Release Notes for v1.2 - CoreWeave Docs

Release date: 6 June 2024 New manipulators In this version, we are migrating more functionality to our new software infrastructure enabling greater stability and performance:

Transform: Rename Columns, Specify Data Types, Filter Category, Filter Numeric, Remove Missing, Select Columns
Model (Train): Neural Network, Polynomial Regression, Random Forest Regression
Model (Evaluate): Compare Against Criteria, Compare Performance Metrics, Validation Plot, Predicted v Actual
Apply: Dataset Prediction

Use case for these features With forward-prediction models such as Neural Networks, you can:

Make the right choices during your test campaign, by predicting the outcome of new tests, to assess their necessity. More info: https://www.monolithai.com/use-case/test-plan-optimisation
Calibrate your complex test systems, by predicting correction factors for a range of test conditions, and exporting them as a uniform grid. More info: https://www.monolithai.com/use-case/system-calibration