Saving and loading models

by: Kevin Broløs & Chris Cave
(Feyn version 2.0 or newer)

Models can be saved to a file for use at a later time or place. Here is an example how:

import feyn
from feyn.datasets import make_classification

# Generate a dataset and put it into a dataframe
train, test = make_classification()

# Connect to a QLattice and run a classification simulation
ql = feyn.connect_qlattice()
models = ql.auto_run(
    data=train,
    output_name='y',
    kind='classification'
)

# Save a model to a file
models[0].save('my_model.json')

You can load the Model using feyn.Model.load.

from feyn import Model

model = Model.load('my_model.json')

prediction = model.predict(test)

Once a Model is saved and selected, you can load them into any Python environment to do predictions. You don't need access to a QLattice for this.

A loaded Model is no different from a Model sampled from the QLattice. For example, you can resume fitting a Model after loading it.