[DOC] unify letter case

abl/bridge/base_bridge.py

@@ -11,7 +11,7 @@ class BaseBridge(metaclass=ABCMeta):
     A base class for bridging learning and reasoning parts.
 
     This class provides necessary methods that need to be overridden in subclasses
-    to construct a typical pipeline of Abductive learning (corresponding to ``train``),
+    to construct a typical pipeline of Abductive Learning (corresponding to ``train``),
     which involves the following four methods:
 
         - predict: Predict class indices on the given data samples.

abl/bridge/simple_bridge.py

@@ -15,7 +15,7 @@ class SimpleBridge(BaseBridge):
     """
     A basic implementation for bridging machine learning and reasoning parts.
 
-    This class implements the typical pipeline of Abductive learning, which involves
+    This class implements the typical pipeline of Abductive Learning, which involves
     the following five steps:
 
         - Predict class probabilities and indices for the given data samples.

docs/Intro/Basics.rst

@@ -75,8 +75,8 @@ To implement this process, the following five steps are necessary:
 
 2. Build the learning part
 
-    Build a machine learning model that can predict inputs to pseudo labels. 
-    Then, use ``ABLModel`` to encapsulate the model.
+    Build a base machine learning model that can predict inputs to pseudo labels. 
+    Then, use ``ABLModel`` to encapsulate the base model.
 
 3. Build the reasoning part
 
@@ -87,7 +87,8 @@ To implement this process, the following five steps are necessary:
 
 4. Define Evaluation Metrics
 
-    Define the metrics for measuring accuracy by inheriting from ``BaseMetric``.
+    Define the metrics by building a subclass of ``BaseMetric``. The metrics will 
+    specify how to measure performance during the training and testing of the ABL framework.
 
 5. Bridge learning and reasoning
 

docs/Intro/Bridge.rst

@@ -10,7 +10,7 @@
 Bridge
 ======
 
-Bridging learning and reasoning part to train the model is the fundamental idea of Abductive Learning. ABL-Package implements a set of bridge classes to achieve this.
+Bridging learning and reasoning parts to train the model is the fundamental idea of Abductive Learning. ABL-Package implements a set of bridge classes to achieve this.
 
 ``BaseBridge`` is an abstract class with the following initialization parameters: