1. Write
Create your function within your favourite text editor or through the QBit web interface.
2. Deploy
Deploy your function including objects and package dependencies within seconds and speedup your model development life-cycle.
3. Share & Re-Use
Share models with your friends and colleagues or re-use existing building blocks within your data science workflow.
Build together
Easily share data science functions with your friends and colleagues. Set permissions and collaborate together on your QBit functions. Be in full control of your model deployment life cycle: Track deployments of your team, create A/B tests and roll-back to previous deployments.
Showcases – See what it can do
Predicting flower species using random forests.
Predicting flower species using randomForest based on the iris
Optimize a Minimum Expected Shortfall Portfolio
Run the Symphony solver for a minimum expected shortfall portfolio optimization.
Predicting Fuel Consumption of mtcars using Random Forests.
Predicting fuel consumption of mtcars based on a random forest model trained with parsnip and ranger.
Predicting the label based on the UCI Mushroom data set using XGBoost.
Predicting the label of each mushroom from the Mushroom dataset agaricus.test using xgboost.
Really fast deployments
With QBit the deployment of R data science models has never been easier. After you have written and tested your prediction function use the QBit R-package to upload and use it in production.
QBit takes care of all dependencies and required objects. Depending on previously deployed R-packages your QBit function is live within 10 seconds.