This release is a pre-release and may not be stable for production use.
rlssm
rlssm is a Python package for fitting reinforcement learning (RL) models, sequential sampling models (DDM, RDM, LBA, ALBA, and ARDM), and combinations of the two, using Bayesian parameter estimation.
Parameter estimation is done at an individual or hierarchical level using PyStan, the Python Interface to Stan. Stan performs Bayesian inference using the No-U-Turn sampler, a variant of Hamiltonian Monte Carlo.
Documentation
The latest documentation can be found here: https://rlssm.readthedocs.io/
License
rlssm is licensed under the terms of the MIT license. See the file “LICENSE” for information on the history of this software, terms & conditions for usage, and a DISCLAIMER OF ALL WARRANTIES.
All trademarks referenced herein are property of their respective holders.
Copyright (c) 2021–, Laura Fontanesi, University of Basel.
1 maintainer
Metadata
1 maintainer
Release files for rlssm 0.1.1.dev0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| rlssm-0.1.1.dev0.tar.gz | 62.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| rlssm-0.1.1.dev0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 223.4 kB
Release files / rlssm-0.1.1.dev0.tar.gz
| Download URL | rlssm-0.1.1.dev0.tar.gz |
|---|---|
| Size | 62.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / rlssm-0.1.1.dev0-py3-none-any.whl
| Download URL | rlssm-0.1.1.dev0-py3-none-any.whl |
|---|---|
| Size | 161.4 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/52.0.0.post20210125 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.5
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