[flaml.automl: 11-18 22:45:52] {1485} INFO - Data split method: stratified
[flaml.automl: 11-18 22:45:52] {1489} INFO - Evaluation method: cv
[flaml.automl: 11-18 22:45:52] {1540} INFO - Minimizing error metric: 1-roc_auc
[flaml.automl: 11-18 22:45:52] {1577} INFO - List of ML learners in AutoML Run: ['lgbm', 'rf', 'xgboost', 'extra_tree', 'lrl1']
[flaml.automl: 11-18 22:45:52] {1826} INFO - iteration 0, current learner lgbm
[flaml.automl: 11-18 22:45:52] {1943} INFO - Estimated sufficient time budget=1610s. Estimated necessary time budget=27s.
[flaml.automl: 11-18 22:45:52] {2023} INFO -  at 0.2s,  estimator lgbm's best error=0.5000,     best estimator lgbm's best error=0.5000
[flaml.automl: 11-18 22:45:52] {1826} INFO - iteration 1, current learner lgbm
[flaml.automl: 11-18 22:45:52] {2023} INFO -  at 0.2s,  estimator lgbm's best error=0.5000,     best estimator lgbm's best error=0.5000
[flaml.automl: 11-18 22:45:52] {1826} INFO - iteration 2, current learner lgbm
[flaml.automl: 11-18 22:45:52] {2023} INFO -  at 0.3s,  estimator lgbm's best error=0.5000,     best estimator lgbm's best error=0.5000
[flaml.automl: 11-18 22:45:52] {1826} INFO - iteration 3, current learner lgbm
[flaml.automl: 11-18 22:45:52] {2023} INFO -  at 0.3s,  estimator lgbm's best error=0.5000,     best estimator lgbm's best error=0.5000
[flaml.automl: 11-18 22:45:52] {1826} INFO - iteration 4, current learner lgbm
[flaml.automl: 11-18 22:45:52] {2023} INFO -  at 0.4s,  estimator lgbm's best error=0.5000,     best estimator lgbm's best error=0.5000
[flaml.automl: 11-18 22:45:52] {1826} INFO - iteration 5, current learner lgbm
[flaml.automl: 11-18 22:45:52] {2023} INFO -  at 0.4s,  estimator lgbm's best error=0.5000,     best estimator lgbm's best error=0.5000
[flaml.automl: 11-18 22:45:52] {1826} INFO - iteration 6, current learner lgbm
[flaml.automl: 11-18 22:45:52] {2023} INFO -  at 0.5s,  estimator lgbm's best error=0.5000,     best estimator lgbm's best error=0.5000
[flaml.automl: 11-18 22:45:52] {1826} INFO - iteration 7, current learner xgboost
Traceback (most recent call last):
  File "c:\Users\froze\Desktop\gestures\trainer.py", line 42, in <module>
    automl.fit(dataframe=df, label='target', **automl_settings)
  File "C:\Users\froze\AppData\Local\Programs\Python\Python39\lib\site-packages\flaml\automl.py", line 1603, in fit
    self._search()
  File "C:\Users\froze\AppData\Local\Programs\Python\Python39\lib\site-packages\flaml\automl.py", line 2119, in _search
    self._search_sequential()
  File "C:\Users\froze\AppData\Local\Programs\Python\Python39\lib\site-packages\flaml\automl.py", line 1912, in _search_sequential
  File "C:\Users\froze\AppData\Local\Programs\Python\Python39\lib\site-packages\xgboost\core.py", line 422, in inner_f
    return f(**kwargs)
  File "C:\Users\froze\AppData\Local\Programs\Python\Python39\lib\site-packages\xgboost\sklearn.py", line 909, in fit
    self._Booster = train(xgb_options, train_dmatrix,
  File "C:\Users\froze\AppData\Local\Programs\Python\Python39\lib\site-packages\xgboost\training.py", line 227, in train
    bst = _train_internal(params, dtrain,
  File "C:\Users\froze\AppData\Local\Programs\Python\Python39\lib\site-packages\xgboost\training.py", line 102, in _train_internal
    bst.update(dtrain, i, obj)
  File "C:\Users\froze\AppData\Local\Programs\Python\Python39\lib\site-packages\xgboost\core.py", line 1280, in update
    _check_call(_LIB.XGBoosterUpdateOneIter(self.handle,
  File "C:\Users\froze\AppData\Local\Programs\Python\Python39\lib\site-packages\xgboost\core.py", line 189, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [22:45:52] C:/Users/Administrator/workspace/xgboost-win64_release_1.3.0/src/learner.cc:567: Check failed: mparam_.num_feature != 0 (0 vs. 0) : 0 feature is supplied.  Are you using raw Booster interface?