feat: enhance training pipeline with research templates and experiment configuration

Makefile

@@ -12,6 +12,7 @@ help: ## Show this help message
 .PHONY: setup
 setup: ## Setup virtual environment and install dependencies
 	python -m venv .venv
+	source .venv/bin/activate
 	.venv/bin/pip install --upgrade pip
 	.venv/bin/pip install -r requirements.txt
 
@@ -20,79 +21,6 @@ install: ## Install/update dependencies
 	pip install --upgrade pip
 	pip install -r requirements.txt
 
-.PHONY: install-dev
-install-dev: ## Install development dependencies
-	pip install -r requirements.txt
-	pip install jupyter notebook ipykernel pytest black flake8 mypy
-
-.PHONY: activate
-activate: ## Show activation command
-	@echo "Run: source .venv/bin/activate"
-
-# =============================================================================
-# MODEL TRAINING & ARTIFACTS
-# =============================================================================
-
-.PHONY: train-baseline
-train-baseline: ## Train all baseline models and save artifacts
-	python research/train.py --mode baseline
-
-.PHONY: train-neural
-train-neural: ## Train neural network models (LSTM, CNN, Transformer)
-	python research/train.py --mode neural
-
-.PHONY: train-model
-train-model: ## Train specific model (use: make train-model MODEL=logistic_regression NAME=my_model)
-	python research/train.py --model-type $(MODEL) --name $(NAME)
-
-.PHONY: list-models
-list-models: ## List all saved model artifacts
-	python research/train.py --mode list
-
-# =============================================================================
-# RESEARCH & EXPERIMENTS
-# =============================================================================
-
-.PHONY: experiment
-experiment: ## Create sample experiment configuration
-	python research/cli.py run --name "sample_experiment" --features full_name --model-type logistic_regression
-
-.PHONY: baseline
-baseline: ## Run baseline experiments
-	python research/cli.py baseline
-
-.PHONY: ablation
-ablation: ## Run feature ablation study
-	python research/cli.py ablation
-
-.PHONY: components
-components: ## Run name component analysis
-	python research/cli.py components
-
-.PHONY: list-experiments
-list-experiments: ## List all experiments
-	python research/cli.py list
-
-.PHONY: list-completed
-list-completed: ## List completed experiments only
-	python research/cli.py list --status completed
-
-.PHONY: export-results
-export-results: ## Export all experiment results to CSV
-	python research/cli.py export --output results_$(shell date +%Y%m%d_%H%M%S).csv
-
-.PHONY: best-model
-best-model: ## Show best performing model
-	python research/cli.py list --status completed | head -5
-
-# =============================================================================
-# WEB INTERFACE
-# =============================================================================
-
-.PHONY: web
-web: ## Launch Streamlit web interface
-	streamlit run web/app.py --server.runOnSave true --server.port 8501
-
 # =============================================================================
 # DEVELOPMENT & CODE QUALITY
 # =============================================================================
@@ -113,10 +41,6 @@ type-check: ## Type check with mypy
 notebook: ## Start Jupyter notebook
 	jupyter notebook notebooks/
 
-.PHONY: lab
-lab: ## Start Jupyter lab
-	jupyter lab notebooks/
-
 # =============================================================================
 # DEPLOYMENT & PRODUCTION
 # =============================================================================