Release date: 8 May 2024
Step change in platform stability and performance
Over the past few months, our development team has undergone a major effort to improve the stability and performance of the platform. New software infrastructure now enables Monolith to handle an order of magnitude larger datasets (tens of millions of rows) with greater reliability.
New manipulators
Over the next months, we are excited to progressively migrate functionality to use this new infrastructure. For this first version, the following manipulators are available:
- Import & Export: Tabular, Import Global Model, Import Global Tabular, Export Model, Export Tabular
- Explore: 2D Point Plot, Distribution, Line Plot, Note, Plot Missing Data
- Transform: Append, Custom SQL Code, Join, Random Subset, Resample Time Series, Train Test Split
- Model: Anomaly Detection Model & Finetuner
- Apply: Anomaly Detector and Visualiser
- Other: Tabular Data Explorer, Export CSV
Use case for Anomaly Detection
With our Anomaly Detection, you can auto-detect erroneous sensor measuremnts, to trust data quality and avoid wasting time collecting erroneous data. Find out more here: https://www.monolithai.com/use-case/test-data-validation
Was this article helpful?
That’s Great!
Thank you for your feedback
Sorry! We couldn't be helpful
Thank you for your feedback
Feedback sent
We appreciate your effort and will try to fix the article