Can I automate the training of the machine learning model with different parameters in AltAir PhysicsAI sotware (with same dataset) ?

Hi Ashrut,

Thank you for posting the question on the Altair Community.

We have demonstrated in a meeting to you the process of using HyperStudy for performing PhysicsAI's model hyper-parameter tuning.

For the benefit of other customers who may be interested in this requirement. The solution details are as follows:

Engineering Data Science (EDS) team has developed a custom HyperStudy Connector to perform DOE studies to understand the effect of the various PhysicsAI's model hyper-parameters on the model training time, model performance metrics such as loss value, validation loss value etc.

Using HyperStudy's Pareto Plot result post-processing option, the effect of epochs on the PhysicsAI model training time can be studied (as shown below). This is one such example of using the custom HyperStudy Connector for the requirement.

If one has a similar requirement or have questions on the solution mentioned above, kindly send us a mail at hwsupport@altair.com & we will provide the required support.

Many thanks.

Kind Regards

Garima Singh

Hello,
could you please provide a step-by-step example? So we could review it simply.
And how can I register physicsAI as solver inside Hyperstudy?

Thanks.
Alexander

Hi @AHuels,

Kindly mail us the request on hwsupport@altair.com so that one of the Engineering Data Science team member can support you on the same.

Many thanks.

Kind Regards

Garima Singh