SMDP-BCQ
This repository contains an installable version of the SMDP-BCQ model.
Installation
The model has been tested using Python 3.9 and PyTorch 1.9. To install using Pip:
$ python3 -m pip install pytorch_smdbcq
Demo
$ python3 -m smdbcq --demo
See also
Our application of this model to warfarin dosing (under review) and experiments validating its estimation (CHIL 2022).
Metadata
Release files for pytorch-smdbcq 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pytorch-smdbcq-0.0.1.tar.gz | 8.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pytorch_smdbcq-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 19.9 kB
Release files / pytorch-smdbcq-0.0.1.tar.gz
| Download URL | pytorch-smdbcq-0.0.1.tar.gz |
|---|---|
| Size | 8.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
11706d2ab4652281a32a3e858e5fc67575eb768873b432447b6929c3fb1d480b
|
|
BLAKE2b-256 checksum How to use checksums |
4f35bf53e7567bf838c8d79f44b8339835e997acb34eb97774c5ba69013b63cb
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.5
|
Release files / pytorch_smdbcq-0.0.1-py3-none-any.whl
| Download URL | pytorch_smdbcq-0.0.1-py3-none-any.whl |
|---|---|
| Size | 11.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
1fef6acd9d61714cc245e1cc0ccc35aa0e7663216fb1746b619f56827fe4b9b0
|
|
BLAKE2b-256 checksum How to use checksums |
0b6efc54ebdb887b28bcc31576e14764971e884cf9128127e500ebeeaf59c703
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.5
|