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modelflows

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0.0.2 modelflows-0.0.2-py3-none-any.whl

Wheel Details

Project: modelflows
Version: 0.0.2
Filename: modelflows-0.0.2-py3-none-any.whl
Download: [link]
Size: 16654
MD5: cb3fe1534854923e654d654693dbb63f
SHA256: d004fc6e8a8b92a7879fd717c986806293a452b4c11739308a3d1e48f48711d5
Uploaded: 2024-04-24 15:01:00 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: modelflows
Version: 0.0.2
Summary: Conditional normalizing flows for emulating grids of stellar models
Author: Marc Hon
Home-Page: https://github.com/mtyhon/modelflows
License: MIT
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: pandas
Requires-Dist: tqdm
Requires-Dist: corner
Requires-Dist: matplotlib
Requires-Dist: torch (>=2.0.0)
Requires-Dist: scikit-learn (>=1.3.0)
Requires-Dist: arviz (>=0.12.1)
Requires-Dist: zuko (==0.3.2)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 5813 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.43.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
modelflows/__init__.py sha256=tmv9Uxxw0VXJ5XnCoZqaUXjldO0qcDrCDCFX0DBn-Ss 95
modelflows/config.py sha256=UipBsTs4tkw5npuW--ESl09eOsqGbCSc64wlx-hmwdU 174
modelflows/emulator.py sha256=fFiTY7O6EEsbjs9Q87wEtQQUEMqd9mCYdpkt6YAHW2I 6779
modelflows/likelihoods.py sha256=pouS5Vl2imIma_s0s_HAPhXTADRgMiHnKhQOJG94Bj4 3002
modelflows/sampler.py sha256=7_lx-ESFku7zgbmTPfExkzlBMrRneDd_YgVDfcq5MlE 7896
modelflows/utils.py sha256=rFJjAr24rwc8DZBH6UhvTwMZgDRcFgm25ZrlY3HpWPU 3422
modelflows/version.py sha256=QvlVh4JTl3JL7jQAja76yKtT-IvF4631ASjWY1wS6AQ 22
modelflows/data/scaler/cnfdwarf_d01.scaler sha256=jdG65XKAIHhfcCPomq86OCIJnqo6K_cnkFRZ_xQ5l14 623
modelflows/data/scaler/cnfdwarf_mms_core.scaler sha256=v7wQj3xzLAFDaXhGv397gYSP7s3_RroCNpNS7s_0wG0 719
modelflows/data/scaler/cnfdwarf_mms_shell.scaler sha256=RqvnGqRD9QQQ0FSl_xuhxt5FCS-ZHcBTtlBMMI-a7Yg 719
modelflows/data/scaler/cnfdwarf_teff.scaler sha256=nMWWnCQ8OwR0s7m3bFNqAYcC2xMIyeJDt-ad6x4AEG4 623
modelflows/data/scaler/cnfgiant_d01.scaler sha256=hwOjm1FTrGmBqLsVic_P_daTwJQ4GgtNZoChXg8RtsA 719
modelflows/data/scaler/cnfgiant_mms_core.scaler sha256=39fuu-abugCAs0DshbeucrzjovWnCJFVe-ISqDvc9ZE 719
modelflows/data/scaler/cnfgiant_mms_shell.scaler sha256=CTKaSqN05_5P4o0eTcRRHtbGv6HiLmeyhhJmj7_LwGA 719
modelflows/data/scaler/cnfgiant_teff.scaler sha256=dJdhwkbWyY3J35xPLPW-OaeLmzfMOZIxldMF-198QrE 623
modelflows-0.0.2.dist-info/LICENSE sha256=653PcRqZVJUDmLZiAn2MgZENSJha3qeeRt3hn2Sh9uE 1065
modelflows-0.0.2.dist-info/METADATA sha256=g-VCgBgAty7Q6jjoG_iuDNBoGo_5LgxP3rXb04A2l7c 6340
modelflows-0.0.2.dist-info/WHEEL sha256=GJ7t_kWBFywbagK5eo9IoUwLW6oyOeTKmQ-9iHFVNxQ 92
modelflows-0.0.2.dist-info/top_level.txt sha256=QS904eq-FTM_TR9RuUIgeqVaEgYaOAqasmzOTahq-AE 11
modelflows-0.0.2.dist-info/RECORD — —

top_level.txt

modelflows