Model Performance Management (MPM) is the foundation of model/MLOps, providing continuous visibility into your training and production ML, understanding why predictions are made, and enabling teams with actionable insights to refine and react to changes to improve your models. MPM is reliant not only on metrics but also on how well a model can be explained when something eventually goes wrong.
H2O is a fully open source, distributed in-memory machine learning platform with linear scalability. H2O’s supports the most widely used statistical & machine learning algorithms including gradient boosted machines, generalized linear models, deep learning and more. H2O also has an industry leading AutoML functionality that automatically runs through all the algorithms and their hyperparameters to produce a leaderboard of the best models. The H2O platform is used by over 14,000 organizations globally and is extremely popular in both the R & Python communities.
We monitor all Model Monitoring reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
