Command Line MLHub
The command line interface can be installed on Linux, Mac, or Windows from the PyPi repository. We recommend using Ubuntu either natively or through Windows 10 Hyper-V Gallery or Mac on Parallels or VirtualBox.
$ pip3 install mlhub
Once installed you will be able to run the sample rain model assuming that you have the free and open source R statistical software package installed. You’ll need Python installed too, but you will probably already have it if you were able to run the pip command above.
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 # Install the model named 'rain'. $ ml demo rain # Run the demonstration of the pre-built model. $ ml display rain # Graphical display of pre-built model. $ ml score rain # Interact with the model to predict rain.
The following lists the commands generally available for each package and a brief description of each:
$ 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 # Install the pre-built model named 'rain'. $ ml remove rain # Remove locally installed pre-built model. $ ml remove # Remove the local MLHub folder. $ ml readme rain # View background information about the model. $ ml configure rain # Install any required packages. $ ml commands rain # List of commands supported by the model. $ ml demo rain # Run the demonstration of the pre-built model $ ml print rain # Textual summary of the pre-built model. $ ml display rain # Graphical display of pre-built model. $ ml score rain # Interactive model or run model on own data. $ ml train rain # Supply own data and re-fit a model.
Different pre-built model packages will have different system dependencies and these will be installed by the configure command.
Commands Auto Completion
The bash shell on Linux supports command line auto-completion which is pretty handy. You can download ml.bash from the MLHub and place the file into /etc/bash_completion.d/ or for later versoins of bash, into ~/.local/share/bash-completion/completions/
$ wget https://mlhub.ai/ml.bash
$ sudo install -m 0644 ml.bash /etc/bash_completion.d/
OR (for bash --version > 4.3)
$ mkdir -p ~/.local/share/bash-completion/completions/
$ mv ml.bash ~/.local/share/bash-completion/completions/
Restart the shell for the auto-completion to take effect. Then type ‘ml ‘ then the beginnings of a command, like ‘a’, and then TAB to auto-complete. Auto-completion also works for model names.