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
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