Add small changes

README.md

@@ -12,12 +12,12 @@
 <!-- tocstop -->
 
 ## What is Datasets Similarity?
-The Dataset Similarity project deals with the
+The Dataset Similarity project deals with the   
 issue of comparing tabular datasets. 
 The idea of the project is that we will have a set of 
 datasets that we want to compare with each other
 and find out their similarity or distance.
-This project mainly focuses on comparing only two tables. 
+This project mainly focuses on comparing only two tables but it implements `similarity_runner` that can compare more tables. 
 The final similarity is calculated according
 to the similarity of individual columns based on their metadata. 
 Columns are compared by type and by content.
@@ -27,6 +27,7 @@ the main set (training) on which the program is
 tuned, and a validation set for validating the results.
 
 #### Definition of table similarity:
+Two tables are similar if they have at least *k* similar columns.
 ![img_1.png](docs/similarity_def.png)
 >Parameter **important columns** is user input.
 > 

similarity_framework/src/impl/comparator/comparator_by_column.py

@@ -107,7 +107,7 @@ def _compare(self, metadata1: Metadata, metadata2: Metadata) -> SimilarityOutput
             res = self.distance_function.compute(distances)
             res = res * res
         else:
-            res = 0
+            res = 1
         if table_distances:
             for dist in table_distances:
                 res += dist * dist

similarity_framework/src/impl/comparator/comparator_by_type.py

@@ -81,7 +81,12 @@ def add_comparator_type(self, comparator: HandlerType) -> "ComparatorByType":
         """
         Add comparator
         """
-        self.comparator_type.append(comparator)
+        if comparator == ColumnKindHandler:
+            self.kinds = True
+        if comparator == ColumnTypeHandler:
+            self.types = True
+        else:
+            self.comparator_type.append(comparator)
         return self
 
     def __compare_all_columns(

similarity_framework/src/impl/comparator/utils.py

@@ -42,8 +42,8 @@ def get_ratio(count1: int, count2: int) -> float:
     if count1 == 0 or count2 == 0:
         return 1
     if count1 < count2:
-        return count2 / count1
-    return count1 / count2
+        return count1 / count2
+    return count2 / count1
 
 
 def fill_result(metadata1_names, metadata2_names) -> pd.DataFrame: