I was following the Variational Classifier tutorial posted on Pennylane to teach myself the fundamentals of Pennylane. Unfortunately, received an unexpected error. Not sure if the recent development changed something or not.

**Code**

```
weights = weights_init
bias = bias_init
for it in range(100):
batch_index = np.random.randint(0, len(x), (batch_size,))
X_batch = X[batch_index]
Y_batch = Y[batch_index]
weights, bias = opt.step(cost, weights, bias, X=X_batch, Y=Y_batch)
# compute accuracy
predictions = [np.sign(variational_classifier(weights, bias, x)) for x in x]
current_cost = cost(weights, bias, X, Y)
acc = accuracy(Y, predictions)
print(f"Iter: {it+1:4d} | Cost: {current_cost:0.7f} | Accuracy: {acc:0.7f}")
```

**Produced Error**

```
TypeError Traceback (most recent call last)
<ipython-input-27-1016c24e2061> in <cell line: 3>()
5 X_batch = X[batch_index]
6 Y_batch = Y[batch_index]
----> 7 weights, bias = opt.step(cost, weights, bias, X=X_batch, Y=Y_batch)
8
9 # compute accuracy
7 frames
/usr/local/lib/python3.10/dist-packages/autograd/wrap_util.py in unary_f(x)
13 else:
14 subargs = subvals(args, zip(argnum, x))
---> 15 return fun(*subargs, **kwargs)
16 if isinstance(argnum, int):
17 x = args[argnum]
TypeError: cost() got an unexpected keyword argument 'X'
```

**Tutorial Following:** Variational classifier | PennyLane Demos

Can someone help me? how to resolve this?