"""
Chihuahua vs Muffin classifier — Logistic Regression using color histogram features.
"""

# importing the functions we wrote for you
import given

# import here any sklearn or numpy functions you will need




# ---------------------------------------------------------------------------
# Step 2: Test/Train split based on existing folders
# ---------------------------------------------------------------------------

print("======Step 2:  Train/Test Split")

# load train data

# X_train_chihuahua, y_train_chihuahua = 
# X_train_muffin, y_train_muffin = 


# load test data

# X_test_chihuahua, y_test_chihuahua = 
# X_test_muffin, y_test_muffin = 


# using numpy to combine




# ---------------------------------------------------------------------------
# 3. Train the Model
# ---------------------------------------------------------------------------
print("======Step 3:  Train the Model")




print("Model trained.")

# ---------------------------------------------------------------------------
# 4. Evaluate the Model
# ---------------------------------------------------------------------------
print("======Step 4:  Evaluate the Model")

# --- 4a. Accuracy Evaluation ---




# --- 4b. Confusion Matrix ---




# ---------------------------------------------------------------------------
# 5. Let's predict!
# ---------------------------------------------------------------------------

print("======Step 5:  Let's Predict!")