mlpp-lib

View on PyPIReverse Dependencies (0)

0.15.0 mlpp_lib-0.15.0-py3-none-any.whl

Wheel Details

Project: mlpp-lib
Version: 0.15.0
Filename: mlpp_lib-0.15.0-py3-none-any.whl
Download: [link]
Size: 40067
MD5: 59340c6a58ac259ea6bc72077c79538a
SHA256: bdb60294286acbf08a4a32e74984d6c66cede73775bbe5eccff27e04498e52dd
Uploaded: 2025-02-10 10:02:44 +0000

dist-info

METADATA

Metadata-Version: 2.3
Name: mlpp-lib
Version: 0.15.0
Summary: Collection of methods for ML-based postprocessing of weather forecasts.
Author: Daniele Nerini
Author-Email: daniele.nerini[at]meteoswiss.ch
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Requires-Python: >=3.9,<3.11
Requires-Dist: dask
Requires-Dist: numba; extra == "extended"
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: properscoring (<0.2,>=0.1)
Requires-Dist: scipy
Requires-Dist: tensorflow (<2.17.0,>=2.16.1); extra == "tensorflow" or extra == "extended"
Requires-Dist: tensorflow-cpu (<2.17.0,>=2.16.1); extra == "tensorflow-cpu"
Requires-Dist: tensorflow-probability (<0.25.0,>=0.24.0)
Requires-Dist: tf-keras (<2.17.0,>=2.16.0)
Requires-Dist: xarray
Requires-Dist: zarr; extra == "extended"
Provides-Extra: extended
Provides-Extra: tensorflow
Provides-Extra: tensorflow-cpu
[No description]

WHEEL

Wheel-Version: 1.0
Generator: poetry-core 2.0.1
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
mlpp_lib/__init__.py sha256=rWGfTjy-TZWM_7x6Zt4e73psbf2GZ1lYOThfP51T7LY 74
mlpp_lib/callbacks.py sha256=y7amn6jpE63Pg3z484zgFDZINkEE9-mRJXyhSKKLOUQ 1624
mlpp_lib/datasets.py sha256=D9dxmSMwKk53coGE4ZOzuciL_1Anks6TLXkpwrA1xho 25297
mlpp_lib/decorators.py sha256=LYzfs8mhVVXTNOCXiGJQFaA1I2QSfa5hn7-VrfdhMPQ 444
mlpp_lib/ensemble.py sha256=qSckepO-tvVo4oKqeWRCbhITI5yaX7P0Zr_rM7B8v8I 5754
mlpp_lib/losses.py sha256=fUK3nqekHkdarook9yd-AAOAeV-2bVaGDyhwi8rRDtg 21774
mlpp_lib/metrics.py sha256=mIrt3B7Ydu7HUH4B1keQ63KUNmmZzqd47YraZhgQyMg 1179
mlpp_lib/model_selection.py sha256=MZn6gs-u13y0QRsPg_AzrsPMCfuPvfRCBGX8uHOZG7o 24012
mlpp_lib/models.py sha256=cMW5SfcdpkZdJ_5jD0BUkCgFzZMQFs9AqU3Ez-6H7ls 18199
mlpp_lib/normalizers.py sha256=zcmVDOe7B4aZBEXZwklitm4CWK56yZv8okUfkAGnP8g 14366
mlpp_lib/physical_layers.py sha256=6SDuwI_3oTT3XCqm5zdF27xTJrF6KjTr1ZxTXFd-I88 2048
mlpp_lib/probabilistic_layers.py sha256=YRsKNR06XkLaXfkzv0XTNTQUJK4LK1hYyW13fFDEuTg 61249
mlpp_lib/standardizers.py sha256=6O__t66v9CzPXgmpw7EssLwYumF5T4mEWdzM9-O9h4c 1432
mlpp_lib/train.py sha256=JNF_yrq4ybPcoOTAB7_Lg5AzPMsVTPAEZatRnOKgiSg 4397
mlpp_lib/utils.py sha256=BqHhF4gA4nPwAxj04MOPXfR4nU6PGlD9h3CzqKy6b-o 8604
mlpp_lib-0.15.0.dist-info/LICENSE sha256=UJUkLKNYPs-lnGljp43CyDTF3vfh3E0w5HELPUcN3tE 1518
mlpp_lib-0.15.0.dist-info/METADATA sha256=-CiclyxlvMI9gPzrF4LLrWwNgMigQsWg7ww8lOAzEvA 963
mlpp_lib-0.15.0.dist-info/WHEEL sha256=IYZQI976HJqqOpQU6PHkJ8fb3tMNBFjg-Cn-pwAbaFM 88
mlpp_lib-0.15.0.dist-info/RECORD