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deeptime

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0.4.4 deeptime-0.4.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
deeptime-0.4.4-cp39-cp39-win_amd64.whl
deeptime-0.4.4-cp39-cp39-macosx_10_9_x86_64.whl
deeptime-0.4.4-cp39-cp39-macosx_11_0_arm64.whl
deeptime-0.4.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
deeptime-0.4.4-cp38-cp38-win_amd64.whl
deeptime-0.4.4-cp38-cp38-macosx_10_9_x86_64.whl
deeptime-0.4.4-cp38-cp38-macosx_11_0_arm64.whl
deeptime-0.4.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
deeptime-0.4.4-cp311-cp311-win_amd64.whl
deeptime-0.4.4-cp311-cp311-macosx_10_9_x86_64.whl
deeptime-0.4.4-cp311-cp311-macosx_11_0_arm64.whl
deeptime-0.4.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
deeptime-0.4.4-cp310-cp310-win_amd64.whl
deeptime-0.4.4-cp310-cp310-macosx_10_9_x86_64.whl
deeptime-0.4.4-cp310-cp310-macosx_11_0_arm64.whl

Wheel Details

Project: deeptime
Version: 0.4.4
Filename: deeptime-0.4.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Download: [link]
Size: 2087480
MD5: 1faa67271e47041adcb528ae1c4b0a05
SHA256: cdc500ce6c74ebae44145ea0717dbf8d7dc26b14457e5f0f1bd2c6e8938172a7
Uploaded: 2022-12-20 13:26:33 +0000

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METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: deeptime
Version: 0.4.4
Summary: Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation.
Author: Moritz Hoffmann, Martin Scherer, Tim Hempel, Andreas Mardt, Maaike Galama, Brian de Silva, Brooke Husic, Stefan Klus, Hao Wu, Nathan Kutz, Steven Brunton, Frank Noé
Project-Url: homepage, https://deeptime-ml.github.io
Project-Url: repository, https://github.com/deeptime-ml/deeptime
Project-Url: documentation, https://deeptime-ml.github.io
Project-Url: download, https://pypi.org/project/deeptime/#files
Keywords: markov-model,hidden-markov-model,time-series-analysis,covariance-estimation,koopman-operator,coherent-set-detection
Requires-Python: >=3.8
Requires-Dist: numpy (>=1.20)
Requires-Dist: scipy (>=1.9.0)
Requires-Dist: scikit-learn (>=1.1)
Requires-Dist: threadpoolctl (>=3.1.0)
Requires-Dist: torch; extra == "deep-learning"
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Requires-Dist: matplotlib; extra == "docs"
Requires-Dist: networkx; extra == "docs"
Requires-Dist: sphinxcontrib-katex; extra == "docs"
Requires-Dist: sphinx-gallery; extra == "docs"
Requires-Dist: torch; extra == "docs"
Requires-Dist: memory-profiler; extra == "docs"
Requires-Dist: mdshare; extra == "docs"
Requires-Dist: nbconvert; extra == "docs"
Requires-Dist: jupyter; extra == "docs"
Requires-Dist: tqdm; extra == "docs"
Requires-Dist: matplotlib; extra == "plotting"
Requires-Dist: networkx; extra == "plotting"
Requires-Dist: pytest (==7.1.2); extra == "tests"
Requires-Dist: pytest-cov (==3.0.0); extra == "tests"
Requires-Dist: coverage[toml]; extra == "tests"
Requires-Dist: pytest-xdist (==2.5.0); extra == "tests"
Requires-Dist: flaky (==3.7.0); extra == "tests"
Requires-Dist: tqdm (==4.64.0); extra == "tests"
Requires-Dist: cython (>=0.29.30); extra == "tests"
Requires-Dist: pybind11 (>=2.10.1); extra == "tests"
Requires-Dist: networkx; extra == "tests"
Requires-Dist: matplotlib; extra == "tests"
Requires-Dist: cmake (>=3.24); extra == "tests"
Requires-Dist: torch (>=1.12.0); (platform_system != "Darwin" and python_version < "3.11") and extra == "tests"
Requires-Dist: ninja; platform_system != "Windows" and extra == "tests"
Requires-Dist: pint (>=0.20); extra == "units"
Provides-Extra: deep-learning
Provides-Extra: docs
Provides-Extra: plotting
Provides-Extra: tests
Provides-Extra: units
Description-Content-Type: text/markdown
License-File: LICENSE.txt
License-File: AUTHORS
[Description omitted; length: 2130 characters]

WHEEL

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Generator: skbuild 0.16.4
Root-Is-Purelib: false
Tag: cp39-cp39-manylinux_2_17_x86_64
Tag: cp39-cp39-manylinux2014_x86_64

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