def draw_predictions(self,
corp_name,
scaler_close,
data_params,
test_predict,
invest_predicts=None):
"""예측 그래프를 그린다."""
dir = 'predicts'
dir_chart = os.path.join(self.main.DIR_CHARTS, dir)
DataUtils.create_dir(dir_chart)
if invest_predicts is not None and test_predict is not None:
predicts = np.append(test_predict, invest_predicts)
#print(len(test_predict), len(invest_predicts))
elif test_predict is not None:
predicts = test_predict
else:
predicts = invest_predicts
dataY = np.append(data_params.testY, data_params.investY)
preds = []
for pred in predicts:
#print(pred, scaler_close)
preds.append(DataUtils.inverse_scaled_data(scaler_close, pred))
close_values = []
for y in dataY:
close_values.append(DataUtils.inverse_scaled_data(scaler_close, y))
df_data = self.get_predicts_data(data_params, close_values, preds)
df_data['date'] = pd.to_datetime(df_data['date'], format='%Y.%m.%d')
df_data_index = df_data.set_index('date')
self.draw_predictions_seaborn(df_data_index, dir, corp_name)
self.save_csv(df_data, dir, corp_name)
def draw_rmses(self, train_rmse, test_rmse, corp_name):
"""RMSE 그래프를 그린다."""
dir = 'trains'
dir_chart = os.path.join(self.main.DIR_CHARTS, dir)
DataUtils.create_dir(dir_chart)
rmse_data = {'train': train_rmse, 'test': test_rmse}
#print(len(train_rmse), len(test_rmse))
df_rmses = pd.DataFrame.from_dict(rmse_data)
self.draw_rmse_seaborn(df_rmses, dir, corp_name)
self.save_csv(df_rmses, dir, corp_name)
def get_session_dir(self,
corp_code: str,
is_reinforcement: bool = False,
name: str = 'main') -> str:
"""저장할 세션의 디렉토리"""
file_name = self.get_session_filename(corp_code)
if is_reinforcement:
dir = os.path.join(self.SESSIONS_DIR, 'reinforcement', name,
self.params.train_model, file_name)
else:
dir = os.path.join(self.SESSIONS_DIR, self.params.train_model,
file_name)
DataUtils.create_dir(dir)
return dir
def get_file_path(self, dir:str, corp_name:str, extension:str, start:str=None, end:str=None)->str:
"""저장할 파일 경로 """
if start is None:
invest_start_date = self.params.invest_start_date
else:
invest_start_date = start
if end is None:
invest_end_date = self.params.invest_end_date
else:
invest_end_date = end
if dir == 'invests_total':
dir = os.path.join(self.main.DIR_CHARTS, dir)
else:
dir = os.path.join(self.main.DIR_CHARTS, dir, corp_name)
DataUtils.create_dir(dir)
corp_name = corp_name.replace(" ", "")
return os.path.join(dir, corp_name + "_" + invest_start_date + "-" + invest_end_date + "." + extension)