Wheelodex » Projects » autoemulate

autoemulate

View on PyPI — Reverse Dependencies (0)

0.1.0.post1 autoemulate-0.1.0.post1-py3-none-any.whl

Wheel Details

Project: autoemulate
Version: 0.1.0.post1
Filename: autoemulate-0.1.0.post1-py3-none-any.whl
Download: [link]
Size: 49947
MD5: 04b916e04d793ee46f140f7fc9dc16f2
SHA256: 0f68592a5bb18359527b4e2e54e5ef067c243ecf256509875da9f0dbc2171346
Uploaded: 2024-04-02 15:36:43 +0000

dist-info

METADATA · WHEEL · RECORD

METADATA

Metadata-Version: 2.1
Name: autoemulate
Version: 0.1.0.post1
Summary: An emulator platform for Digital Twins
Author: Martin Stoffel
Author-Email: mstoffel[at]turing.ac.uk
License: MIT
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Python: >=3.10,<3.13
Requires-Dist: iprogress (<0.5,>=0.4)
Requires-Dist: ipywidgets (<9.0.0,>=8.1.2)
Requires-Dist: joblib (<2.0.0,>=1.3.2)
Requires-Dist: lightgbm (<5.0.0,>=4.3.0)
Requires-Dist: matplotlib (<4.0.0,>=3.7.2)
Requires-Dist: mogp-emulator (<0.8.0,>=0.7.2)
Requires-Dist: numpy (<2.0,>=1.24)
Requires-Dist: pandas (<3.0,>=2.1)
Requires-Dist: scikit-learn (<2.0.0,>=1.3.0)
Requires-Dist: scikit-optimize (<0.10.0,>=0.9.0)
Requires-Dist: scipy (<2.0.0,>=1.11.3)
Requires-Dist: skorch (<0.16.0,>=0.15.0)
Requires-Dist: torch (<3.0.0,>=2.1.0)
Requires-Dist: tqdm (<5.0.0,>=4.66.2)
Provides-Extra: docs
Description-Content-Type: text/markdown
[Description omitted; length: 4954 characters]

