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 be used in your workbook or workflow. You can also add dataset at any point of time. For adding a dataset, refer to Adding a Dataset. This dataset can be used in the project to do the processing.
| The project can only be created or selected while creating a Workbook or a Workflow. |
Workbook
A Workbook is an experimental canvas, where you can perform various experiments with algorithms. You can train your datasets here, which you can later use in workflows. All the trial and testing to create a list of learned datasets can be performed with rubistudio. It allows you to perform preprocessing, textual processing, cleaning, transformation, and so on. Most ETL (Extract, Transform, and Load) tasks can be done in workbook. When you publish the model in a workbook, it is added as a model in the models' section.
Workflow
A Workflow is where you run the final algorithm. All tested flows, which have learned data are used here and deployed onto the production. You can use your trained model on real-time data. It also allows you to schedule your workflow to run on a specific date and time. The schedule Workflow automatically runs and notifies you at the selected schedule.
Models
A Model contains all your published workflows. They reduce the time spent on building your workflows. These models are reused as a set of algorithms in new projects. When the model is published in workbook, it is listed in the models' section.
Dashboard
A Dashboard is a Graphical User Interface (GUI), which displays all the key performance indicators at a glance. In short, it is a progress report generated to gauge the performance of a process, business, and so on. The data is represented in different types of charts as reports, these reports are collated under a common criterion to represent it as a dashboard.
It is an interactive platform, where the insights and outcomes of a successfully run model are displayed.
Related Articles
Projects
Project is a series of tasks performed by users and groups in a specific order to reach a definite pre-defined outcome. The number of resources required to run a project varies according to its scope and complexity. In the case of Projects, you can ...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 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. ...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 ...Working with Forecasting
What is Forecasting Forecasting is an integrated tool to streamline and automate the forecasting process. With Forecasting, one can efficiently explore and analyze large volumes of time-series data without manually coding models.