new data location

modules/ml-pipeline/src/pipeline/src/configs/build_model.yaml

@@ -1,5 +1,5 @@
-model_type: SKLearnLinearRegression
-model_save_filepath: ./data/model/model.joblib
+model_type: AutogluonAutoML
+model_save_filepath: ./data/model/autogluonmodel/
 
 SKLearnLinearRegression: null
 

modules/ml-pipeline/src/pipeline/src/configs/feature_processor.yaml

@@ -3,6 +3,6 @@ feature_processor_config:
   subsample_amount: null
   subsample_seed: 0
   target: RDSAP_CHANGE
-  drop_columns: ["UPRN", "HEAT_DEMAND_CHANGE"]
-  retain_features: ["TOTAL_FLOOR_AREA", "FLOOR_HEIGHT"]
-  # retain_features: null
+  drop_columns: ["UPRN", "HEAT_DEMAND_CHANGE", "CARBON_CHANGE"]
+  # retain_features: ["TOTAL_FLOOR_AREA_STARTING", "SAP_STARTING", "TOTAL_FLOOR_AREA_ENDING"]
+  retain_features: null

modules/ml-pipeline/src/pipeline/src/configs/prepare_data.yaml

@@ -1,7 +1,7 @@
 input_dataclient_type: aws-s3
 output_dataclient_type: local
 datahandler_type: parquet
-data_filepath: s3://retrofit-data-dev/model_build_data/change_data/rdsap_full/train_validation_data.parquet
+data_filepath: s3://retrofit-data-dev/sap_change_model/dataset.parquet
 train_proportion: 0.1
 output_train_filepath: ./data/prepared_data/train.parquet
 output_test_filepath: ./data/prepared_data/test.parquet

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

@@ -15,8 +15,8 @@ stages:
     outs:
     - path: data/prepared_data/
       hash: md5
-      md5: f7e45d3997cf165904174b2bc2d2eba5.dir
-      size: 4396934
+      md5: febdc8362200167078dfa578cf2bc889.dir
+      size: 24296908
       nfiles: 2
   build_model:
     cmd: python build_model.py
@@ -27,8 +27,8 @@ stages:
       size: 3948
     - path: data/prepared_data
       hash: md5
-      md5: f7e45d3997cf165904174b2bc2d2eba5.dir
-      size: 4396934
+      md5: febdc8362200167078dfa578cf2bc889.dir
+      size: 24296908
       nfiles: 2
     params:
       configs/build_model.yaml:
@@ -42,26 +42,26 @@ stages:
         SKLearnLinearRegression:
         SKLearnSVMRegression:
           kernel: linear
-        model_save_filepath: ./data/model/model.joblib
-        model_type: SKLearnLinearRegression
+        model_save_filepath: ./data/model/autogluonmodel/
+        model_type: AutogluonAutoML
     outs:
     - path: data/model/
       hash: md5
-      md5: 1d4bc40f23a6866c8daa9f2f5b639d67.dir
-      size: 904
-      nfiles: 1
+      md5: 154f823d56a9892948a633789d9b08a5.dir
+      size: 680552724
+      nfiles: 18
   generate_predictions:
     cmd: python generate_predictions.py
     deps:
     - path: data/model
       hash: md5
-      md5: 1d4bc40f23a6866c8daa9f2f5b639d67.dir
-      size: 904
-      nfiles: 1
+      md5: 154f823d56a9892948a633789d9b08a5.dir
+      size: 680552724
+      nfiles: 18
     - path: data/prepared_data
       hash: md5
-      md5: f7e45d3997cf165904174b2bc2d2eba5.dir
-      size: 4396934
+      md5: febdc8362200167078dfa578cf2bc889.dir
+      size: 24296908
       nfiles: 2
     - path: generate_predictions.py
       hash: md5
@@ -77,21 +77,21 @@ stages:
     outs:
     - path: data/predictions/
       hash: md5
-      md5: ea0431b600f0ef357de3a543482cefe7.dir
-      size: 4085105
+      md5: d8abefde18d78588158ef6acf282e2ed.dir
+      size: 2948553
       nfiles: 1
   generate_metrics:
     cmd: python generate_metrics.py
     deps:
     - path: data/predictions
       hash: md5
-      md5: ea0431b600f0ef357de3a543482cefe7.dir
-      size: 4085105
+      md5: d8abefde18d78588158ef6acf282e2ed.dir
+      size: 2948553
       nfiles: 1
     - path: data/prepared_data
       hash: md5
-      md5: f7e45d3997cf165904174b2bc2d2eba5.dir
-      size: 4396934
+      md5: febdc8362200167078dfa578cf2bc889.dir
+      size: 24296908
       nfiles: 2
     - path: generate_metrics.py
       hash: md5
@@ -107,8 +107,8 @@ stages:
     outs:
     - path: metrics/metrics.json
       hash: md5
-      md5: ae53c4781cb8a754d24e29ba7ddb16ea
-      size: 183
+      md5: f5aaae75ea74241500cd1ce76751c579
+      size: 182
   startup_cleanup:
     cmd: python startup_cleanup.py
     deps:

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

@@ -19,6 +19,7 @@ stages:
       - train_proportion
     outs:
     - data/prepared_data/
+    always_changed: true
   build_model:
     cmd: python build_model.py
     deps:
@@ -28,6 +29,7 @@ stages:
     - configs/build_model.yaml:
     outs:
     - data/model/
+    always_changed: true
   generate_predictions:
     cmd: python generate_predictions.py
     deps:
@@ -38,6 +40,7 @@ stages:
     - configs/generate_predictions.yaml:
     outs:
     - data/predictions/
+    always_changed: true
   generate_metrics:
     cmd: python generate_metrics.py
     deps:
@@ -48,5 +51,6 @@ stages:
     - configs/generate_metrics.yaml:
     outs:
     - metrics/metrics.json
+    always_changed: true
 metrics:
   - metrics/metrics.json