WHEEL

Wheel-Version: 1.0
Generator: poetry-core 1.6.1
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
autoemulate/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
autoemulate/compare.py sha256=b4aJOUeI-6nx2kyQt2pHsCIG_4g7GvNuvEp1A11Crh8 17932
autoemulate/cross_validate.py sha256=YSSp1vByJadfpozcO_UUr3DtqhYdWiA28Zih6ymBLdo 2920
autoemulate/data_splitting.py sha256=Ttai6s92Km4lKofyIgVNM2YfAixC0FS1GrH9N6NNfm4 874
autoemulate/datasets.py sha256=4MMVA1I1JEZl-X7OJMEwZLbLoJfdIi23nEOg4eRGFGs 2043
autoemulate/emulators/__init__.py sha256=LdgKGjY_hSkI_jyKHMaSz1yvzETJiDmXkOi00AQZHJE 1163
autoemulate/emulators/gaussian_process.py sha256=5GsslTDHxUr21wNg2m_PUICXTsuVxkmet0XRGU5_2Hc 4130
autoemulate/emulators/gaussian_process_mogp.py sha256=n920ozUWA7wUSCYrU40uhwd48-NG0Y9xutaJdsNeTGE 2807
autoemulate/emulators/gradient_boosting.py sha256=ZwNsu-qL6KUrPRTlSvFRMMhSj_Pu6BGY7pt7j6tTN_k 4515
autoemulate/emulators/light_gbm.py sha256=rm22AHZ0bfw71iKFQFgyZKXIhUmiM2Ly_i78fHl7gwM 4872
autoemulate/emulators/neural_net_sk.py sha256=udi7OG5fu9eH1-uSQeEMwzO7EatY_uRiadqPiQK_I6g 5074
autoemulate/emulators/neural_net_torch.py sha256=ZsnrQxBZb2OilLGOty8tmENNBV19XNFuE34UaCSSjQ8 7795
autoemulate/emulators/neural_networks/__init__.py sha256=af6dIfRLH-R2IpCMxI-Al8sx80WVgEb5HM4vHLvSxRw 65
autoemulate/emulators/neural_networks/base.py sha256=A8OAf9vy6BCp1jFZVZ2NbdskKDGH4YwWsnx8JOZkFo8 1051
autoemulate/emulators/neural_networks/get_module.py sha256=xFFGELNcGMD7ggUTXBl5Py9itjVSpba8qSttJxaFBD8 710
autoemulate/emulators/neural_networks/mlp.py sha256=RT4GfqRjJpI9qznRdB7mYETdsXz6AVfOB4h66Q7bfSU 2426
autoemulate/emulators/neural_networks/rbf.py sha256=-B90QX3HSfyAingC8vDxP3XWbPK4LSZYSFEsnXyHOKs 11967
autoemulate/emulators/polynomials.py sha256=eNMH-w8hv-z_QT47Y_u0R_yv1buhZoOQY4sGxqWjhxw 2894
autoemulate/emulators/random_forest.py sha256=lN33WPMFFqNcrm5ccD-6TiYk-JMRjB9gdS0mwae_VuU 5121
autoemulate/emulators/rbf.py sha256=cA8UEARabYpxYBxlBMIcL1JwM1w7bx-j6CWFl4S3XPM 4686
autoemulate/emulators/support_vector_machines.py sha256=sDdtWNcTyPHgy2_Hy_f7ATNNeMLOV2LmwDRhVGpgz7k 4970
autoemulate/experimental_design.py sha256=eQTBMjYuiJ7yKBVGX-ieba6-43DC3QE07lYmuNb3A5M 2260
autoemulate/hyperparam_searching.py sha256=arKcs2PsmU49zycW_MJgAnutvTkLI2_PTKXnvkJNZeE 6063
autoemulate/logging_config.py sha256=RqJapVOeMvbNOc1u3S4BG-xh7j--HBmO9wlYN3-w3ew 2294
autoemulate/metrics.py sha256=_DJGpYKvGpTXIjtW0EZJNl01lpkPNbSWvpCMWVEt0KE 815
autoemulate/model_processing.py sha256=55FpiyaOd04b_egL6vbcP9W1Fut6nJkJ_nv1i_svWE0 4040
autoemulate/plotting.py sha256=IXIo_69RU4684abiwWnPesvncIXYBKLmmKlw1SH_y4U 10361
autoemulate/printing.py sha256=koNtm5nkSaVp0Q9iivQcA3ydfYI5GyPTi1AHM9Yoo6k 4972
autoemulate/save.py sha256=uTiXzoUDJ_Oxa_Eh4SKDwNEuZT7atY4oCa4NBnr-NxU 3158
autoemulate/simulations/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
autoemulate/simulations/epidemic.py sha256=xfm_3C3cbe7-O1TUMVWyHLnYS3PcDP7U1NlzlJ20xVg 1368
autoemulate/simulations/projectile.py sha256=XU0uJ7mqS3IjvvWr8iRpjBqq1-ebjT7sc1erng3wqmk 4856
autoemulate/utils.py sha256=ouqw4UlCZsuK7-2EZ9z2oJrpTeF-FHg3ic_UsR2WQ_o 15231
autoemulate-0.1.0.post1.dist-info/LICENSE sha256=WyOxWJRuFVN3g-DGWLFIN8iwLXas4pv2oExY5yCbyb0 1081
autoemulate-0.1.0.post1.dist-info/METADATA sha256=r_5xbb0gmw5hgxlznzYxNr9K0AQUVSY-RZnBZUKhWBg 6049
autoemulate-0.1.0.post1.dist-info/WHEEL sha256=Zb28QaM1gQi8f4VCBhsUklF61CTlNYfs9YAZn-TOGFk 88
autoemulate-0.1.0.post1.dist-info/RECORD — —