Wheelodex » Projects » mlos-core

mlos-core

View on PyPI — Reverse Dependencies (1)

0.6.2 mlos_core-0.6.2-py3-none-any.whl

Wheel Details

Project: mlos-core
Version: 0.6.2
Filename: mlos_core-0.6.2-py3-none-any.whl
Download: [link]
Size: 40375
MD5: 79a759246493b4a28c74a6326a82e64d
SHA256: e21179398b19a9dc4d4ece68c0a1e3ffdef9a0ea5f47003375fc014101636a3a
Uploaded: 2025-01-06 23:15:03 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: mlos-core
Version: 0.6.2
Summary: MLOS Core Python interface for parameter optimization.
Author-Email: Microsoft <mlos-maintainers[at]service.microsoft.com>
Maintainer-Email: Microsoft <mlos-maintainers[at]service.microsoft.com>
Project-Url: Documentation, https://microsoft.github.io/MLOS/source_tree_docs/mlos_core/
Project-Url: Repository, https://github.com/microsoft/MLOS/
Project-Url: Issues, https://github.com/microsoft/MLOS/issues
Project-Url: Package Source, https://github.com/microsoft/MLOS/tree/main/mlos_core/
License: MIT
Keywords: autotuning,optimization
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: System Administrators
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Requires-Python: >=3.10
Requires-Dist: scikit-learn (>=1.3)
Requires-Dist: scipy (>=1.3.2)
Requires-Dist: numpy (>=1.24)
Requires-Dist: pandas (>=2.2.0); python_version >= "3.9"
Requires-Dist: ConfigSpace (>=1.0)
Requires-Dist: flaml (<2.2.0); extra == "flaml"
Requires-Dist: flaml[blendsearch]; extra == "flaml"
Requires-Dist: smac (>=2.2.0); extra == "smac"
Requires-Dist: smac (>=2.2.0); extra == "full"
Requires-Dist: flaml (<2.2.0); extra == "full"
Requires-Dist: flaml[blendsearch]; extra == "full"
Requires-Dist: smac (>=2.2.0); extra == "full-tests"
Requires-Dist: flaml (<2.2.0); extra == "full-tests"
Requires-Dist: flaml[blendsearch]; extra == "full-tests"
Requires-Dist: pytest; extra == "full-tests"
Requires-Dist: pytest-forked; extra == "full-tests"
Requires-Dist: pytest-xdist; extra == "full-tests"
Requires-Dist: pytest-cov; extra == "full-tests"
Requires-Dist: pytest-local-badge; extra == "full-tests"
Provides-Extra: flaml
Provides-Extra: smac
Provides-Extra: full
Provides-Extra: full-tests
Description-Content-Type: text/markdown
[Description omitted; length: 2649 characters]

WHEEL

Wheel-Version: 1.0
Generator: setuptools (75.7.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
mlos_core/__init__.py sha256=J1zj1PXf5kGj_-vJuHiYQ4N-wP-x0uT-Ca4m30QEM-E 7402
mlos_core/data_classes.py sha256=sLB7yOKFRkwHfLA35VUjPcQQbrACb4SSd3nx5Vg0wD8 14501
mlos_core/py.typed sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
mlos_core/util.py sha256=VTUPJwl3cFk7bHOd1ZrNv_CN1WnhlX6SJt32avzzbqo 3015
mlos_core/version.py sha256=M_m_6mSH57FveKEZCGCpeYeygLhPp2EQHq5hRnIjptE 238
mlos_core/optimizers/__init__.py sha256=EQ_ICPM89_0B8qpEzhH4ItYN-oW8v0cLrAv4ssOsUNY 5125
mlos_core/optimizers/flaml_optimizer.py sha256=G2Gd8kCHh1muedniWFMw0payc855iZiCCCK5rXD-QdI 9061
mlos_core/optimizers/optimizer.py sha256=F6CgGvyQphQiKEZuFH7BPXicsimhhbpL1ZkIE8vc2no 13169
mlos_core/optimizers/random_optimizer.py sha256=QE3DER7TzpmE4emmCOpYx9yDzug27uIqqlMgKmGTBK8 2226
mlos_core/optimizers/bayesian_optimizers/__init__.py sha256=IgCNSROXQQ66SPp1jdQNHMDgScK2h9Ppyk8NaXM22c8 398
mlos_core/optimizers/bayesian_optimizers/bayesian_optimizer.py sha256=0nfEBX89X7B9TV_TMJs1wvU4PWohvvAd3O-o13lhoM0 1338
mlos_core/optimizers/bayesian_optimizers/smac_optimizer.py sha256=S2RhkPTxjd7bWDPINecFcescGzLKDETAUwSRxW31u64 18240
mlos_core/spaces/__init__.py sha256=mlDP8uFfVAC5MfxhIXEPNiNMTdgB7YTZJifQxGmk8Fo 215
mlos_core/spaces/adapters/README.md sha256=bdBVt7QzmRmiklOMSngA78iqylvd14SJFJ7TD5dfSl0 4710
mlos_core/spaces/adapters/__init__.py sha256=3hx24UqC-Li6qelyoGn4gUfiE1mOxVTTFkHUpNUreUg 3833
mlos_core/spaces/adapters/adapter.py sha256=dDJiq5Np_b8Ar2b0i05c-nsdB0rAwVHZj21g5KOX0ro 3887
mlos_core/spaces/adapters/identity_adapter.py sha256=PibyY-1nlLjVI2KRYg-vk-1l5mC4aE5V4OMS9Jp6N5U 801
mlos_core/spaces/adapters/llamatune.py sha256=2TFph5ytqfhLgjwT6NqhkIxUAYN5Qsc1tbVJqRiwgp8 24712
mlos_core/spaces/converters/__init__.py sha256=MqhIRTYJuQrq74-hJJxUmLqNI08CeDc21w1AmdoNQUA 557
mlos_core/spaces/converters/flaml.py sha256=ze-bMTG5XrpwPlhF-MT2RbtkxC2KGRYjDewE_N7BsvI 2505
mlos_core/spaces/converters/util.py sha256=tu09Y3nNFywcWny4qjhTW7jnHEAvKyjmWFH77ekofmk 2649
mlos_core-0.6.2.dist-info/METADATA sha256=gsn0ukwPSXitSXtyGUh41VTLo96IzxrhpSVVO3iMBCE 4762
mlos_core-0.6.2.dist-info/WHEEL sha256=A3WOREP4zgxI0fKrHUG8DC8013e3dK3n7a6HDbcEIwE 91
mlos_core-0.6.2.dist-info/top_level.txt sha256=6k0-03asyoIeW6EO82LsngfBTudvgixBB8s2crouCL8 25
mlos_core-0.6.2.dist-info/RECORD — —

top_level.txt

dist
mlos_core
notebooks