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automl

Deep Learning with Metaheuristic

Fits from simple regression to highly customizable deep neural networks either with gradient descent or metaheuristic, using automatic hyper parameters tuning and custom cost function. A mix inspired by the common tricks on Deep Learning and Particle Swarm Optimization.

Versions across snapshots

VersionRepositoryFileSize
1.3.2 rolling linux/jammy R-4.5 automl_1.3.2.tar.gz 410.5 KiB
1.3.2 rolling linux/noble R-4.5 automl_1.3.2.tar.gz 410.4 KiB
1.3.2 rolling source/ R- automl_1.3.2.tar.gz 535.8 KiB
1.3.2 latest linux/jammy R-4.5 automl_1.3.2.tar.gz 410.5 KiB
1.3.2 latest linux/noble R-4.5 automl_1.3.2.tar.gz 410.4 KiB
1.3.2 latest source/ R- automl_1.3.2.tar.gz 535.8 KiB
1.3.2 2026-04-26 source/ R- automl_1.3.2.tar.gz 535.8 KiB
1.3.2 2026-04-23 source/ R- automl_1.3.2.tar.gz 535.8 KiB
1.3.2 2026-04-09 windows/windows R-4.5 automl_1.3.2.zip 412.3 KiB
1.3.2 2025-04-20 source/ R- automl_1.3.2.tar.gz 535.8 KiB

Dependencies (latest)

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