I made a deep learning model using Keras and stored it in a folder named model.pkl
and for loading the model for deployment I used the code i.e.
import pickle
model = pickle.load(open('/home/samar/Desktop/ckd/model.pkl', 'rb'))
prediction = model.predict(data)
But it returned me as
IsADirectoryError: [Errno 21] Is a directory: '/home/samar/Desktop/ckd/model.pkl'
Though the folder is present there still it's giving the error.
I saved the model via model.save('model.pkl')
Using the model.save()
method doesn't actually pickle it, you would want to use the built-in model loader from keras to load your model, like this:
model = keras.models.load_model('/home/samar/Desktop/ckd/model.pkl')
prediction = model.predict(data)