Discover toolkit
Use machine learning models, validate predictions and select the best conditions for your experimentation.
Closing the DBTL loop with TeselaGen
Shows how to create designs out of DISCOVER's suggested candidates
DISCOVER: Statistical Metrics for model evaluation
Find about the quality of your Machine Learning models through DISCOVER module.
DISCOVER: Candidate Selection
Solve optimization problems such as finding the best strain or fermentation parameters with TeselaGen's DISCOVER module
DISCOVER: Design Space Complexity
Measure the complexity of a given dataset through TeselaGen's DISCOVER module
DISCOVER: Cross-validation
Estimate the performance of a machine learning model over new, unseen samples of data using TeselaGen's Discover toolkit.