, feature_names, feature_types)
    260     return _from_numpy_array(data, missing, nthread, feature_names,
--> 261                              feature_types)
    262 
    263 

~/opt/anaconda3/lib/python3.7/site-packages/xgboost/data.py in _from_numpy_array(data, missing, nthread, feature_names, feature_types)
    159     config = bytes(json.dumps(args), "utf-8")
    160     _check_call(
--> 161         _LIB.XGDMatrixCreateFromDense(
    162             _array_interface(data),
    163             config,

~/opt/anaconda3/lib/python3.7/ctypes/__init__.py in __getattr__(self, name)
    375         if name.startswith('__') and name.endswith('__'):
    376             raise AttributeError(name)
--> 377         func = self.__getitem__(name)
    378         setattr(self, name, func)
    379         return func

~/opt/anaconda3/lib/python3.7/ctypes/__init__.py in __getitem__(self, name_or_ordinal)
    380 
    381     def __getitem__(self, name_or_ordinal):
--> 382         func = self._FuncPtr((name_or_ordinal, self))
    383         if not isinstance(name_or_ordinal, int):
    384             func.__name__ = name_or_ordinal

AttributeError: dlsym(0x7fc15c75f500, XGDMatrixCreateFromDense): symbol not found

該当のソースコード

Python
1model = xgb.XGBRegressor()
2import xgboost as xgb
3(X_train, X_test, y_train, y_test) = train_test_split(x, y, test_size = 0.3, random_state = 666)
4model.fit(X_train, y_train)
5dtrain = xgb.DMatrix(X_train, label = y_train)

試したこと

以下の二つをそれぞれ実行っしてもエラーが出る。
model.fit(X_train, y_train)
dtrain = xgb.DMatrix(X_train, label = y_train)

補足情報（FW/ツールのバージョンなど）

ここにより詳細な情報を記載してください。

jbpb0

2021/10/28 05:30

Google Colabで下記を実行しても、エラー出ずに実行できました from sklearn import datasets from sklearn.model_selection import train_test_split import xgboost as xgb boston = datasets.load_boston() X = boston.data y = boston.target (X_train, X_test, y_train, y_test) = train_test_split(X, y, test_size = 0.3, random_state = 666) model = xgb.XGBRegressor() model.fit(X_train, y_train) > dlsym(0x7fc15c75f500, XGDMatrixCreateFromDense): symbol not found お使いのMacへの「XGboost」のインストールがうまくいってないのではないですかね