2.12 Tips
20200221 For R based models it is often useful to install some R packages through the operating system, or else locally by a user. For the latter case some useful packages to pre-install are identified below. This can be done at any time, but is useful before installing any of the R based MLHub packages. They will not then individually need to install the packages for themselves.
$ R
> install.packages(c("rpart", "tidyverse"))
Similarly for common Python dependencies. One particular example is tensorflow which does not have a Ubuntu package and thus is installed using pip. This can be installed any time, and any mlhub package that requires tensorflow will not need to install it separately.
$ pip install tensorflow
If a model has installed badly, got corrupted, or not working as expected, sometimes an uninstall followed by install will fix the problem. When uninstalling in these circumstances it is usually a good idea to remove the cache as well:
$ ml uninstall objects
Remove '/home/kayon/.mlhub/objects/' [Y/n]? y
Remove cache '/home/kayon/.mlhub/.cache/objects/' as well [y/N]? y
$ ml install objects
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
~/.local/share/bash-completion/completions/
for recent versions of
bash, or into the system-wide location /etc/bash_completion.d/
. The
configure command installs the file into the
system-wide location. Be sure to restart the shell for the
auto-completion to take effect.
Your donation will support ongoing availability and give you access to the PDF version of this book. Desktop Survival Guides include Data Science, GNU/Linux, and MLHub. Books available on Amazon include Data Mining with Rattle and Essentials of Data Science. Popular open source software includes rattle, wajig, and mlhub. Hosted by Togaware, a pioneer of free and open source software since 1984. Copyright © 1995-2022 Graham.Williams@togaware.com Creative Commons Attribution-ShareAlike 4.0
