DISCOVER module (Beta)

Help system articles for the DISCOVER module

7 articles in this collection
Written by Deysha Poyser, Andrés Ramirez, and Hassnain Qasim Bokhari

Introduction

DISCOVER: Statistical Metrics for model evaluation

Find about the quality of your Machine Learning models through DISCOVER module.

Written by Hassnain Qasim Bokhari
Updated over a week ago

DISCOVER: Candidate Selection

Solve optimization problems such as finding the best strain or fermentation parameters with TeselaGen's DISCOVER module

Written by Hassnain Qasim Bokhari
Updated over a week ago

DISCOVER: Design Space Complexity

Measure the complexity of a given dataset through TeselaGen's DISCOVER module

Written by Hassnain Qasim Bokhari
Updated over a week ago

DISCOVER: Cross-validation

Estimate the performance of a machine learning model over new, unseen samples of data using TeselaGen's DISCOVER module.

Written by Hassnain Qasim Bokhari
Updated over a week ago

Introduction to the DISCOVER module

The TeselaGen's app that models and evolves data with Machine Learning.

Written by Deysha Poyser
Updated over a week ago

Working with the DISCOVER module

Glossary: DISCOVER Module

A list with the main concepts and terms used on the DISCOVER module that may assist you at any moment.

Written by Andrés Ramirez
Updated over a week ago

Closing the DBTL loop with TeselaGen

Shows how to create designs out of DISCOVER's suggested candidates

Written by Andrés Ramirez
Updated over a week ago