Machine learning model repository manager
Project description
UNDER DEVELOPMENT
Introduction
The machine learning hub is an open source project aimed at easily sharing pre-built machine learning models. The models are accessed and managed using the ml command from the mlhub package designed to install the model and run a demonstration within 5 minutes.
Visit the repository index on mlhub.ai where the models themselves can be browsed from the main pool.
Quick Start
The command line interface can be installed using PyPi:
$ pip3 install mlhub
Once installed you will be able to run the sample rain-tomorrow model assuming that you have the free and open source R statistical software package installed. The TL;DR version is below. Note that you type the command ml ... and that everything from the # to the end of the line is ignored (it’s a comment):
$ ml install rain-tomorrow # Install the model named rain-tomorrow. $ ml demo rain-tomorrow # Run the demonstration of the model $ ml display rain-tomorrow # Graphical display of pre-built model.
The following commands are available and below is a brief description of each command:
$ ml # Show a usage message. $ ml available # List of pre-buld models on the MLHub. $ ml installed # List of pre-built models installed locally $ ml install rain-tomorrow # Install the model named rain-tomorrow. $ ml readme rain-tomorrow # View background information about the model. $ ml commands rain-tomorrow # List of commands supported by the model. $ ml configure rain-tomorrow # Install required dependencies. $ ml demo rain-tomorrow # Run the demonstration of the model $ ml print rain-tomorrow # Textual summary of the model. $ ml display rain-tomorrow # Graphical display of pre-built model. $ ml score rain-tomorrow # Run model on your own data.
Different model packages will have different dependencies and these will be installed by the configure command.
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