automl
Deep Learning with Metaheuristic
v1.3.2
·
Jan 16, 2020
·
GNU General Public License
Description
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.
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OK
Show all 13 flavors
| Flavor | Status |
|---|---|
| r-devel-linux-x86_64-debian-clang | OK |
| r-devel-linux-x86_64-debian-gcc | OK |
| r-devel-linux-x86_64-fedora-clang | OK |
| r-devel-linux-x86_64-fedora-gcc | OK |
| r-devel-windows-x86_64 | OK |
| r-oldrel-macos-arm64 | OK |
| r-oldrel-macos-x86_64 | OK |
| r-oldrel-windows-x86_64 | OK |
| r-patched-linux-x86_64 | OK |
| r-release-linux-x86_64 | OK |
| r-release-macos-arm64 | OK |
| r-release-macos-x86_64 | OK |
| r-release-windows-x86_64 | OK |
Check History
OK 12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Apr 25, 2026
NOTE 11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE
r-oldrel-macos-arm64
LazyData
'LazyData' is specified without a 'data' directory
NOTE
r-oldrel-macos-x86_64
LazyData
'LazyData' is specified without a 'data' directory
NOTE
r-oldrel-windows-x86_64
LazyData
'LazyData' is specified without a 'data' directory
Version History
11 tracked
new
1.3.2
Mar 10, 2026
new
1.0.5
Sep 12, 2018