With our latest update, you can now connect ML Assisted to Azure Auto ML models through the creation of endpoints. This integration allows for seamless communication between the two platforms, enabling you to unlock the full potential of your NLP annotations. Simply fill in the API URL and auth key, and watch as ML Assisted leverages the power of Azure Auto ML models. With ML Assisted, you can save time and increase accuracy, all while streamlining your workflow. Now, let’s get into it!
With the integration of Azure Auto ML models, connecting ML Assisted to your NLP workflow is as simple as inputting the endpoint URL and auth key - no need to make any changes to the output.
All you need to do to activate it is to go to Azure Machine Learning Studio, select the model that you want, deploy the model to a web service, and fill in the endpoint details. See the sample image below:
And voilà! You have your model endpoint is ready to use in Datasaur - ML Assisted. Please make sure you have your model authenticated just to be safe!
Take the example of BBC News Data for 250 rows - with ML Assisted, you can effortlessly connect your Azure model and start the labeling process with the added benefit of model recommendations. Give it a try today and experience the game-changing difference for yourself! If you have any questions at all contact us at Support@Datasaur.ai