TypeError: 'numpy.ndarray' object is not callable!

[innat]

I was trying to implement CapsuleNet for classifying digits. All the images are RGB images and resize to 32 X 32 and dataset has 10 classification output.

X_train_all.shape: (745, 32, 32, 3)

y_train_all.shape: (745, 10)

First, define the CapsNet model which takes the following parameters.

# define model
model = CapsNet()

Ok, I think this chunk of information only enough here. However, then I define a function for data augmentation and both training the model. This function will iteratively train on the shuffling fold of the data set, defined below.

kfold = KFold(n_splits=10, shuffle=True, random_state=42)
for train, val in kfold.split(X_train_all, y_train_all):
    print ('Fold: ', Fold)
    
    X_train = X_train_all[train]
    X_val = X_train_all[val]

    y_train = y_train_all[train]
    y_val = y_train_all[val]

    # train the model with data augmentation    
    train()

    Fold = Fold + 1

The train function above, defined by you as follows:

def train(model, data, epoch_size_frac=1.0):

    # unpacking the data
    (x_train, y_train), (x_val, y_val) = data

    # compile the model
    model.compile()
    

    def train_generator(x, y, batch_size, shift_fraction=0.):
        train_datagen = ImageDataGenerator

    # Training with data augmentation. 
    model.fit_generator

    return model

Now, when I start training, I get following error:

TypeError                                 Traceback (most recent call last)
<ipython-input-67-a8ca211d12a2> in <module>()
     19 
     20 
---> 21     train(model = model, data = ((X_train, y_train), (X_val, y_val)), epoch_size_frac = 0.5)
     22 
     23 

TypeError: 'numpy.ndarray' object is not callable