def generate_random_state(self):
# type: () -> SynState
if self.init_states is None:
positive_df = pandas_util.all_positive_rows_df(
self.sent_pool_df, self.col_names.tag, cn.pos_tags)
self.init_states = map(
lambda (idx, text_state): cn.ss_type(idx, self.sent_pool_df,
self.col_names),
positive_df[self.col_names.text].iteritems())
return random.sample(self.init_states,
1)[0] # not used in hill climbing
def __init__(self, sent_df, col_names, init_text_state=None):
# type: (pd.DataFrame, ColumnNames, str) -> None
super(BestInstanceProblem, self).__init__()
cn.inst_count += 1
self.sent_pool_df = sent_df
self.col_names = col_names
cn.add_experiment_param(cn.ss_type.__name__)
if init_text_state is not None:
init_row = sent_df[sent_df[col_names.text] == init_text_state]
assert len(init_row) != 0, "init_text_state not in send_df"
# initial_state is used in BestInstanceProblem
self.initial_state = cn.ss_type(init_row.index[0],
self.sent_pool_df, col_names)
self.init_states = None
