diff --git a/docs/Intro/Basics.rst b/docs/Intro/Basics.rst index 9f3b387..6017d69 100644 --- a/docs/Intro/Basics.rst +++ b/docs/Intro/Basics.rst @@ -13,7 +13,7 @@ which in turn revise the outcomes of the machine learning model, and then fed back into the machine learning model for further training. To implement this process, the following four steps are necessary: -.. image:: ../img/ABL-Package.jpg +.. image:: ../img/ABL-Package.png 1. Prepare datasets @@ -38,7 +38,3 @@ To implement this process, the following four steps are necessary: Use ``SimpleBridge`` to bridge the machine learning and reasoning part for integrated training and testing. - - - - diff --git a/docs/Intro/Quick Start.rst b/docs/Intro/Quick Start.rst index eb2390e..122ecbb 100644 --- a/docs/Intro/Quick Start.rst +++ b/docs/Intro/Quick Start.rst @@ -54,8 +54,8 @@ Afterward, we wrap it in ``ABLModel``. Read more about `build machine learning models `_. -Reasoning (Map pseudo labels to reasoning results) --------------------------------------------------- +Build the Reasoning Part +------------------------ First, we build a knowledge base that defines how to deduce logical results (i.e., calculate summation) from the pseudo labels diff --git a/docs/Overview/Abductive Learning.rst b/docs/Overview/Abductive Learning.rst index 38b0f2d..b336dd0 100644 --- a/docs/Overview/Abductive Learning.rst +++ b/docs/Overview/Abductive Learning.rst @@ -10,7 +10,7 @@ instance, :math:`y_i \in \mathcal{Y}` is the corresponding ground-truth label. These data are then used to train a classifier model :math:`f: \mathcal{X} \mapsto \mathcal{Y}` to accurately predict the unseen data. -.. image:: ../img/ML.jpg +.. image:: ../img/ML.png :width: 600px In **Abductive Learning (ABL)**, we assume that, in addition to data as @@ -47,7 +47,7 @@ base. The following figure illustrates this process: -.. image:: ../img/ABL.jpg +.. image:: ../img/ABL.png :width: 800px We can observe that in the above figure, the left half involves machine diff --git a/docs/README.rst b/docs/README.rst index b9344ad..3d25b23 100644 --- a/docs/README.rst +++ b/docs/README.rst @@ -8,7 +8,7 @@ dual-driven (data & knowledge driven) learning system, integrating and balancing the use of machine learning and logical reasoning in a unified model. -.. image:: img/ABL.jpg +.. image:: img/ABL.png Installation ------------ diff --git a/docs/img/ABL-Package.jpg b/docs/img/ABL-Package.jpg deleted file mode 100644 index 6706560..0000000 Binary files a/docs/img/ABL-Package.jpg and /dev/null differ diff --git a/docs/img/ABL-Package_old.jpg b/docs/img/ABL-Package_old.jpg deleted file mode 100644 index b07955d..0000000 Binary files a/docs/img/ABL-Package_old.jpg and /dev/null differ diff --git a/docs/img/ABL.jpg b/docs/img/ABL.jpg deleted file mode 100644 index 290e2c2..0000000 Binary files a/docs/img/ABL.jpg and /dev/null differ diff --git a/docs/img/ML.jpg b/docs/img/ML.jpg deleted file mode 100644 index 28ea46b..0000000 Binary files a/docs/img/ML.jpg and /dev/null differ