This is a simple python library developed by Francesco Paolo Liuzzi and Paul Maximilian Magos for the Machine Learning course of the University of Pisa AI Master's Degree.
First time you clone the repo:
> python3 -m venv batNNvenv
> source batNNvenv/bin/activate
> pip install --upgrade pip
> pip install -r requirements.txt
Activate local env :
> source batNNvenv/bin/activate
Build the library:
> python setup.py bdist_wheel
Install the library:
> pip install /dist/*.wheel
Once you have installed it you can call it like any other library:
import batNNlib
from batNNlib import batNN
Notice that this installation, if performed this way, will install the library in the local env. To install it in any other environment such as your global env, deactivate the local one and activate yours:
> deactivate
% conda activate myenv
or
% pyenv activate myenv
or etc...
Metadata
Release files for exclusiveAI 0.0.21
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| exclusiveAI-0.0.21.tar.gz | 23.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| exclusiveAI-0.0.21-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 62.4 kB
Release files / exclusiveAI-0.0.21.tar.gz
| Download URL | exclusiveAI-0.0.21.tar.gz |
|---|---|
| Size | 23.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / exclusiveAI-0.0.21-py3-none-any.whl
| Download URL | exclusiveAI-0.0.21-py3-none-any.whl |
|---|---|
| Size | 38.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.12.1
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