Milk quality classification model
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Contents
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- model.py: Neural Designer Python export.

Usage
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Import NeuralNetwork and provide the inputs in this order:

1. pH
2. temperature
3. taste
4. odor
5. fat
6. turbidity
7. colour

Example:

    from model import NeuralNetwork

    model = NeuralNetwork()
    probabilities = model.calculate_outputs([6.6, 37, 1, 0, 1, 0, 255])

The returned class order is:

1. high_quality
2. low_quality
3. medium_quality

The example input returns approximately:

- high_quality: 0.970429
- low_quality: 0.000000
- medium_quality: 0.029571

Important
---------
This export reproduces the demonstration model. Validate input ranges, sensor
quality, calibration, probability thresholds and performance on independent
production batches before operational use. It is not a regulatory release or
food-safety decision system.
