from fastai.gen_doc.nbdoc import *
from fastai.text import * 
from fastai import *

show_doc(language_model_learner, doc_string=False)

path = untar_data(URLs.IMDB_SAMPLE)
data = TextLMDataBunch.from_csv(path, 'texts.csv')
learn = language_model_learner(data, pretrained_model=URLs.WT103, drop_mult=0.5)

show_doc(text_classifier_learner, doc_string=False)

path = untar_data(URLs.IMDB_SAMPLE)
data = TextClasDataBunch.from_csv(path, 'texts.csv')
learn = text_classifier_learner(data, drop_mult=0.5)

show_doc(RNNLearner, doc_string=False)

show_doc(RNNLearner.get_preds)

show_doc(RNNLearner.load_encoder)

show_doc(RNNLearner.save_encoder)

show_doc(RNNLearner.load_pretrained, doc_string=False)

show_doc(lm_split)

show_doc(rnn_classifier_split)

show_doc(convert_weights, doc_string=False)

show_doc(LanguageLearner, doc_string=False, title_level=3)

show_doc(LanguageLearner.predict)

show_doc(RNNLearner.get_preds)