Skip to main content

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


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

RackioAI-0.2.9-py3-none-any.whl (710.4 kB view details)

Uploaded Python 3

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

Hashes for RackioAI-0.2.9-py3-none-any.whl
Algorithm Hash digest
SHA256 e6436192a437213e484394fdf28788167956cbb4f1f24249da0c718a892b38c1
MD5 c36e6d7be86bdb6923134bdb30c25962
BLAKE2b-256 5ac243ace0fac1a573891167d628a139eeedebddf9f063a536c813e083380d32

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page