An implementation of a Fuzzy ARTMAP in python. This objective of this implementation is to obtain a model capable of predicting if a given point, (x,y), is inside or outside of a given circle. The model will be trained with a different set of point before it can perform its predictions.
The following images shows the results of infering 1000 randomly generated point with a model trained. A black dot indicates the models predicted that point to be outside of the circle while blue indicates a prediction within the circle.
| 10 training points | 100 training points | 500 training points | 1000 training points |
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To train a model and obtain its predictions simply run the main.py file.
You can set the optional flags --entrenamiento and --inferencia to indicate the number of points to be used for the training and inference respectively.
python main.py --entrenamiento <int> --inferencia <int>