You can now organise your models into Projects, making them easier to manage, find, and share with other Alchemite™ users.
Alchemite™ users routinely need to create new models, whether by starting with a new dataset, adding data to an existing model, or retraining with modified settings. The ability to ‘play’ with models in this way is important in exploring solutions and experimental designs, enabling users to optimise the quality of predictions and apply Alchemite™ to different applications. But a growing list of models can get difficult to manage and use, particularly where you want to try out revisions of an existing model while retaining the previous versions.
The new Projects feature, built with input from Alchemite™ users, makes it simple to organise models so that they can be more easily found and applied. Iterations on an existing model are automatically captured in the relevant project, so that you can easily move between then and retain traceability for your work. And you can share projects with colleagues for effortless collaboration.
The power of the Alchemite™ algorithm means that you can design new products and processes and reduce your experimental workloads – but it is detailed productivity features like these that enable you to do so efficiently within real R&D workflows and teams.