def transform(self, X):
bc_data, bc_data_idx = get_brown_cluster_data(self.cluster_size)
y_dim = len(bc_data_idx.values())
mat = dok_matrix((len(X), y_dim * 2), dtype=np.float32)
def set_cluster_pair(i, s, offset=0):
cx = _get_bigram_clusters(s, bc_data)
for x in cx:
idx = bc_data_idx[x]
mat[i, idx + (y_dim * offset)] = 1
for i, (_, s) in enumerate(X.iterrows()):
set_cluster_pair(i, s.claimHeadline)
set_cluster_pair(i, s.articleHeadline, 1)
return mat
def transform(self, X):
bc_data, bc_data_idx = get_brown_cluster_data(self.cluster_size)
y_dim = len(bc_data_idx.values())
mat = dok_matrix((len(X), y_dim * 2), dtype=np.float32)
def set_cluster_pair(i, s, offset=0):
cx = _get_bigram_clusters(s, bc_data)
for x in cx:
idx = bc_data_idx[x]
mat[i, idx + (y_dim * offset)] = 1
for i, (_, s) in enumerate(X.iterrows()):
set_cluster_pair(i, s.claimHeadline)
set_cluster_pair(i, s.articleHeadline, 1)
return mat
def transform(self, X):
bc_data, bc_data_idx = get_brown_cluster_data(self.cluster_size)
mat = dok_matrix((len(X), len(bc_data_idx.values())), dtype=np.float32)
for i, (_, s) in enumerate(X.iterrows()):
claim_headline = get_tokenized_lemmas(s.claimHeadline)
article_headline = get_tokenized_lemmas(s.articleHeadline)
word_pairs = it.product(article_headline, claim_headline)
for v, w in word_pairs:
v_cluster = bc_data.get(v)
w_cluster = bc_data.get(w)
if v_cluster is None or w_cluster is None:
continue
idx = bc_data_idx[(v_cluster, w_cluster)]
mat[i, idx] = 1
return mat
def transform(self, X):
bc_data, bc_data_idx = get_brown_cluster_data(self.cluster_size)
mat = dok_matrix((len(X), len(bc_data_idx.values())), dtype=np.float32)
for i, (_, s) in enumerate(X.iterrows()):
claim_headline = get_tokenized_lemmas(s.claimHeadline)
article_headline = get_tokenized_lemmas(s.articleHeadline)
word_pairs = it.product(article_headline, claim_headline)
for v, w in word_pairs:
v_cluster = bc_data.get(v)
w_cluster = bc_data.get(w)
if v_cluster is None or w_cluster is None:
continue
idx = bc_data_idx[(v_cluster, w_cluster)]
mat[i, idx] = 1
return mat
