Product development /

Monitor, download and share your models

October 18 2021/6 min read

In this product news focused blog post, we are happy to bring you features for working with your model off platform, monitor the results of your deployed models and sharing your models with others. Enjoy!

Updated model download feature for tf.savedModel format

Deploy and serve your platform-built models off platform with our model download option that is now available in tf.savedModel format. The format includes all the pre- and post-processing done by the platform, and is compatible with TensorFlow 2.5.x. 

If you are interested in working with your models off platform, you will be happy to hear that we have created a guide that describes how to download your model as well as provides utility functions to make it easier to work with your models outside the Peltarion platform. You can see how to deploy a SavedModel in these selected frameworks and platforms: ML Flow, TF Serving, UIPath.

You can find the guide here.

Added monitoring capabilities to deployed models

Following the afterlife of your deployed models is a way of making sure that your model is continuously performing well and is also a way of checking that you have made the right decisions when shaping your model, if you need to tune it or potentially replace it.

From now on, whenever you want to monitor API calls, predictions and errors of your live platform deployments, you can do so by visiting the deployments section of the platform and selecting "Monitoring" in the upper left corner.

Test our shareable Deployment web app

Our new Deployment web app allows you to test your deployment from a GUI that you can share with others. As soon as you make your deployment public, you are able to share your model through a URL with your coworkers, stakeholders, business partners, you name it. 

Also, it's responsive. Meaning that you can use it on your phone and get your predictions on the go.

We built an author similarity model for you to test. Check it out: Take me to the app.

If you want to know how the Deployment web app works, have a look here.

If you want to redo our author similarity model, this is the dataset we used.

Happy modeling!

  • Susanne Björkman

    Susanne Björkman

    Product Marketing Manager

    Susanne Björkman is part of the commercial team at Peltarion where she has role of Product Marketing Manager. She is passionate about data-driven insights, user experience and product development; and comes from a professional background in Enterprise Cloud Data Management and Analytics.

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