Starting to investigate the fact that qualitative features with NaN

[predictops.git] / predictops / source / ephemeris.py

diff --git a/predictops/source/ephemeris.py b/predictops/source/ephemeris.py
index e46b296ad09efd78afdff11163e43f3606ce67fc..2a343642bdb3f8959365c71f4b4692c33955e527 100644 (file)
--- a/predictops/source/ephemeris.py
+++ b/predictops/source/ephemeris.py
@@ -1,3 +1,5 @@
+from .source import Source
+

 from configparser import ConfigParser
 from csv import DictReader
 from datetime import datetime, timedelta
 from configparser import ConfigParser
 from csv import DictReader
 from datetime import datetime, timedelta


@@ -15,6 +17,9 @@ class Ephemeris:
 
     def __init__(self, config_file):
 
 
     def __init__(self, config_file):
 

+        # Check for the integrity of feature names
+        Source.__init__(self)
+

         self._config = ConfigParser()
         self._config.read(config_file)
 
         self._config = ConfigParser()
         self._config.read(config_file)