buildings-bench

View on PyPIReverse Dependencies (1)

2.0.0 buildings_bench-2.0.0-py3-none-any.whl

Wheel Details

Project: buildings-bench
Version: 2.0.0
Filename: buildings_bench-2.0.0-py3-none-any.whl
Download: [link]
Size: 60815
MD5: 717a34f9c36c032ee89658ec2cbc0162
SHA256: 906d5014431f5d5868f921103418ae262c05f7897bc2fe084d4cfe25d8ce4e84
Uploaded: 2024-11-07 23:01:59 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: buildings-bench
Version: 2.0.0
Summary: Large-scale pretraining and benchmarking for short-term load forecasting.
Author: Patrick Emami
Author-Email: Patrick.Emami[at]nrel.gov
Home-Page: https://nrel.github.io/BuildingsBench/
License: BSD 3-Clause
Keywords: forecasting,energy,buildings,benchmark
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.8
Requires-Dist: torch (==2.4.1)
Requires-Dist: pandas (>=2.0.0)
Requires-Dist: pyarrow
Requires-Dist: tomli
Requires-Dist: scikit-learn (==1.1.3)
Requires-Dist: tqdm
Requires-Dist: rliable
Requires-Dist: transformers (==4.34.0)
Requires-Dist: wandb; extra == "benchmark"
Requires-Dist: properscoring; extra == "benchmark"
Requires-Dist: matplotlib; extra == "benchmark"
Requires-Dist: seaborn; extra == "benchmark"
Requires-Dist: jupyterlab; extra == "benchmark"
Provides-Extra: benchmark
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 14075 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.38.4)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
.DS_Store sha256=zcq23h8yjF35JREV7Uoy8XG-UejIWmYlH2qzO0R9mvs 6148
buildings_bench/__init__.py sha256=SwyLt_Ie9hIsc0ORBFHWuklSBQNWslEycHsHwjSKJwY 228
buildings_bench/tokenizer.py sha256=Spar_EbVtNKUFawF3rImLjna4Z72OHxt4w8A4hAXqQ8 9981
buildings_bench/transforms.py sha256=OY1-BEjQssQCexhSlSvoF2-fjU4fDRb5OxsjZqx5-Qo 11949
buildings_bench/utils.py sha256=crJO8aHhfJLP4E1dWmtSeBxaOJ9CzwRLUiA7GR87ETg 3724
buildings_bench/configs/AveragePersistence.toml sha256=N_srJrHKWuwQ9Y7Y0mm2NctBlVSOFx9Jc-GmqzPtBjw 156
buildings_bench/configs/CopyLastDayPersistence.toml sha256=t1s-Tgk6lTHw_ZKrboGcBt60B-grovWYHo2weoot5A4 155
buildings_bench/configs/CopyLastWeekPersistence.toml sha256=t1s-Tgk6lTHw_ZKrboGcBt60B-grovWYHo2weoot5A4 155
buildings_bench/configs/DLinearRegression.toml sha256=iEwYLlGPgKM9fFHAvogW3IMZWWsCStVBE3Yz24vMOTE 174
buildings_bench/configs/DeepAutoregressiveRNN.toml sha256=j3vwp2k8Myvp-1_u1MQjHRl4YmRFfCwmY__zd4xS3E8 423
buildings_bench/configs/LinearRegression.toml sha256=iEwYLlGPgKM9fFHAvogW3IMZWWsCStVBE3Yz24vMOTE 174
buildings_bench/configs/TransformerWithGaussian-L.toml sha256=-zwIT68HF_E15pZjuJd5WLErWxuljsopw50lxTY0QHk 492
buildings_bench/configs/TransformerWithGaussian-M.toml sha256=qFaMiV_uFtW6yHNFZQIAI6juYD6zH2LVxaW0FJb7nPE 489
buildings_bench/configs/TransformerWithGaussian-S.toml sha256=emJ9BUxXgUOHnLIlUd7vHJVm44DM_0fp3ZstBBxWS_U 488
buildings_bench/configs/TransformerWithGaussian-t-L.toml sha256=HA7HkAKIqCWGvbcj2Fyf37mSNhXASD0NjLcevQt45M0 525
buildings_bench/configs/TransformerWithGaussian-t-M.toml sha256=OezsRJbiAOXeXZURIev_rVyQvdCkIbJ-mGaYoX3-7VM 522
buildings_bench/configs/TransformerWithGaussian-t-S.toml sha256=UKyl9wd1-aVUjDz2MTiDtb3sABwP_kqdw99wJZeqYyc 521
buildings_bench/configs/TransformerWithGaussian-th-L.toml sha256=jdXnSXbcvn9PcaDKIajC88-Z0XiqBUHSJ3K60oOYYI0 536
buildings_bench/configs/TransformerWithGaussian-th-M.toml sha256=KELGywsdDFc3ieRuvU8uHGjQDFGqz-StP_6iuYIw-vg 533
