TorchSurv: A Lightweight Package for Deep Survival Analysis
Fuente:
arXiv
Salvato in:
| Autori principali: | , , , , , , |
|---|---|
| Natura: | Preprint |
| Pubblicazione: |
2024
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866929316632199168 |
|---|---|
| author | Monod, Mélodie Krusche, Peter Cao, Qian Sahiner, Berkman Petrick, Nicholas Ohlssen, David Coroller, Thibaud |
| author_facet | Monod, Mélodie Krusche, Peter Cao, Qian Sahiner, Berkman Petrick, Nicholas Ohlssen, David Coroller, Thibaud |
| contents | TorchSurv is a Python package that serves as a companion tool to perform deep survival modeling within the PyTorch environment. Unlike existing libraries that impose specific parametric forms, TorchSurv enables the use of custom PyTorch-based deep survival models. With its lightweight design, minimal input requirements, full PyTorch backend, and freedom from restrictive survival model parameterizations, TorchSurv facilitates efficient deep survival model implementation and is particularly beneficial for high-dimensional and complex input data scenarios. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_10761 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | TorchSurv: A Lightweight Package for Deep Survival Analysis Monod, Mélodie Krusche, Peter Cao, Qian Sahiner, Berkman Petrick, Nicholas Ohlssen, David Coroller, Thibaud Machine Learning TorchSurv is a Python package that serves as a companion tool to perform deep survival modeling within the PyTorch environment. Unlike existing libraries that impose specific parametric forms, TorchSurv enables the use of custom PyTorch-based deep survival models. With its lightweight design, minimal input requirements, full PyTorch backend, and freedom from restrictive survival model parameterizations, TorchSurv facilitates efficient deep survival model implementation and is particularly beneficial for high-dimensional and complex input data scenarios. |
| title | TorchSurv: A Lightweight Package for Deep Survival Analysis |
| topic | Machine Learning |
| url | https://arxiv.org/abs/2404.10761 |