An AI to categorize finantial transactions
Project description
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.
Download files
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Source Distributions
Built Distribution
Hashes for CategorizerAI-0.4.3-py3-none-any.whl
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|---|---|---|
| SHA256 | 99721c21fb25ddc86d976299852ddc36be50ea8e9f3a69522ef502df5af05d11 |
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| MD5 | 6223c084288e81fb909bb18957282086 |
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| BLAKE2b-256 | dfc295ddf8add946c80136a6189f6938ed51f9ac0bb1c11e9823a28941272200 |
