Update app.py

app.py

@@ -15,6 +15,8 @@ def cal_mse(X,y,b,w):
   return mse
 
 def gradient_descent(n_samples=100, intercept=4, slope=3, intercept_random=4, slope_random=3, gradient_descent='False', gradient_descent_type = 'Batch GradientDescent' , learning_rate= 0.01, iteration=100, mini_batchsize = 32):
+  if n_samples < mini_batchsize:
+      mini_batchsize = n_samples
   ### (1) generate simulated data points
   X = 2 * np.random.rand(n_samples, 1)
   y = intercept + slope * X + np.random.randn(n_samples, 1)