The module to generate the y variable is now created

[predictops.git] / main.py

diff --git a/main.py b/main.py
index 426d3b580fdbed6586b7111ce6ffb17c1172824a..969054c7ce186040b11a918c079a32b3a240cf94 100644 (file)
--- a/main.py
+++ b/main.py
@@ -1,6 +1,5 @@
 from predictops.engine import Engine
 from predictops.learn.preprocessing import Preprocessing
 from predictops.engine import Engine
 from predictops.learn.preprocessing import Preprocessing

-from predictops.target.toarea import ToArea

 
 from logging import getLogger
 from logging.config import fileConfig
 
 from logging import getLogger
 from logging.config import fileConfig


@@ -17,19 +16,21 @@ if __name__ == '__main__':
     engine = Engine(config_file = config)
 
     engine.add_features()
     engine = Engine(config_file = config)
 
     engine.add_features()

-    #print(engine.X)
-    process = Preprocessing(config_file = config, dict_features = engine.X)
+    engine.add_target()

 
 

+    process = Preprocessing(config_file = config, dict_features = engine.X)

 
 

-    #print(engine.X[datetime.strptime('06/30/2010 21:00:00', '%m/%d/%Y %H:%M:%S')])

     print(process.dataframe.head(n=20))
     print(process.dataframe.tail(n=20))
     print(process.dataframe.head(n=20))
     print(process.dataframe.tail(n=20))

+
+    #target = toarea(stream_file = Path.cwd() / 'data' / 'targets' / 'sdis25' / 'interventions.csv')
+
+

     exit()
 
     depts = gpd.read_file( Path.cwd() / 'data' / 'targets' / 'departments' / "departements-20180101.shp")
     Doubs = depts.loc[depts['nom'] == 'Doubs'].iloc[0]
 
     ToArea(area=Doubs.geometry,
     exit()
 
     depts = gpd.read_file( Path.cwd() / 'data' / 'targets' / 'departments' / "departements-20180101.shp")
     Doubs = depts.loc[depts['nom'] == 'Doubs'].iloc[0]
 
     ToArea(area=Doubs.geometry,

-           start = start, end = end,

            csv_file = Path.cwd() / 'data' / 'targets' / 'sdis25' / 'interventions.csv')
 
            csv_file = Path.cwd() / 'data' / 'targets' / 'sdis25' / 'interventions.csv')