9/18/2023 0 Comments Godfather unpack .str![]() ![]() ![]() Model.build_vocab(sentences=common_texts) Model = FastText(vector_size=4, window=3, min_count=1) # instantiate Glove.fit(corpus.matrix, epochs=30, no_threads=4, verbose=True)įrom import common_texts # some example sentences Glove = Glove(no_components=5, learning_rate=0.05) #Training the corpus to generate the co-occurrence matrix which is used in GloVe ![]() : return reduce(lambda x, y: x.astype(str).str.cat(y.astype(str), sep=sep), Data = data].agg(' '.join, axis=1)ĭf = df + dfĭf = df + ' ' + dfĭf = df.astype(str) + df #If one (or both) of the columns are not string typedĭf = df].agg('-'.join, axis=1) #for multiple string columnsĭf = df].apply(lambda x: ''.join(x), axis=1)ĭf = df.(df.Quarter)ĭf = df.Year.astype(str).str.cat(df.Quarter.astype(str), sep='q')ĭf = df.str.cat(df], sep=' - ') #add parameter na_rep to replace the NaN values with a string if have nanĬolumns = ĭf = df.astype(str).sum(axis=1) ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |