hw4/hw4_10.py

@@ -33,33 +33,8 @@ def error(gt, pred):
         err = (err+1) if gt[index]!=pred[index] else err
     return err/len(gt)
 
-def transform(features):
-    output_features = []
-    for index, feature in enumerate(features):
-        output_features.append([ 0 for _ in range(84) ])
-        output_features[index][0] = 1
-        
-        d_index = 1   
-        # 1-order
-        for i in feature:
-            output_features[index][d_index] = i
-            d_index += 1
-    
-        # 2-orde
-        for i in range(len(feature)):
-            for j in range(i, len(feature)):
-                output_features[index][d_index] = feature[i]*feature[j]
-                d_index += 1
-        # 3-order
-        for i in range(len(feature)):
-            for j in range(i, len(feature)):
-                for k in range(j, len(feature)):
-                    output_features[index][d_index] = i*j*k
-                    d_index += 1
-    return output_features
-
+if __name__ == '__main__':
     x, y = read_data(FILENAME)
-x = transform(x)
     x = form(x)
     prob = problem(y, x)
     lambda_powers = [-6, -4, -2, 0, 2]

hw4/hw4_11.py

@@ -36,6 +36,7 @@ def error(gt, pred):
     return err/len(gt)
 
 def new_split(x, y):
+    random.seed(datetime.datetime.now().timestamp())
     data = list(zip(x, y))
     random.shuffle(data)
     x, y = zip(*data)
@@ -43,37 +44,10 @@ def new_split(x, y):
     train_y, val_y = y[:120], y[120:]
     return (train_x, train_y), (val_x, val_y)
 
-def transform(features):
-    output_features = []
-    for index, feature in enumerate(features):
-        output_features.append([ 0 for _ in range(84) ])
-        output_features[index][0] = 1
-        
-        d_index = 1   
-        # 1-order
-        for i in feature:
-            output_features[index][d_index] = i
-            d_index += 1
-    
-        # 2-orde
-        for i in range(len(feature)):
-            for j in range(i, len(feature)):
-                output_features[index][d_index] = feature[i]*feature[j]
-                d_index += 1
-        # 3-order
-        for i in range(len(feature)):
-            for j in range(i, len(feature)):
-                for k in range(j, len(feature)):
-                    output_features[index][d_index] = i*j*k
-                    d_index += 1
-    return output_features
-
 x, y = read_data(FILENAME)
-x = transform(x)
 x = format(x)
 log_lambda = []
-for index in range(128):
-    random.seed(datetime.datetime.now().timestamp()+index)
+for _ in range(128):
     (train_x, train_y), (val_x, val_y) = new_split(x, y)
     prob = problem(train_y, train_x)
 

hw4/hw4_12.py

@@ -52,33 +52,7 @@ def new_split(x, y):
 
     return folds
 
-def transform(features):
-    output_features = []
-    for index, feature in enumerate(features):
-        output_features.append([ 0 for _ in range(84) ])
-        output_features[index][0] = 1
-        
-        d_index = 1   
-        # 1-order
-        for i in feature:
-            output_features[index][d_index] = i
-            d_index += 1
-    
-        # 2-orde
-        for i in range(len(feature)):
-            for j in range(i, len(feature)):
-                output_features[index][d_index] = feature[i]*feature[j]
-                d_index += 1
-        # 3-order
-        for i in range(len(feature)):
-            for j in range(i, len(feature)):
-                for k in range(j, len(feature)):
-                    output_features[index][d_index] = i*j*k
-                    d_index += 1
-    return output_features
-
 x, y = read_data(FILENAME)
-x = transform(x)
 x = format(x)
 log_lambda = []
 lambda_powers = [-6, -4, -2, 0, 2]