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scikit-downscale

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0.1.5 scikit_downscale-0.1.5-py3-none-any.whl

Wheel Details

Project: scikit-downscale
Version: 0.1.5
Filename: scikit_downscale-0.1.5-py3-none-any.whl
Download: [link]
Size: 33133
MD5: 6417f50f795c736bec426b5d4df6e10e
SHA256: 1a33c1954a69e625d244b6a75805eeced4a36da803a86a1b97939574a4f98e7f
Uploaded: 2022-06-17 16:01:23 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: scikit-downscale
Version: 0.1.5
Summary: Statistical downscaling and postprocessing models for climate and weather model simulations.
Author: Joe Hamman
Author-Email: jhamman[at]ucar.edu
Home-Page: https://github.com/jhamman/scikit-downscale
License: Apache
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.6
Requires-Dist: xarray (>=0.16)
Requires-Dist: scikit-learn (>=0.21)
[No description]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.36.2)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
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skdownscale/pointwise_models/__init__.py sha256=g0DDCbfFXvUvAup09wDmkq_bA31-wOgFRSm3k3kl9QA 548
skdownscale/pointwise_models/arrm.py sha256=otBf6ewLCPNMVS-DWbH11AJ2Xx3ETi-fvDYkua1dghM 5422
skdownscale/pointwise_models/base.py sha256=CX87b0x_y-zWWORXGDqLiVu8-v50dkEfVw24iXs0TX4 3674
skdownscale/pointwise_models/bcsd.py sha256=LfDKSypryTm8SfbEZEPH_l-tS7ag-DctXSlNctcwYMk 12104
skdownscale/pointwise_models/core.py sha256=Br-W5gbj8gUd1ggvUfSOojIsg2lX5nQQSe2Wis8N4TQ 15054
skdownscale/pointwise_models/gard.py sha256=rIwBO0QJ0u0p8OBxkTnhn1KqfwxchErgV61gDhizj9Y 17258
skdownscale/pointwise_models/groupers.py sha256=GRrjxVeU6ws9PYqa78cXc3CUq6w6X11FAXrLNQAbpWg 3018
skdownscale/pointwise_models/grouping.py sha256=EdXGEtYcCBCKPfot10PiY8UfNigr84mAI72b9HFgbSg 4203
skdownscale/pointwise_models/quantile.py sha256=JeQdLifrjLDfnsf4nX7CcBClo9PhNLUBXvNU1xWNmgU 28873
skdownscale/pointwise_models/trend.py sha256=CQxOb_kXvGD50pVlHuSbzMx7iDWyy4d1sjRrNalR818 2383
skdownscale/pointwise_models/utils.py sha256=v_agbMQ_nZTUcOf5P0j25q5Nmfm_FffXBv5uspTpRs0 1236
skdownscale/pointwise_models/zscore.py sha256=gYyfCLX-KQXMm5UJl499YK9Mwc8TYQgc7UC9vfLb-40 12042
scikit_downscale-0.1.5.dist-info/LICENSE sha256=tAkwu8-AdEyGxGoSvJ2gVmQdcicWw3j1ZZueVV74M-E 11357
scikit_downscale-0.1.5.dist-info/METADATA sha256=W5vTdqHofPd3I9h-RondgZtEO9nkKunB4AFwcbt7Abs 896
scikit_downscale-0.1.5.dist-info/WHEEL sha256=OqRkF0eY5GHssMorFjlbTIq072vpHpF60fIQA6lS9xA 92
scikit_downscale-0.1.5.dist-info/top_level.txt sha256=lzn0-mjMsfsaYW84aCVqDCygo2qSNGfNgIBw0pak7kU 12
scikit_downscale-0.1.5.dist-info/RECORD — —

top_level.txt

skdownscale