Wheelodex » Projects » tpcp

tpcp

View on PyPI — Reverse Dependencies (10)

2.0.0 tpcp-2.0.0-py3-none-any.whl

Wheel Details

Project: tpcp
Version: 2.0.0
Filename: tpcp-2.0.0-py3-none-any.whl
Download: [link]
Size: 99506
MD5: 21fe0c3c34c1f7ae83d2340459a42e22
SHA256: 0ded48af9767dcfd79f9eb345a9e796fba034b16410a613b14f4dea10dd6eeb1
Uploaded: 2024-10-24 10:13:15 +0000

dist-info

METADATA · WHEEL · RECORD · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: tpcp
Version: 2.0.0
Summary: Pipeline and Dataset helpers for complex algorithm evaluation.
Author: Arne Küderle
Author-Email: arne.kuederle[at]fau.de
Home-Page: https://github.com/mad-lab-fau/tpcp
Project-Url: Repository, https://github.com/mad-lab-fau/tpcp
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
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: >=3.9,<4.0
Requires-Dist: attrs (>=22.1.0); extra == "attrs"
Requires-Dist: joblib (>=1.3)
Requires-Dist: numpy (>=1.0)
Requires-Dist: optuna (>=2.10); extra == "optuna"
Requires-Dist: pandas (>=1.3)
Requires-Dist: scikit-learn (>=1.2.0)
Requires-Dist: tensorflow-cpu (>=2.16.0); extra == "x-tensorflow"
Requires-Dist: torch (>=1.6.0); extra == "x-torch-cpu"
Requires-Dist: tqdm (>=4.62.3)
Requires-Dist: typing-extensions (>=4.1.1)
Provides-Extra: attrs
Provides-Extra: optuna
Provides-Extra: x-tensorflow
Provides-Extra: x-torch-cpu
Description-Content-Type: text/markdown
[Description omitted; length: 9937 characters]

WHEEL

Wheel-Version: 1.0
Generator: poetry-core 1.9.1
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
tpcp/__init__.py sha256=xp6ZvelP8uTOM3SgulkFujz70lkpZ76pIdC_rdVNWos 1213
tpcp/_algorithm.py sha256=Ju9gJxUsM96ZhKD-EI8zI8Ws7lLdPocBJbkcOaLu5Ew 1209
tpcp/_algorithm_utils.py sha256=UUEfp0BC72YO_P9BE_gTXDf8fRNKsYGlFaEwgEKvMXM 19946
tpcp/_base.py sha256=tCN59YYQQXbWcQ8wZl0cSvEyVvQQb197RViSXaaBGKc 35596
tpcp/_dataset.py sha256=gHROV3Glm7a_GkF-0FdEiF1Z2f5ueW96LyHNM_EhNws 33708
tpcp/_hash.py sha256=QfCtgMR7wR_203VkH63jebDsYhbgXkTkUH5ZsOEvMJ4 8123
tpcp/_optimize.py sha256=VvW3XyJz_842V1_OcRtdHM12AA6l8E5JrOxl4uWyZ88 1200
tpcp/_parameters.py sha256=qmaKzv24O2SgI7nusNOv0PzBSTlGFerv9GbaNInlPu4 3229
tpcp/_pipeline.py sha256=LYKCEJ0_ecm_hcUupQYrYJnF2ecwCKHblQK-pz8rv_k 6833
tpcp/_utils/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
tpcp/_utils/_general.py sha256=QXFm7HKqkjLJBuUvVgdnWMjJ-rs4HNk3m0JEMmy6dFM 3822
tpcp/_utils/_score.py sha256=BEOB_O0_bYxiqMBNtQgrFiAgtqSAThAM_U99xTOTxEs 12716
tpcp/caching.py sha256=vjioWAk3cYPIVG5rHUWih1NK0C92wWZsqMPJImOHp2E 25274
tpcp/exceptions.py sha256=wewVHoe15mIo56kNJWjKeh4EmoS4kH1_POto0-fu68A 748
tpcp/misc/__init__.py sha256=AISIGObL0Yd0yRMes8lbkxS-44sOIetELsaYyqpzvrw 388
tpcp/misc/_class_utils.py sha256=9K5-gs1KPSftFIFqiY1ZgfCongLHTVShBo5-WJ5j8OA 6134
tpcp/misc/_typed_iterator.py sha256=IaIQHGGd5HMmdxLJBqmp0LGnquiS1b6vKT5HoSm1CXs 15470
tpcp/optimize/__init__.py sha256=7Tj27Q3fvjhrgTA8k9qzxklKsvXxGwyoJXMqNvaTT2U 277
tpcp/optimize/_optimize.py sha256=tzu-73EGevD4XANUherVkx0EeTMFYU8_HKx5Qc46eaw 44617
tpcp/optimize/optuna.py sha256=DfjHjQamZtKxAQ0PUQKCBTkqCfHJdk7VZ7S2enOB6sk 42098
tpcp/parallel.py sha256=Qnu5TecgjW5iK_eByzrwHZvP8NqkKLmPxI-EiRo5UDA 6072
tpcp/testing/__init__.py sha256=SGh7tUSmbhMyZ9bQNadv6CMaXxUWlqULqr7FM4vqZHA 437
tpcp/testing/_algorithm_test_mixin.py sha256=Xf3iR6N07V7zcK1aHSTIcx9cQ1Jj0u8W96PhmKiw_Jg 7718
tpcp/testing/_regression_utils.py sha256=1qqCoXa4MF3Se-8aQ71DidYYtE63vb-5C6Y0Zfh3HSg 11531
tpcp/types.py sha256=bzgLfH7xfu1ZSLxgYTfXa0CdKTpD7az-CWFckYxzeYA 675
tpcp/validate/__init__.py sha256=qngsS7QtTnw8nVXL9T72agI251i8p5Fmf8K2qaZSgK4 546
tpcp/validate/_cross_val_helper.py sha256=NV6qJDMeXlAFp9aqxouZPNaqzLVkTf2Ue4fMEvaHrSY 3393
tpcp/validate/_scorer.py sha256=Bawqxs68QYALiAgkoclwWxD2SonWCCsCISEagZqkKzU 21305
tpcp/validate/_validate.py sha256=Q1A_eFVh0aP4oh75LRIml80MuadALv5Ahj9_clpTI5s 10245
tpcp-2.0.0.dist-info/LICENSE sha256=gqFeHwRtfRHNWqYCpbBRB4uBH7J3bduvFMZ6PuYIQgM 1073
tpcp-2.0.0.dist-info/METADATA sha256=elDmkGXVgmy_8cy-uJ1v3jcl8210ERgebVlWYS8vUh0 11125
tpcp-2.0.0.dist-info/WHEEL sha256=Nq82e9rUAnEjt98J6MlVmMCZb-t9cYE2Ir1kpBmnWfs 88
tpcp-2.0.0.dist-info/entry_points.txt sha256=MroDGYF-TsasGL7o2b5gvMm2D2_pj_XSQeDxvUvD5vc 58
tpcp-2.0.0.dist-info/RECORD — —

entry_points.txt

[pytest11]
tpcp_snapshots = tpcp.testing._regression_utils