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Jvis-learn

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0.0.12 Jvis_learn-0.0.12-py3-none-any.whl

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Project: Jvis-learn
Version: 0.0.12
Filename: Jvis_learn-0.0.12-py3-none-any.whl
Download: [link]
Size: 84001
MD5: 26af2e2203b9d7d3e0b1d0ea95157f31
SHA256: 610a21de40a687b0d5bd8d53b8048038998b90553baa2ec02231511eb66c0d27
Uploaded: 2021-05-11 13:24:43 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: Jvis-learn
Version: 0.0.12
Summary: A generalization of t-SNE and UMAP to single-cell multimodal omics
Maintainer: Van Hoan Do
Maintainer-Email: vanhoan310[at]gmail.com
Home-Page: https://github.com/canzarlab/Jvis-learn
License: BSD
Keywords: dimension reduction t-sne umap manifold multimodal data
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved
Classifier: Programming Language :: C
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.8
Requires-Dist: numpy (>=1.17)
Requires-Dist: scikit-learn (<=0.24.1,>=0.23.0)
Requires-Dist: scipy (>=1.3.1)
Requires-Dist: numba (!=0.47,>=0.46)
Requires-Dist: pynndescent (>=0.4); extra == "performance"
Requires-Dist: tbb (>=2019.5); extra == "performance"
Requires-Dist: pandas; extra == "plot"
Requires-Dist: matplotlib; extra == "plot"
Requires-Dist: datashader; extra == "plot"
Requires-Dist: bokeh; extra == "plot"
Requires-Dist: holoviews; extra == "plot"
Requires-Dist: colorcet; extra == "plot"
Provides-Extra: performance
Provides-Extra: plot
Description-Content-Type: text/x-rst
[Description omitted; length: 3178 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.34.2)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

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Jvis/distances.py sha256=AEiHlMPSkmFzZ1nh8aNg7EvK0aJGOp4tpW1nd0vxOvU 33397
Jvis/jumap_.py sha256=oQsg572kWSaqgnxdv20aY60hxtdEGGnY6V8OVeFjYNw 135784
Jvis/layouts.py sha256=gktWRJNq9MbW5ZO3cURg3Rvro9iEaSzJF_qOkoo7c30 17780
Jvis/nndescent.py sha256=TfMaEYkPfw0x8_TCoCVRP2rBf_5YWgVRfKaNCv2hFAM 8920
Jvis/plot.py sha256=Knk0Pq86SjGBrasiFtGPpR3MpH10g_8t4ynbFNee1rs 51766
Jvis/rp_tree.py sha256=YvpFRfqfeaK5KNXbb0EE0YYGi4qKJrrESau7CV_xulI 27471
Jvis/sparse.py sha256=ON99Vyh57sidGiiT0ONEsXUKvj_L2KRnCdOrIof-O3g 15702
Jvis/sparse_nndescent.py sha256=PJJpdvefshAjYRq6YUFkWfogN4XtjPwy0zWPyt-oSAA 12348
Jvis/spectral.py sha256=n-vugYs576QU_D39C6kdruV-pa_CFj_N_Irt3oD-Hf0 12165
Jvis/utils.py sha256=sMQUtWusnpt147128OgKxhB3Ey29EQ1YaQ-fsxggwOk 17523
Jvis/validation.py sha256=ZWybKlgQJ4RFdzXKHzm3gnsZejdnaquDjyEebWRLZzQ 2460
Jvis_learn-0.0.12.dist-info/LICENSE.txt sha256=w64yRtRm5zQbqmOirSmN1gXl9z37tqj-eCIyXo6hVUU 1546
Jvis_learn-0.0.12.dist-info/METADATA sha256=nQcIVkF4smivVLRt7msIDjwUtt_s8b6xAisb5A_PGfM 4777
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Jvis_learn-0.0.12.dist-info/RECORD — —

top_level.txt

Jvis