# ============================
# PLANESNET COMMANDS GUIDE
# ============================

# ----------------------------
# 1. Neural Networks (MLP / CNN / ResNet18)
# ----------------------------

# MLP
python planesnet_nn.py --json Data/planesnet/planesnet.json --model mlp --epochs 20 --batch-size 256

# CNN
python planesnet_nn.py --json Data/planesnet/planesnet.json --model cnn --epochs 25 --batch-size 256

# ResNet18
python planesnet_nn.py --json Data/planesnet/planesnet.json --model resnet18 --epochs 30 --batch-size 256 --amp

# Evaluate saved model
python planesnet_nn.py --json Data/planesnet/planesnet.json --evaluate --checkpoint runs_nn/best_model.pt


# ----------------------------
# 2. K-Nearest Neighbors (KNN)
# ----------------------------

# KNN basic
python planesnet_knn.py --json Data/planesnet/planesnet.json

# KNN with search
python planesnet_knn.py --json Data/planesnet/planesnet.json --search --max-k 39


# ----------------------------
# 3. Naive Bayes Classifier
# ----------------------------

python planesnet_bayes.py --json Data/planesnet/planesnet.json --pca 100


# ----------------------------
# 4. Decision Tree
# ----------------------------

# Train + visualize
python planesnet_decision_tree.py --json Data/planesnet/planesnet.json --export-graphviz

# Render tree (requires graphviz)
dot -Tpng runs_dtree/tree.dot -o runs_dtree/tree.png


# ----------------------------
# 5. K-Means Clustering
# ----------------------------

# Basic 2 clusters (plane/no-plane)
python planesnet_kmeans.py --json Data/planesnet/planesnet.json --n-clusters 2 --pca 50

# Elbow curve
python planesnet_kmeans.py --json Data/planesnet/planesnet.json --pca 50 --elbow-max 10


# ----------------------------
# 6. Hierarchical Clustering
# ----------------------------

python planesnet_hclust.py --json Data/planesnet/planesnet.json --n-clusters 2 --pca 100 --linkage average --metric cosine


# ----------------------------
# 7. Time Series Analysis
# ----------------------------

# Global (daily plane counts)
python planesnet_timeseries.py --json Data/planesnet/planesnet.json --h 14

# Per geo zone (~airport level)
python planesnet_timeseries.py --json Data/planesnet/planesnet.json --geo-bin 2 --h 7


# ----------------------------
# 8. PlanesNet Runner (Unified launcher)
# ----------------------------

# Train CNN
python planesnet_runner.py --algo cnn --mode train --json Data/planesnet/planesnet.json

# Test CNN
python planesnet_runner.py --algo cnn --mode test --json Data/planesnet/planesnet.json

# MLP / ResNet18
python planesnet_runner.py --algo mlp --mode train --json Data/planesnet/planesnet.json
python planesnet_runner.py --algo resnet18 --mode train --json Data/planesnet/planesnet.json --extra "--amp --epochs 30"

# Supervised group
python planesnet_runner.py --algo all-supervised --mode train --json Data/planesnet/planesnet.json

# Unsupervised group
python planesnet_runner.py --algo all-unsupervised --mode train --json Data/planesnet/planesnet.json

# All algorithms
python planesnet_runner.py --algo all --mode train --json Data/planesnet/planesnet.json