Learning process: first version

[predictops.git] / predictops / learn / preprocessing.py

diff --git a/predictops/learn/preprocessing.py b/predictops/learn/preprocessing.py
index 187a5b73b664da58031d45d55839548a10ec1be1..51ecb4e162ff77b804a6a9e4790c4e9da34e1410 100644 (file)
--- a/predictops/learn/preprocessing.py
+++ b/predictops/learn/preprocessing.py
@@ -182,15 +182,11 @@ class Preprocessing:
         '''
         logger.info("Integrating previous nb of interventions as features")
         nb_lines = self._config['HISTORY_KNOWLEDGE'].getint('nb_lines')
         '''
         logger.info("Integrating previous nb of interventions as features")
         nb_lines = self._config['HISTORY_KNOWLEDGE'].getint('nb_lines')

-        print(len(self._dataframe))
-        print(self._dataframe.head(4))

         for k in range(1,nb_lines+1):
             name = 'history_'+str(nb_lines-k+1)
             self._dataframe[name] = [np.NaN]*k + list(self._dict_target.values())[:-k]
             self._numerical_columns.append(name)
         self._dataframe = self._dataframe[nb_lines:]
         for k in range(1,nb_lines+1):
             name = 'history_'+str(nb_lines-k+1)
             self._dataframe[name] = [np.NaN]*k + list(self._dict_target.values())[:-k]
             self._numerical_columns.append(name)
         self._dataframe = self._dataframe[nb_lines:]

-        print(self._dataframe.head(4))
-        print(len(self._dataframe))