NLP, Python, Scikit Learn.
vec]).reshape(-1) con_padded = np.pad(con, (0, padding_value)) con_truncated = con_padded[:padding_value] res.append(con_truncated) return np.array(res) def pca_reduce(vec_list, n_components): return PCA(n_components).fit_transform(vec_list) X = pd.read_pickle('ml29_01_word_vectors.pkl') x_train =