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categorizerai's Introduction

Install

pip3 install CategorizerAI

Usage, Example

There is an example database using a dataset with US government transactions. The Config.py in the source root is a Configuration to use it. The updater script in the same location drives data acquisition and updating.

You can set up your own setup by studying the example. Copy over the Config.py to somewhere in PYTHONPATH, the updater script to somewhere in your path, and change them to your needs.

The hardest part is tuning the AI for the particular data you have. use FIRST_LAYER_NEURONS, SECOND_LAYER_NEURONS, BATCH_SIZE and EPOCHS in Config.py for the tuning. Bigger is not always better!

It might happen that the neural net cannot learn the data with enough accuracy. In this case it tells you so, and exits.

categorizerai's People

Contributors

konveyortest avatar magwas avatar

Watchers

avatar James Cloos avatar Tamás Szirbucz avatar

categorizerai's Issues

Categorize transactions/Refuse work if the accuracy of predictions are too low; ACCURACYCHECK_FAILURE_HANDLING

Behaviour: Categorize transactions/Refuse work if the accuracy of predictions are too low; ACCURACYCHECK_FAILURE_HANDLING

@TestedFeature("Categorize transactions")
@TestedOperation("Refuse work if the accuracy of predictions are too low")
@TestedBehaviour("ACCURACYCHECK_FAILURE_HANDLING")

If the accuracy is below MIN_ACCURACY, it displays the error message and exits the program

You should modify AccuracyCheckService

relevant images:

Process overview
Process overview
AccuracyCheckService
AccuracyCheckService
ai
ai
ui
ui

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