CLI supports training, batch prediction, endpoint, etc.
Bug fixes
2.6.0
Spark integration (thanks Pierre Nodet)
t-SNE is 6X faster (thanks Brault Olivier-O)
Fully redesigned Gaussian Process Regression with HPO
L-BFGS-B
Matern kernel and composed kernels
Fully redesigned model validation facilities and metrics
Various optimization and bug fixes
2.5.3
enhance MLP
bug fixes.
2.5.2
AR and ARMA for time series modeling
Optimize interpolation package
Optimize matrix decomposition memory usage.
Bug fixes.
2.5.1
Generalized ridge regression
Enhance JSON library
Do NOT transparently include OpenBLAS library to save space. If the users need optimized matrix computation, they should add the dependency based on their platform. See README for details.
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Bumps com.github.haifengl:smile-core from 1.5.3 to 3.0.1.
Release notes
Sourced from com.github.haifengl:smile-core's releases.
... (truncated)
Commits
724568f
update docs for 3.0.1cc5ebad
upgrade kotlin to 1.8.10d8494a8
upgrade 11ty to 2.0.06dbf2d9
update kotlin api doc link184f0f8
update dependencyd437511
fix tp and tn in MCC1c8bfa0
write(array) -> write.array() to avoid compiler confusion with write(object)a4b296e
fix GradientTreeBoost.shap() for binary classification2558deb
v3.0.12a9295d
revise .jvmopts --add-opens for windowsDependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
@dependabot rebase
.Dependabot commands and options
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