From eaecb60962f134a788deb0abaf5ade849b8c4277 Mon Sep 17 00:00:00 2001
From: Pavan Mandava <mspavan04@gmail.com>
Date: Sun, 17 May 2020 20:45:03 +0200
Subject: [PATCH] Training print added

---
 classifier/linear_model.py | 8 ++++++++
 1 file changed, 8 insertions(+)

diff --git a/classifier/linear_model.py b/classifier/linear_model.py
index ae3ed22..4275a35 100644
--- a/classifier/linear_model.py
+++ b/classifier/linear_model.py
@@ -126,9 +126,15 @@ class MultiClassPerceptron:
         for label in labels:
             self.perceptron_dict[label] = Perceptron(label, get_sample_weights_with_features(-0.5), -0.5)
 
+        next_print = int(self.epochs/10)
+
         # Training Iterations
         for epoch in range(self.epochs):
 
+            if epoch >= next_print:
+                print('Training Multi-Class Perceptron Classifier..... (', epoch, '/', self.epochs, ')')
+                next_print = next_print + int(self.epochs/10)
+
             # get a random number within the size of training set
             rand_num = random.randint(0, train_len-1)
             # pick a random data instance with the generated random number
@@ -169,6 +175,8 @@ class MultiClassPerceptron:
         if X_test is None or len(X_test) <= 0:
             raise Exception('Testing Data cannot be empty')
 
+        print('Predicting..... ')
+
         y_test = []
         labels = list(self.perceptron_dict.keys())
         for test_inst in X_test: