A package to hold various functions to support training of ML models on ECMWF data.
Project description
anemoi-datasets
DISCLAIMER This project is BETA and will be Experimental for the foreseeable future. Interfaces and functionality are likely to change, and the project itself may be scrapped. DO NOT use this software in any project/software that is operational.
Datasets for training data-driven weather forecasts.
Documentation
The documentation can be found at https://anemoi-datasets.readthedocs.io/.
Install
Install via pip with:
$ pip install anemoi-datasets
License
Copyright 2022, European Centre for Medium Range Weather Forecasts.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
In applying this licence, ECMWF does not waive the privileges and immunities
granted to it by virtue of its status as an intergovernmental organisation
nor does it submit to any jurisdiction.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
anemoi-datasets-0.1.1.tar.gz
(67.3 kB
view details)
File details
Details for the file anemoi-datasets-0.1.1.tar.gz.
File metadata
- Download URL: anemoi-datasets-0.1.1.tar.gz
- Upload date:
- Size: 67.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 1f786cba3d80dd71f0fb75f5a15db3bb333b0fd17181be6e4c719bb40ac0bedf |
|
| MD5 | fb03ad3f7b8dfbf3e91e8e20d72832db |
|
| BLAKE2b-256 | 4f2eec05bc9b637157d5d3d2339d69a23e87fdbdd29f8bc86e10d5e18bce9106 |
