Working with Model Studio
What is Model Studio
Model Studio is a visual model designer for data scientists. It helps to build, train, test, deploy, and publish data models. These published data models can be reused whenever required.
This enables you to maintain multiple versions of models; as well as integrate Python and R-based models.
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Model Compare
Working with Model Compare To start working with Model Compare, follow the steps given below. Go to the Home page and create a new workbook or open an existing workbook. Drag and drop the required dataset on the workbook canvas. In the Properties ...
Working with AutoML in Rubiscape
Auto ML is a process that helps you to build models with the help of predefined datasets. You can select your datasets, the dependent, and the independent variables, and run the model. AutoML wizard suggests the best fit model for your dataset. ...
Model Validation
Model validation is an enhancement of publishing a model. You can use this feature to explore the result of the published model for a selected dataset. In model validation, you can use the published model for the selected algorithm with the same ...
Working with File Server
Understanding File Server Pane The File Server allows you upload files/ and folders on Rubiscape cloud storage for the current workspace. You can upload files of all formats and use them while creating a dataset or working with RubiNotebook or ...
Working with Projects
Key Elements in a Project Project cannot be created separately. Therefore, there are no dedicated steps to create a project. A project includes all your project elements, Workbook Workflow Models Dashboard Consider adding your dataset first that can ...