rubiML is used to build, train, test, tune and publish AI-ML Models easily and instantly. rubiML offers interactive data exploration. This makes it easy to design and optimize AI-ML models which boosts analytical productivity without any knowledge of coding.

In rubiML, predictive modelling is performed using ML (supervised or non-supervised). Operations like regression, classification, and clustering are done in rubiML.

rubiML can be used to build a Machine Learning model in a workbook. Here you can build, train, and test your models. Refer to Working with rubistudio.

rubiML can be used to run a prebuilt model in a workflow. You can publish your trained models in rubiflow and reuse these published models in real-life scenarios. Refer to Working with rubiflow.