mlhub 1.0.12

Machine learning model repository manager

This site is under development.

The machine learning hub is an open source project and resource for distributing pre-built machine learning models. The models are accessed and managed using the ml command from the mlhub package.

The models collected in the ML Hub archive are listed in https://mlhub.ai/Packages.yaml and can be browsed from https://mlhub.ai/pool/.

The command line tool source package is available as https://mlhub.ai/dist/mlhub_1.0.12.tar.gz within https://mlhub.ai/dist/

To install using PyPi:

$ pip install mlhub

To install from the tar.gz file:

$ wget https://mlhub.ai/dist/mlhub_1.0.12.tar.gz
$ pip install mlhub_1.0.12.tar.gz
$ ml

Once installed you will be able to run the sample rain-tomorrow model:

$ ml
$ ml available
$ ml installed
$ ml install   rain-tomorrow
$ ml readme    rain-tomorrow
$ ml license   rain-tomorrow
$ ml commands  rain-tomorrow
$ ml configure rain-tomorrow
$ ml demo      rain-tomorrow
$ ml print     rain-tomorrow
$ ml display   rain-tomorrow
$ ml score     rain-tomorrow
$ ml donate    rain-tomorrow

A model is a zip file archived as .mlm files and hosted in a repository. The public repository is https://mlhub.ai. The ml command can install the pre-built model locally, ready to run a demo, to print and display the model, and to score new data using the model. Some models provide ability to retrain the model with user provided data.

If you find the model useful, either as is to score your own data or as a learning experience, please consider donating to the model’s author through the donate command.

The open source mlhub command line tool (ml) and sample models are being hosted on https://github.com/mlhubber and contributoins to both the command line tool and contributions of new open source pre-built machine learning models are most welcome. Feel free to submit pull requests.