Chores

.github/workflows/test_action.yml

@@ -33,20 +33,13 @@ jobs:
         with:
           name: all-artifacts
           path: artifacts/
-      
+
       - name: Upload Best Model Artifact
         uses: actions/upload-artifact@v4.4.0
         with:
           name: model
           path: artifacts/model.pkl
 
-      - name: tree
-        uses: jaywcjlove/github-action-folder-tree@main
-        id: tree
-        with:
-          path: ./
-          depth: 3
-
   test_model:
     needs: train_and_upload
     name: Unit Test Model Artifacts
@@ -80,4 +73,4 @@ jobs:
           echo "All required files are present."
 
       - name: Run Model Inference Test Action
-        uses: PLtier/itu-sdse-project-model-validator@main
+        uses: lasselundstenjensen/itu-sdse-project-model-validator@main

Makefile

@@ -6,7 +6,11 @@ all: setup test
 .PHONY: setup
 setup: venv
 	$(VENV)/pre-commit install
+	go mod download
 
 .PHONY: test
 test:
-	dagger run go test -v
+	dagger run go test -v
+
+.PHONY: container_run
+	dagger run go run pipeline.go

github_dagger_workflow_project/03_model_selection.py

@@ -33,7 +33,8 @@ def save_best_model(experiment_best, best_model_type) -> None:
 
 experiment_best = select_best_model(experiment_name)
 # Save best model
-# Currently we pick only LR, no matter what the best model is. When ready, uncomment to consider xgboost.
+# Currently we pick only LR, no matter what the best model is.
+# When ready, uncomment to consider xgboost.
 # best_model_type = experiment_best["params.model_type"]
 # and comment below code
 best_model_type = "LogisticRegression"

pyproject.toml

@@ -37,5 +37,10 @@ ignore = [
   "ISC001", # single-line-implicit-string-concatenation
 ]
 
+select = [
+"E", # PEP 8 Errors
+"W", # PEP 8 warnings
+]
+