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saving and loading objects from file using jsonpickle

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问题 I have the following simple methods for writing a python object to a file using jsonpickle: def json_serialize(obj, filename, use_jsonpickle=True): f = open(filename, 'w') if use_jsonpickle: import jsonpickle json_obj = jsonpickle.encode(obj) f.write(json_obj) else: simplejson.dump(obj, f) f.close() def json_load_file(filename, use_jsonpickle=True): f = open(filename) if use_jsonpickle: import jsonpickle json_str = f.read() obj = jsonpickle.decode(json_str) else: obj = simplejson.load(f)

Model persistence in Scikit-Learn?

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问题 I am trying to save and load scikit-learn model but facing issues when the save and load are happening on different python versions. Here what I have tried: Using pickle to save a model in python3 and deserialize in python2.This works for some of the models like LR,SVM but it fails for KNN. >>> pickle.load(open("inPy3.pkl", 'rb')) #KNN model ValueError: non-string names in Numpy dtype unpickling Also , I tried to serialize and deserialize in json using jsonpickle but getting the following

type evolution with jsonpickle (python)

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问题 Is there any support of this in jsonpickle? E.g. I store and object, them modify its schema, then try to load it back. The following change, for instance, (attribute addition) import jsonpickle class Stam(object): def __init__(self, a): self.a = a def __str__(self): return '%s with a=%s' % (self.__class__.__name__, str(self.a)) js = jsonpickle.encode(Stam(123)) print 'encoded:', js class Stam(object): def __init__(self, a, b): self.a = a self.b = b def __str__(self): return '%s with a=%s, b=

How to exclude specific fields on serialization with jsonpickle?

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问题 I'm using SQLAlchemy extension with Flask. While serializing my models (which are also used for database operations) using jsonpickle, I want some specific attributes to be ignored. Is there a way that allows me to set those rules? SQLAlchemy adds an attribute named _sa_instance_state to the object. In a word, I do not want this field to be in the JSON output. 回答1: You cannot tell the default class pickler to ignore something, no. jsonpickle does support the pickle module __getstate__ and _

How to exclude specific fields on serialization with jsonpickle?

阅读更多关于 How to exclude specific fields on serialization with jsonpickle?

I'm using SQLAlchemy extension with Flask. While serializing my models (which are also used for database operations) using jsonpickle, I want some specific attributes to be ignored. Is there a way that allows me to set those rules? SQLAlchemy adds an attribute named _sa_instance_state to the object. In a word, I do not want this field to be in the JSON output. You cannot tell the default class pickler to ignore something, no. jsonpickle does support the pickle module __getstate__ and __setstate__ methods. If your classes implement those two methods, whatever is returned is then used by

Model persistence in Scikit-Learn?

阅读更多关于 Model persistence in Scikit-Learn?

I am trying to save and load scikit-learn model but facing issues when the save and load are happening on different python versions. Here what I have tried: Using pickle to save a model in python3 and deserialize in python2.This works for some of the models like LR,SVM but it fails for KNN. >>> pickle.load(open("inPy3.pkl", 'rb')) #KNN model ValueError: non-string names in Numpy dtype unpickling Also , I tried to serialize and deserialize in json using jsonpickle but getting the following error. data = jsonpickle.encode(lr) #lr = logisticRegression Model jsonpickle.decode(data) AttributeError: