@@ -21,7 +21,7 @@ | |||||
# ABLkit: A Python Toolkit for Abductive Learning | # ABLkit: A Python Toolkit for Abductive Learning | ||||
**ABLkit** is an efficient Python toolkit for **Abductive Learning (ABL)**. | |||||
**ABLkit** is an efficient Python toolkit for [**Abductive Learning (ABL)**](https://www.lamda.nju.edu.cn/publication/chap_ABL.pdf). | |||||
ABL is a novel paradigm that integrates machine learning and | ABL is a novel paradigm that integrates machine learning and | ||||
logical reasoning in a unified framework. It is suitable for tasks | logical reasoning in a unified framework. It is suitable for tasks | ||||
where both data and (logical) domain knowledge are available. | where both data and (logical) domain knowledge are available. | ||||
@@ -1,10 +1,12 @@ | |||||
ABLkit | ABLkit | ||||
======= | ======= | ||||
**ABLkit** is an efficient Python toolkit for **Abductive Learning (ABL)**. | |||||
ABL is a novel paradigm that integrates machine learning and | |||||
logical reasoning in a unified framework. It is suitable for tasks | |||||
where both data and (logical) domain knowledge are available. | |||||
.. raw:: html | |||||
<p><b>ABLkit</b> is an efficient Python toolkit for <a href="https://www.lamda.nju.edu.cn/publication/chap_ABL.pdf"><b>Abductive Learning (ABL)</b></a>. | |||||
ABL is a novel paradigm that integrates machine learning and | |||||
logical reasoning in a unified framework. It is suitable for tasks | |||||
where both data and (logical) domain knowledge are available.</p> | |||||
.. image:: _static/img/ABL.png | .. image:: _static/img/ABL.png | ||||