remove the rounding the 100 kwh

modules/ml-pipeline/src/pipeline/configs/feature_processor_logic.py

@@ -197,7 +197,7 @@ def remove_high_ratio_of_area_to_rooms(df):
 business_logic = {
     "add_features_from_code": add_features_from_code,
     "remove_heatingkwh_bottom_percentile": remove_heatingkwh_bottom_percentile,
-    "round_to_100s": round_to_100s,
+    # "round_to_100s": round_to_100s,
     "enforce_minimum_habitable_room_size": enforce_minimum_habitable_room_size,
     "remove_high_ratio_of_area_to_rooms": remove_high_ratio_of_area_to_rooms
     # "keep_non_zero_rdsap": keep_non_zero_rdsap,

modules/ml-pipeline/src/pipeline/dvc.lock

@@ -90,8 +90,8 @@ stages:
     outs:
     - path: data/prepared_data/
       hash: md5
-      md5: f5e520d6cc27dcd0d306cfdbebd324ff.dir
-      size: 10405713
+      md5: 607165e31c05fe86836a2243442a2820.dir
+      size: 10760299
       nfiles: 2
   build_model:
     cmd: python 2_build_model.py
@@ -102,8 +102,8 @@ stages:
       size: 4820
     - path: data/prepared_data
       hash: md5
-      md5: f5e520d6cc27dcd0d306cfdbebd324ff.dir
-      size: 10405713
+      md5: 607165e31c05fe86836a2243442a2820.dir
+      size: 10760299
       nfiles: 2
     params:
       configs/build_model.yaml:
@@ -135,17 +135,17 @@ stages:
     outs:
     - path: data/fit_predictions/
       hash: md5
-      md5: dee9c58e45081cf5734895a18f31906f.dir
-      size: 1545644
+      md5: 192ed855f08108aadaa52e8868db9e54.dir
+      size: 1545660
       nfiles: 1
     - path: data/model/
       hash: md5
-      md5: 2da6dc420a308a31e5450ab24b7d4c40.dir
-      size: 297721035
-      nfiles: 35
+      md5: 1d5889f08d4c4031acfbb2f3f60e95a1.dir
+      size: 178898316
+      nfiles: 34
     - path: metrics/fit_metrics.json
       hash: md5
-      md5: 23032c58977677c6790415aa79e48aa8
+      md5: b158de9f30ae9eb37a53ab293799f836
       size: 216
   generate_predictions:
     cmd: python 3_generate_predictions.py
@@ -156,13 +156,13 @@ stages:
       size: 2464
     - path: data/model
       hash: md5
-      md5: 2da6dc420a308a31e5450ab24b7d4c40.dir
-      size: 297721035
-      nfiles: 35
+      md5: 1d5889f08d4c4031acfbb2f3f60e95a1.dir
+      size: 178898316
+      nfiles: 34
     - path: data/prepared_data
       hash: md5
-      md5: f5e520d6cc27dcd0d306cfdbebd324ff.dir
-      size: 10405713
+      md5: 607165e31c05fe86836a2243442a2820.dir
+      size: 10760299
       nfiles: 2
     params:
       configs/settings.yaml:
@@ -174,8 +174,8 @@ stages:
     outs:
     - path: data/predictions/
       hash: md5
-      md5: d93b71cd8f21df7928a423db8a2c4e2b.dir
-      size: 163544
+      md5: 358fe834f20b42dea868126e316064cc.dir
+      size: 163556
       nfiles: 1
   generate_metrics:
     cmd: python 4_generate_metrics.py
@@ -186,13 +186,13 @@ stages:
       size: 3484
     - path: data/predictions
       hash: md5
-      md5: d93b71cd8f21df7928a423db8a2c4e2b.dir
-      size: 163544
+      md5: 358fe834f20b42dea868126e316064cc.dir
+      size: 163556
       nfiles: 1
     - path: data/prepared_data
       hash: md5
-      md5: f5e520d6cc27dcd0d306cfdbebd324ff.dir
-      size: 10405713
+      md5: 607165e31c05fe86836a2243442a2820.dir
+      size: 10760299
       nfiles: 2
     params:
       configs/settings.yaml:
@@ -202,7 +202,7 @@ stages:
     outs:
     - path: metrics/metrics.json
       hash: md5
-      md5: f611572ff9273930f0c386903ee2ba63
+      md5: c1665489c0022901c7a3621e536ae62b
       size: 217
   generate_scenerio_metrics:
     cmd: python 5_generate_scenarios.py