Comet R SDK¶
The Comet R SDK, called
cometr, is an open source library. The
source code can be found at
welcome any fixes or enhancements.
To install the stable CRAN version:
To install the latest development version from GitHub:
Please see the README for more information on how to setup and use.
After you have aquired your Comet API key and done the one-time setup, then you are ready to dive into Machine Learning in R.
Specifically, you need to have defined your
~/.comet.yml file, which
might look something like:
COMET_WORKSPACE: my-comet-user-name COMET_PROJECT_NAME: keras COMET_API_KEY: m93476k7WAa5t093476kIaJSjl8le
In R, you'll need to install the
Now you are ready to begin running Machine Learning R scripts with Comet.
Comet Machine Learning Examples in R¶
First, you might explore these Jupyter Notebooks demonstrating Comet with R:
Here are some basic R script examples to get you started:
Note that each example may require additional R packages. Please see the script's source for details.
After installing necessary packages, you can run each of those like the following:
$ Rscript keras-example.R
Each Comet R Experiment has a unique URL, and all Experiments are grouped under your workspace/project. There, you can interactively create visualizations, analyze the performance of many models, share your results, and work with collaborators.
If you have any questions, consider these resources:
The rest of this page dives into the Comet R Experiment, the object at the heart of your Machine Learning.
Comet R Experiment¶
Experiment object is where the logging of the machine learning code occurs.
Comet R API¶
Functions for creating, deleting, and querying Comet.
Advanced functions for Comet R.