RackioAI 0.2.2

A Rackio extension for AI models development

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 (>=3.8)
• numpy (1.18.5)
• scipy (1.4.1)
• scikit-learn (0.23.2)
• tensorflow (2.3.0)
• pandas (1.1.3)
• easy-deco
• Pillow (8.0.0)
• Rackio (0.9.8)
• matplotlib (3.3.2)

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User installation

The easiest way to install RackioAI is using pip

pip install RackioAI

Then, to use it in any python project you can import it using:

from rackio_AI import RackioAI

User instantiation

The most important thing you keep in mind is that RackioAI is a Rackio extension, therefore, to use RackioAI in any project you must do the following steps, respecting the order

1. import Rackio
2. import RackioAI
3. to instantiate Rackio
4. do RackioAI callback with the Rackio object

see the following snippet code

from rackio import Rackio
from rackio_AI import RackioAI
app = Rackio()
RackioAI(app)

Now, you can get access to RackioAI methods and attributes.

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Source code

You can check the latest sources with the command:

git clone https://github.com/crivero7/RackioAI.git

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Documentation

The RackioAI documentation can be found in Read the Docs

Todo

• Changelog
• Contributing guide
• Testing code