buildings_bench/configs/TransformerWithGaussian-th-S.toml sha256=XrkvCinXsyaTIsfM3gi-RSXAgczAk1xspv_sKLfGyvQ 533
buildings_bench/configs/TransformerWithGaussian-weather-L.toml sha256=G3b8ul3UxJW7sY-Oz1eq8lwoDIY8IfIzG93Arvv6C4A 690
buildings_bench/configs/TransformerWithGaussian-weather-M.toml sha256=IngJP0daRlU60TaZOPkUlPa_mCHhvtScz60Vmli1vUw 687
buildings_bench/configs/TransformerWithGaussian-weather-S.toml sha256=TYZM0dbsHTFlzvN486xMD5-a_7Le_wrlh3cgEcZ-SmM 685
buildings_bench/configs/TransformerWithMSE.toml sha256=7hxsIVi2PR4mZaX4jso0oxHH9YxmoNsQK88X3eua2Vc 483
buildings_bench/configs/TransformerWithTokenizer-L-344.toml sha256=0mCgcLz1Z3ejCOVjrIx0GBsTS6fonmn2-_m9DwZoXq0 418
buildings_bench/configs/TransformerWithTokenizer-L-474.toml sha256=vx65ZZwCzcKL4EFwled9Q0Mb7v8gH4lUq5VBCzPY5NY 418
buildings_bench/configs/TransformerWithTokenizer-L-8192.toml sha256=kKktHNwGDdEO5UbzMKpyyZWpPcHm2LldkH6vmnunyb8 416
buildings_bench/configs/TransformerWithTokenizer-L-ignore-spatial.toml sha256=ouaN5ir3HKb2tPjU_9hqgy9bcNY9eydO8JkOdAZSin8 418
buildings_bench/configs/TransformerWithTokenizer-L.toml sha256=ZTLrKJ3idG47JYOvhSR4akAgrfYUFcnBgaEc2uFzK9c 472
buildings_bench/configs/TransformerWithTokenizer-M.toml sha256=pfn6Kj4epdVqGcOzRiXzSS9VX0uYxbK5Uy8Z40WxVA4 469
buildings_bench/configs/TransformerWithTokenizer-S.toml sha256=50w2O9TqfebLbZ6yzgTggxTBcMK7vYsGY7AAG0ellAo 468
buildings_bench/data/__init__.py sha256=vVQ7MhWzzJoIOFufQD2VPVPzau_7nqGWFhTR1JBQyFE 12947
buildings_bench/data/buildings900K.py sha256=52ZiSUOgleKv-lnZufo26JDE902jUag4cnuvrgLn5_g 11586
buildings_bench/data/datasets.py sha256=Km2aWGRd-ygqQ1KXjFsLN-9bGI5ig8upyb0cwHo01w8 30973
buildings_bench/evaluation/__init__.py sha256=K1CmcqFjdZGFSoMiIW_-uIZg8hw74q5zQYNG0mzIS68 2768
buildings_bench/evaluation/aggregate.py sha256=IZG6SfHq8Xdiqruk59nKxrIZHypGVeJkVabLcs68hWA 5550
buildings_bench/evaluation/managers.py sha256=PZaFH9-ftR84NsieqtxBSRDwYJhyc8kRkvrfCdsfqZ4 19000
buildings_bench/evaluation/metrics.py sha256=mqzTw6-bi1qYvDWMx_LjEBhed7dzdqmHq_Pfy1e-wp0 5324
buildings_bench/evaluation/scoring_rules.py sha256=jwumkYiFxMoyELNzY46kHylVuPld9atBZYy157oxHEo 4959
buildings_bench/models/__init__.py sha256=roPKT100j5A2lNBydYq6liI6vVUmkAWDI8DeERCVmxM 3001
buildings_bench/models/base_model.py sha256=oFhpl_OEAuhISxMAUNI3edNSBv0SsNWcI4XhbgBaCZ0 3056
buildings_bench/models/deep_rnn.py sha256=56Y26wMPgKVQP7LyiodFzEKR2Yk06DPcQW_r9dvmQ7w 10438
buildings_bench/models/dlinear_regression.py sha256=0s0NCpnttViC1gcBIedl_P8UYpYst2sy7RWFtzeTm6s 2934
buildings_bench/models/linear_regression.py sha256=a5_5550Zfg1dP9vPpuYHWRnHySrEijgqPpSwQSJBKEk 1242
buildings_bench/models/persistence.py sha256=A8yKpZ9H-IXteGPh46BctEFgMT41UQMECvW5ER-IUuM 2656
buildings_bench/models/transformers.py sha256=EkcyUdmt1pQDbmD83CgpZ4Ns7XsMIVFLeM3o20yqMrE 18493
buildings_bench-2.0.0.dist-info/LICENSE sha256=3R6fWk2JNoku-6EZRyfTB4Ow45yPRR2UiDQSg0sQ1gA 1523
buildings_bench-2.0.0.dist-info/METADATA sha256=GAlIqXuffxg-motDqSYjkM4lXCpIP68kAhRJrzUNByE 15280
buildings_bench-2.0.0.dist-info/WHEEL sha256=2wepM1nk4DS4eFpYrW1TTqPcoGNfHhhO_i5m4cOimbo 92
buildings_bench-2.0.0.dist-info/top_level.txt sha256=c8aKhRzJcHb5ungeANFkjRpZjaF2dXRoHetAqFG4-kE 16
buildings_bench-2.0.0.dist-info/RECORD

top_level.txt

buildings_bench