尝试使用fastai库复制此代码，但遇到了两个主要问题。
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这段代码：
data_lm = TextLMDataBunch.from_df(‘data’, train_df, valid_df, text_cols=’idea’)
会引发如下错误：
---------------------------------------------------------------------------KeyError Traceback (most recent call last)<ipython-input-39-74ec5bcc1e2a> in <module>----> 1 data_lm = TextLMDataBunch.from_df('data', train_df, valid_df, text_cols='idea')~\Anaconda3\lib\site-packages\fastai\text\data.py in from_df(cls, path, train_df, valid_df, test_df, tokenizer, vocab, **kwargs) 325 k_names = ['max_vocab', 'min_freq', 'n_labels', 'txt_cols', 'label_cols', 'clear_cache'] 326 txt_kwargs, kwargs = extract_kwargs(k_names, kwargs)--> 327 train_ds = TextDataset.from_df(path, train_df, tokenizer, 'train', vocab=vocab, **txt_kwargs) 328 datasets = [train_ds, TextDataset.from_df(path, valid_df, tokenizer, 'valid', vocab=train_ds.vocab, **txt_kwargs)] 329 if test_df is not None: datasets.append(TextDataset.from_df(path, test_df, tokenizer, 'test', vocab=train_ds.vocab, **txt_kwargs))~\Anaconda3\lib\site-packages\fastai\text\data.py in from_df(cls, folder, df, tokenizer, name, **kwargs) 150 tokenizer = ifnone(tokenizer, Tokenizer()) 151 chunksize = 1 if (type(df) == DataFrame) else df.chunksize--> 152 return cls(folder, tokenizer, df=df, create_mtd=TextMtd.DF, name=name, chunksize=chunksize, **kwargs) 153 154 @classmethod~\Anaconda3\lib\site-packages\fastai\text\data.py in __init__(self, path, tokenizer, vocab, max_vocab, chunksize, name, df, min_freq, n_labels, txt_cols, label_cols, create_mtd, classes, clear_cache) 35 os.makedirs(self.path, exist_ok=True) 36 if clear_cache: self.clear()---> 37 if not self.check_toks(): self.tokenize() 38 if not self.check_ids(): self.numericalize() 39 ~\Anaconda3\lib\site-packages\fastai\text\data.py in tokenize(self) 86 df = next(dfs) if (type(dfs) == pd.io.parsers.TextFileReader) else self.df 87 lbl_type = np.float32 if len(self.label_cols) > 1 else np.int64---> 88 lbls = df[self.label_cols].values.astype(lbl_type) if (len(self.label_cols) > 0) else [] 89 self.txt_cols = ifnone(self.txt_cols, list(range(len(self.label_cols),len(df.columns)))) 90 texts = f'{FLD} {1} ' + df[self.txt_cols[0]].astype(str)~\Anaconda3\lib\site-packages\pandas\core\frame.py in __getitem__(self, key) 2680 if isinstance(key, (Series, np.ndarray, Index, list)): 2681 # either boolean or fancy integer index-> 2682 return self._getitem_array(key) 2683 elif isinstance(key, DataFrame): 2684 return self._getitem_frame(key)~\Anaconda3\lib\site-packages\pandas\core\frame.py in _getitem_array(self, key) 2724 return self._take(indexer, axis=0) 2725 else:-> 2726 indexer = self.loc._convert_to_indexer(key, axis=1) 2727 return self._take(indexer, axis=1) 2728 ~\Anaconda3\lib\site-packages\pandas\core\indexing.py in _convert_to_indexer(self, obj, axis, is_setter) 1325 if mask.any(): 1326 raise KeyError('{mask} not in index'-> 1327 .format(mask=objarr[mask])) 1328 1329 return com._values_from_object(indexer)KeyError: '[0] not in index'而这段代码：
learn = language_model_learner(data_lm, pretrained_model=URLs.WT103, drop_mult=0.5)learn.fit_one_cycle(1, 1e-2)运行时会引发如下错误：
---------------------------------------------------------------------------NameError Traceback (most recent call last)<ipython-input-37-7b61575a202a> in <module>----> 1 learn = language_model_learner(data_lm, pretrained_model=URLs.WT103, drop_mult=0.5) 2 learn.fit_one_cycle(1, 1e-2)NameError: name 'language_model_learner' is not defined我之前在安装fastai时也遇到了问题，但我不知道具体是什么问题。
回答：
嗯，你的问题是两个月前的了，自那以后这个库经历了很多变化。我认为你的第一个错误是因为你没有指定一个带标签的列，self.labels_cols被设置为[0]，因此它不在你的DataFrame的索引中。我相信自从你发帖后，这种行为已经改变了，现在不指定label_cols应该可以按预期工作。
关于你的第二个问题，language_model_learner在重构之前被调用的方式有所不同。你在尝试使用它时是否使用的是fastai的最新版本？请随意再次测试使用fastai的最新版本，看看是否还会遇到同样的错误。
