Discover toolkit
Use machine learning models, validate predictions and select the best conditions for your experimentation.
By Eduardo and 1 other2 authors5 articles
Closing the DBTL loop with TeselaGenShows how to create designs out of DISCOVER's suggested candidates
DISCOVER: Statistical Metrics for model evaluationFind about the quality of your Machine Learning models through DISCOVER module.
DISCOVER: Candidate SelectionSolve optimization problems such as finding the best strain or fermentation parameters with TeselaGen's DISCOVER module
DISCOVER: Design Space ComplexityMeasure the complexity of a given dataset through TeselaGen's DISCOVER module
DISCOVER: Cross-validationEstimate the performance of a machine learning model over new, unseen samples of data using TeselaGen's Discover toolkit.
