create python object with parameters from json

utils.py

#!/usr/bin/env python
from sklearn.tree import *
import json

def object_decoder(obj):
    klass = globals()[obj['__type__']]
    objekt = klass()

    for key in obj:
        if key != '__type__':
            setattr(objekt, key, obj[key])

    return objekt

jsonText = '{"__type__": "DecisionTreeClassifier","min_impurity_split": 4.984242514902916e-8,"min_samples_leaf": 9, "max_features": "auto", "min_weight_fraction_leaf": 0.002740675560709782,"min_samples_split": 8,"max_depth": 73,"class_weight": "alanced","random_state": 30,"presort": true}'

model = json.loads(jsonText, object_hook=object_decoder)

print(model)