> ## Documentation Index
> Fetch the complete documentation index at: https://docs.coreweave.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Release Notes for v1.2

> Release notes for Monolith platform version 1.2, released 6 June 2024.

*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](/monolith-ai/1814202889/Specify+Data+Types), [Filter Category](/monolith-ai/1814202607/Filter+Category), Filter Numeric, [Remove Missing](/monolith-ai/1814202894/Remove+Missing), [Select Columns](/monolith-ai/1814202657/Select+Columns)
* **Model (Train):** [Neural Network](/monolith-ai/1814202478/Neural+Network), [Polynomial Regression](/monolith-ai/1814202505/Linear+Polynomial+Regression), [Random Forest Regression](/monolith-ai/1814202910/Random+Forest+Regression)
* **Model (Evaluate):** [Compare Against Criteria](/monolith-ai/1814203022/Compare+Against+Criteria), [Compare Performance Metrics](/monolith-ai/1814201931/Compare+Performance+Metrics), [Validation Plot](/monolith-ai/1814203182/Validation+Plot), [Predicted v Actual](/monolith-ai/1814203321/Predicted+Vs+Actual)
* **Apply:** [Dataset Prediction](/monolith-ai/1814202673/Dataset+Prediction)

**Use case for these features**

With forward-prediction models such as [Neural Networks](/monolith-ai/1814202478/Neural+Network), 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](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](https://www.monolithai.com/use-case/system-calibration)