rtemis - Machine Learning and Visualization
Machine learning and visualization package with an 'S7' backend featuring comprehensive type checking and validation, paired with an efficient functional user-facing API. train(), cluster(), and decomp() provide one-call access to supervised and unsupervised learning. All configuration steps are performed using setup functions and validated. A single call to train() handles preprocessing, hyperparameter tuning, and testing with nested resampling. Supports 'data.frame', 'data.table', and 'tibble' inputs, parallel execution, and interactive visualizations. The package first appeared in E.D. Gennatas (2017) <https://repository.upenn.edu/entities/publication/d81892ea-3087-4b71-a6f5-739c58626d64>.
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data-sciencedata-visualizationmachine-learningmachine-learning-libraryvisualization
8.02 score 148 stars 2 dependents 45 scripts 535 downloadsrtemis.core - Core Utilities for the 'rtemis' Ecosystem
Utilities used across packages of the 'rtemis' ecosystem. Includes the msg() messaging system and the fmt() formatting system. Provides a library of 'S7' properties, test_* functions that return logical values, check_* functions that throw informative errors, and clean_* functions that return validated and coerced values. This code began as part of the 'rtemis' package (<doi:10.32614/CRAN.package.rtemis>).
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4.86 score 2 stars 4 dependents 1 scripts 558 downloadsrtemis.a3 - Amino Acid Annotation (A3) Format
Implements the Amino Acid Annotation (A3) format using 'S7' classes. The A3 format is a structured schema for annotating amino acid sequences with site, region, post-translational modification (PTM), processing event, and variant information. Provides functions to create, read, and write A3 objects, and to import annotations from 'UniProt', 'AlphaFold', 'PDBe', 'ClinVar', and 'Ensembl'.
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3.90 score 2 stars 2 scripts 443 downloadsrtemis.server - 'rtemis' Server
Create a websocket server to run 'rtemis' functions from an 'rtemislive' client.
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2.18 score 1 stars