mlpack 3.3.1
Released April 29th, 2020.
-
Minor Julia and Python documentation fixes (#2373).
-
Updated terminal state and fixed bugs for Pendulum environment (#2354, #2369).
-
Added
EliSH
activation function (#2323). -
Add L1 Loss function (#2203).
-
Pass CMAKE_CXX_FLAGS (compilation options) correctly to Python build (#2367).
-
Expose ensmallen Callbacks for sparseautoencoder (#2198).
-
Bugfix for LARS class causing invalid read (#2374).
-
Add serialization support from Julia; use
mlpack.serialize()
andmlpack.deserialize()
to save and load fromIOBuffer
s.