Metadata-Version: 2.1
Name: dqs
Version: 0.1
Summary: dqs: Neural network toolkit for distribution regression, quantile regression, and survival analysis
Home-page: https://github.com/IBM/dqs
Author: Hiroki Yanagisawa
Author-email: yanagis@jp.ibm.com
Maintainer: Hiroki Yanagisawa
Maintainer-email: yanagis@jp.ibm.com
License: Apache 2.0
Download-URL: https://github.com/IBM/dqs
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3 :: Only
Requires-Python: >=3.6
License-File: LICENSE
Requires-Dist: torch (>=1.5)
Requires-Dist: numpy (>=0.1)

# Neural Network Toolkit for Distribution Regression, Quantile Regression, and Survival Analysis

Python library for distribution regression, quantile regression, and survival analysis.

This is a preliminary version, and the codes will be updated in the near future.  Preliminary [documentation](https://ibm.github.io/dqs/) is also available.


# Citation

Please consider citing this paper.

H. Yanagisawa, "Proper Scoring Rules for Survival Analysis," to appear in ICML 2023, 2023.


