A Rackio extension for AI models development
Project description
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
Project details
Release history Release notifications | RSS feed
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 RackioAI-0.2.9-py3-none-any.whl
.
File metadata
- Download URL: RackioAI-0.2.9-py3-none-any.whl
- Upload date:
- Size: 710.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.0.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.7.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | e6436192a437213e484394fdf28788167956cbb4f1f24249da0c718a892b38c1 |
|
MD5 | c36e6d7be86bdb6923134bdb30c25962 |
|
BLAKE2b-256 | 5ac243ace0fac1a573891167d628a139eeedebddf9f063a536c813e083380d32 |