Getting started with rorodata from your command line is easy. The instructions below will guide you through:
- Sign up for a rorodata account
- Start building machine learning apps
Optional steps for installation on local machine
- Install the rorodata CLI (optional)
- Login via CLI
Optional step is required only if you want to install the CLI client on your local machine. We strongly recommend that you use the JupyterLab IDE to build your projects.
First, sign up for rorodata console, a web UI for managing your projects, models and APIs. You can sign up using your vaild email ID and a password. Your email ID is your userID as well.
You are now set to start building awesome machine learning apps. Here are some resources to get you started.
Install the rorodata CLI (Optional)
roro command line tool offers numerous utilities that make prototyping, building, deploying, scaling and monitoring machine learning apps and APIs easy.
You can install the CLI tool using
$ pip install roro
You need Python 3.x and above for the CLI to work properly. Also please ensure you working in an isolated python environment. We suggest you use
virtualenv, more here.
Verify the version of the CLI using
$ roro version roro, version 0.1.10
Updating the CLI is simple. Keep your CLI up-to-date as we add new functionality and deprecate the old ones.
$ pip install -U roro
You can get a list of all useful commands and utilities in your terminal
$ roro --help
Login via CLI
After installing the rorodata CLI, you will need to login to the platform from your terminal.
$ roro login Email: <your email ID used during sign up> Password: <your password> Login successful.
Verrify your account using
$ roro whoami <your userID>
For details about how to use
roro on the command line, see the CLI Reference
Help us improve the documentation. Flag errors, issues or request how-tos, guides and tutorials on our
#documentation channel on our Slack