Pipeline Pilot 8.0: Updates to the Statistics and Chemistry Component Collections
Join us for a discussion of the many enhancements made to the Data Modeling, Advanced Data Modeling, R Statistics and Chemistry Collections with the latest release of the Pipeline Pilot platform.
Statistics updates include model applicability domain (MAD) support for all learners in all three collections, helping you ensure that the models you build are applied properly when making predictions, and allowing you to assess the prediction accuracy for specific samples. Model evaluation viewers for both regression and classification models allow you to easily compare multiple models to determine which is best. We will cover new options for computing distances (dissimilarities) between samples for clustering, similarity searching, and applicability domain calculations. These options give you greater flexibility in determining how distances are computed, including the option to allow (and correct for) missing data.
Enhancements to the Chemistry Collection improve the way chemical knowledge is stored and communicated throughout the enterprise. Updates include better and more customizable molecular depictions in reports and the addition of new components to support chemical registration and interaction with chemical databases.
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