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Author:
None
License:
BSD 3-Clause License
Copyright (c) 2024 AutoML-Freiburg-Hannover
Redistribution and use in source and binary forms, with or without modification, are permitted provid...
Summary:
A lightweight framework for benchmarking HPO algorithms
Latest version:
0.1.3
Required dependencies:
configspace
|
hpoglue
|
matplotlib
|
more_itertools
|
pandas
|
pyarrow
|
pyyaml
|
tqdm
Optional dependencies:
dehb
|
hebo
|
ioh
|
ipykernel
|
mf-prior-bench
|
mypy
|
neural-pipeline-search
|
nevergrad
|
optuna
|
pre-commit
|
pymoo
|
ruff
|
scikit-optimize
|
smac
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