mloptiflow 0.0.15

Dynamic MLOps Framework with Integrated CLI for Automated ML Project Inception, Kafka-Driven Real-Time Model Monitoring, and Adaptive Canary Deployment Architectures

MLOPTIFLOW

Dynamic MLOps Framework with Integrated CLI for Automated ML Project Inception, Kafka-Driven Real-Time Model Monitoring, and Adaptive Canary Deployment Architectures

Installation

1. create a new virtual environment with python ^3.11 and activate it

2. install mloptiflow:

pip install mloptiflow

3. initialize a new project and choose a name and paradigm (currently supported paradigms are: tabular_regression, tabular_classification):

mloptiflow init <your-project-name> --paradigm=<paradigm-name>

4. cd into your project directory:

cd <your-project-name>

5. install dependencies:

poetry install

or if using pip:

pip install -r requirements.txt

Usage

• TBA

Support

• TBA

Roadmap

• TBA

Contributing

• TBA

License

MIT