laptop commit linear regression

code_regression.py

@@ -53,8 +53,8 @@ def read_words(input_path):
     return vocabulary
 
 def train(vocabulary,input_train,expected_train):
-    learning_rate=0.000001
-    #learning_precision=0.0000001
+    learning_rate=0.00001
+    #learning_precision=0.000001
     words_vocabulary={}
     with open(input_train,encoding='utf-8') as input_file, open(expected_train,encoding='utf-8') as expected_file:
         for line, exp in zip(input_file,expected_file):
@@ -65,7 +65,7 @@ def train(vocabulary,input_train,expected_train):
     iteration=0
     loss_sum=0.0
     error=10.0
-    max_iteration=len(vocabulary) + 5000
+    max_iteration=10000
     for i in vocabulary['count'].keys():
         weights[i]=random.uniform(-0.01,0.01)
     # delta>learning_precision and