Merge branch 'Dev' of https://github.com/AbductiveLearning/ABL-Package into Dev

docs/Examples/HED.rst

@@ -139,7 +139,7 @@ Out:
 
         First true equation with length 5 in the training dataset:
     
-    .. image:: ../img/hed_dataset1.png
+    .. image:: ../_static/img/hed_dataset1.png
         :width: 300px
 
     .. code:: none
@@ -147,7 +147,7 @@ Out:
 
         First true equation with length 8 in the training dataset:
     
-    .. image:: ../img/hed_dataset2.png
+    .. image:: ../_static/img/hed_dataset2.png
         :width: 480px
 
     .. code:: none
@@ -155,7 +155,7 @@ Out:
 
         First false equation with length 5 in the training dataset:
     
-    .. image:: ../img/hed_dataset3.png
+    .. image:: ../_static/img/hed_dataset3.png
         :width: 300px
 
     .. code:: none
@@ -163,7 +163,7 @@ Out:
 
         First false equation with length 8 in the training dataset:
     
-    .. image:: ../img/hed_dataset4.png
+    .. image:: ../_static/img/hed_dataset4.png
         :width: 480px
 
 

docs/Examples/HWF.rst

@@ -131,7 +131,7 @@ Out:
 
         X in the 1001st data example (a list of images):
     
-    .. image:: ../img/hwf_dataset1.png
+    .. image:: ../_static/img/hwf_dataset1.png
         :width: 210px
 
     .. code:: none
@@ -145,7 +145,7 @@ Out:
 
         X in the 3001st data example (a list of images):
     
-    .. image:: ../img/hwf_dataset2.png
+    .. image:: ../_static/img/hwf_dataset2.png
         :width: 350px
 
     .. code:: none

docs/Examples/MNISTAdd.rst

@@ -124,7 +124,7 @@ Out:
 
         X in the first data example (a list of two images):
     
-    .. image:: ../img/mnist_add_datasets.png
+    .. image:: ../_static/img/mnist_add_datasets.png
         :width: 200px
 
 

docs/Intro/Basics.rst

@@ -18,7 +18,7 @@ The ABL-Package comprises three primary parts: **Data**, **Learning**, and
 **Reasoning**, corresponding to the three pivotal components of current
 AI: data, models, and knowledge. Below is an overview of the ABL-Package.
 
-.. image:: ../img/ABL-Package.png
+.. image:: ../_static/img/ABL-Package.png
 
 **Data** part manages the storage, operation, and evaluation of data efficiently.
 It includes the ``ListData`` class, which defines the data structures used in
@@ -64,7 +64,7 @@ Subsequently, these pseudo-labels are processed to minimize inconsistencies with
 which in turn revise the outcomes of the learning model, and then 
 fed back for further training ``ABLModel.train``.  
 
-.. image:: ../img/usage.png
+.. image:: ../_static/img/usage.png
 
 To implement this process, the following five steps are necessary:
 

docs/Intro/Datasets.rst

@@ -45,15 +45,15 @@ ABL-Package requires user data to be either structured as a tuple ``(X, gt_pseud
 
 As an illustration, in the MNIST Addition task, the data are organized as follows:
 
-.. image:: ../img/Datasets_1.png
+.. image:: ../_static/img/Datasets_1.png
    :width: 350px
    :align: center
 
-.. |data_example| image:: ../img/data_example.png
+.. |data_example| image:: ../_static/img/data_example.png
    :alt: alternate text
    :scale: 8%
 
-.. |instance| image:: ../img/instance.png
+.. |instance| image:: ../_static/img/instance.png
    :alt: alternate text
    :scale: 55%
 

docs/Overview/Abductive-Learning.rst

@@ -8,7 +8,7 @@ Here, a set of data examples is given, including training instances
 These data are then used to train a classifier model :math:`f`, 
 aiming to accurately predict the unseen data instances.
 
-.. image:: ../img/ML.png
+.. image:: ../_static/img/ML.png
    :align: center
    :width: 280px
 
@@ -46,7 +46,7 @@ base.
 
 The following figure illustrates this process:
 
-.. image:: ../img/ABL.png
+.. image:: ../_static/img/ABL.png
    :width: 800px
 
 We can observe that in the above figure, the left half involves machine

docs/README.rst

@@ -16,7 +16,7 @@ ABL-Package encapsulates advanced ABL techniques, providing users with
 an efficient and convenient package to develop dual-driven ABL systems 
 that leverage both data and knowledge.
 
-.. image:: img/ABL.png
+.. image:: _static/img/ABL.png
 
 Installation
 ------------