C:\Users\Pooja\anaconda3\Lib\site-packages\h2o\frame.py:1981: H2ODependencyWarning: Converting H2O frame to pandas dataframe using single-thread. For faster conversion using multi-thread, install polars and pyarrow and use it as pandas_df = h2o_df.as_data_frame(use_multi_thread=True) warnings.warn("Converting H2O frame to pandas dataframe using single-thread. For faster conversion using"---------------------------------------------------------------------------AttributeError Traceback (most recent call last)~\AppData\Local\Temp\ipykernel_312\1050489596.py in ?() 1 test_df=test.as_data_frame()----> 2 preds_df=pred_df.as_data_frame()~\anaconda3\Lib\site-packages\pandas\core\generic.py in ?(self, name) 6295 and name not in self._accessors 6296 and self._info_axis._can_hold_identifiers_and_holds_name(name) 6297 ): 6298 return self[name]-> 6299 return object.__getattribute__(self, name)AttributeError: 'DataFrame' object has no attribute 'as_data_frame'

H2OValueError Traceback (most recent call last)Cell In[23], line 1----> 1 df=pd.DataFrame(data)File ~\anaconda3\Lib\site-packages\pandas\core\frame.py:737, in DataFrame.__init__(self, data, index, columns, dtype, copy) 734 manager = _get_option("mode.data_manager", silent=True) 736 is_pandas_object = isinstance(data, (Series, Index, ExtensionArray))--> 737 data_dtype = getattr(data, "dtype", None) 738 original_dtype = dtype 740 # GH47215File ~\anaconda3\Lib\site-packages\h2o\frame.py:387, in H2OFrame.dtype(self) 379 """ 380 Returns the numpy.dtype of the first column of this data frame. 381 Works only for single-column data frames. (...) 384 :returns: Numpy dtype of the first column 385 """ 386 if not len(self.columns) == 1:--> 387 raise H2OValueError("dtype is only supported for one column frames") 388 if not can_use_numpy(): 389 raise ImportError("H2OFrame.dtype function requires numpy to be installed")H2OValueError: dtype is only supported for one column frames

TypeError Traceback (most recent call last)Cell In[27], line 1----> 1 aml=H2OAutoML(max_model=10,seed=1) 2 aml.train(x=x,y=y,training_frame=train)File ~\anaconda3\Lib\site-packages\h2o\automl\_estimator.py:307, in H2OAutoML.__init__(self, nfolds, balance_classes, class_sampling_factors, max_after_balance_size, max_runtime_secs, max_runtime_secs_per_model, max_models, distribution, stopping_metric, stopping_tolerance, stopping_rounds, seed, project_name, exclude_algos, include_algos, exploitation_ratio, modeling_plan, preprocessing, monotone_constraints, keep_cross_validation_predictions, keep_cross_validation_models, keep_cross_validation_fold_assignment, sort_metric, custom_metric_func, export_checkpoints_dir, verbosity, **kwargs) 305 algo_parameters = kwargs[k] or {} 306 else:--> 307 raise TypeError("H2OAutoML got an unexpected keyword argument '%s'" % k) 309 # Check if H2O jar contains AutoML 310 try:TypeError: H2OAutoML got an unexpected keyword a

TypeError Traceback (most recent call last)/tmp/ipykernel_75554/2407783795.py in <module> 1 # test your code 2 hf.init_stats----> 3 hf.increase_intel([20, 40, 40, 20]) 4 hf.increase_stamina([20, 40, 40, 20]) 5 hf.increase_speed([100, 40, 40, 20])~/Lab6_1002/hack_funcs/hack_funcs.py in increase_intel(list1) 5 #your code 6 if list1[0] < 100:----> 7 list1[0] += 10 8 9 return list1TypeError: 'int' object is not subscriptable

TypeError Traceback (most recent call last)/tmp/ipykernel_75554/2407783795.py in <module> 1 # test your code 2 hf.init_stats----> 3 hf.increase_intel([20, 40, 40, 20]) 4 hf.increase_stamina([20, 40, 40, 20]) 5 hf.increase_speed([100, 40, 40, 20])~/Lab6_1002/hack_funcs/hack_funcs.py in increase_intel(list1) 5 #your code 6 if int(list1[0]) < 100:----> 7 int(list1[0]) += 10 8 9 return list1TypeError: 'int' object is not subscriptable

TypeError Traceback (most recent call last)/tmp/ipykernel_75554/2407783795.py in <module> 1 # test your code 2 hf.init_stats----> 3 hf.increase_intel([20, 40, 40, 20]) 4 hf.increase_stamina([20, 40, 40, 20]) 5 hf.increase_speed([100, 40, 40, 20])~/Lab6_1002/hack_funcs/hack_funcs.py in increase_intel(list1) 5 #your code 6 if init_stats[0] < 100:----> 7 init_stats[0] += 10 8 9 return list1TypeError: 'int' object is not subscriptable