import base64
import pickle
from io import BytesIO

from sklearn.svm import LinearSVC
from sklearn.calibration import CalibratedClassifierCV


# create classifier
clf = CalibratedClassifierCV(LinearSVC())

# create byte-string with pickled model
model_pickle_bytes = BytesIO()
pickle.dump(clf, model_pickle_bytes)

# create cube params odict
cube_params = {
    "model_pickled": base64.encodebytes(model_pickle_bytes.getvalue()).decode("ascii")
}

# save to JSON
json_dict = json.dumps(cube_params)

####

# load from JSON
clf_loaded = pickle.load(BytesIO(base64.decodebytes(cube_params["model_pickled"].encode("ascii"))))