RackioAI
RackioAI is a Rackio extension for Artificial Intelligence (AI) models.
The project was started in 2020 by Carlos Rivero as a Leak Detection System and Virtual Analyzer project at Intelcon System C.A and MCL Control S.A respectively as a workaround to development and deployment Deep Learning models faster way.
Installation
Dependencies
RackioAI requieres:
- Python (>=3.7)
- scikit-learn
- easy-deco
- Pillow (8.0.0)
- Rackio (1.0.2)
User installation
The easiest way to install RackioAI is using pip
pip install RackioAI
## User instantiation
To use it in any python project you can import it using:
```python
from rackio_AI import RackioAI
Now, you can get access to RackioAI methods and attributes.
Source code
You can check the latest sources with the command:
git clone https://github.com/crivero7/RackioAI.git
Documentation
The RackioAI documentation can be found in Read the Docs
Todo
- Changelog
- Contributing guide
- Testing code
1 maintainer
Metadata
1 maintainer
Release files for RackioAI 0.3.2
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Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| RackioAI-0.3.2-py3-none-any.whl | Python 3 | none | any | Details for RackioAI-0.3.2-py3-none-any.whl |
Release files / RackioAI-0.3.2-py3-none-any.whl
| Download URL | RackioAI-0.3.2-py3-none-any.whl |
|---|---|
| Size | 722.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
fd48127323e4dc1c6931bddeaa2778c247f9b05a054b82dbd4c00bc0fce20ef8
|
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BLAKE2b-256 checksum How to use checksums |
eb235dbb5ab5d071722941e4b75dd0878b921a0496f18a4c7a53e7ad9970792f
|
| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.6
|
Security for RackioAI 0.3.2
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