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
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.
#DEPENDENCIES
apt install python3-pip libpq-dev
pip3 install pandas tensorflow keras psycopg2
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
File details
Details for the file CategorizerAI-0.4-py3-none-any.whl.
File metadata
- Download URL: CategorizerAI-0.4-py3-none-any.whl
- Upload date:
- Size: 11.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: 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
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | f0458e8d7e5812d5a49b7c538477ffea67df37de527f929916dacd45ac5dce95 |
|
| MD5 | b651ee2ac71d22159cd417bf75cefa34 |
|
| BLAKE2b-256 | f21f57c16808cb3057bd286cfed01943ce6012ee8cb87c09db9ae68b18a081ab |
