User Guide
==========



How to Use the Application
---------------------------

Step 1: Upload Dataset
~~~~~~~~~~~~~~~~~~~~~~~

1. Click "Choose .pkl File"
2. Select your dataset file
3. Dataset must have columns: x1, x2, x3, x4, x5, y

Dataset Format
~~~~~~~~~~~~~~

Your pickle file should be a dictionary::

   {
       "X": numpy array of features (n_samples, 5),
       "y": numpy array of targets (n_samples,),
       "metadata": {
           "feature_names": ["x1", "x2", "x3", "x4", "x5"],
           "target_name": "y"
       }
   }

Step 2: Train Model
~~~~~~~~~~~~~~~~~~~

1. Set number of hidden layers (1-5)
2. Set neurons per layer (1-64)
3. Set number of epochs (5-200)
4. Set learning rate (0.0001-0.001)
5. Click "Start Training"
6. View results and plots

Step 3: Make Predictions
~~~~~~~~~~~~~~~~~~~~~~~~~

1. Adjust sliders for x1, x2, x3, x4, x5
2. Click "Predict"
3. View predicted value

Reset
~~~~~

Click "Reset" to clear everything and start over.