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.
1 maintainer
Release files for CategorizerAI 0.4.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| CategorizerAI-0.4.3-py3-none-any.whl | Python 3 | none | any | Details |
Release files / CategorizerAI-0.4.3-py3-none-any.whl
| Download URL | CategorizerAI-0.4.3-py3-none-any.whl |
|---|---|
| Size | 12.0 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.6.8
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