The random-forest-train app is a toy case implementation of a random forest classifier. It uses a 20% train-test split to evaluate the performance of the model. The script requires three arguments: a CSV file containing features (without header), another CSV file containing the corresponding classes (single column without header), and the output path where to save the trained model.
Snaps are applications packaged with all their dependencies to run on all popular Linux distributions from a single build. They update automatically and roll back gracefully.
Snaps are discoverable and installable from the Snap Store, an app store with an audience of millions.
Snap is available for CentOS 7.6+, and Red Hat Enterprise Linux 7.6+, from the Extra Packages for Enterprise Linux (EPEL) repository. The EPEL repository can be added to your system with the following command:
sudo yum install epel-release
Snap can now be installed as follows:
sudo yum install snapd
Once installed, the systemd unit that manages the main snap communication socket needs to be enabled:
sudo systemctl enable --now snapd.socket
To enable classic snap support, enter the following to create a symbolic link between /var/lib/snapd/snap and /snap:
sudo ln -s /var/lib/snapd/snap /snap
Either log out and back in again, or restart your system, to ensure snap’s paths are updated correctly.
To install random-forest-train, simply use the following command:
sudo snap install gianlucaperna
Browse and find snaps from the convenience of your desktop using the snap store snap.
Interested to find out more about snaps? Want to publish your own application? Visit snapcraft.io now.
