cannot load pickle files for xgboost images of version > 1.2-2 in sagemaker – UnpicklingError
I can train a XGBoost model using Sagemaker images like so:
pickle
Saving an Object (Data persistence)
I’ve created an object like this:
How can I use pickle to save a dict (or any other Python object)?
I have looked through the information that the Python docs give, but I’m still a little confused. Could somebody post sample code that would write a new file then use pickle to dump a dictionary into it?
Python multiprocessing PicklingError: Can’t pickle
I am sorry that I can’t reproduce the error with a simpler example, and my code is too complicated to post. If I run the program in IPython shell instead of the regular Python, things work out well.
Can’t pickle when using multiprocessing Pool.map()
I’m trying to use multiprocessing‘s Pool.map() function to divide out work simultaneously. When I use the following code, it works fine:
Saving and loading multiple objects in pickle file?
I have a class that serves players in a game, creates them and other things.
Serializing class instance to JSON
I am trying to create a JSON string representation of a class instance and having difficulty. Let’s say the class is built like this:
Storing Python dictionaries
I’m used to bringing data in and out of Python using CSV files, but there are obvious challenges to this. Are there simple ways to store a dictionary (or sets of dictionaries) in a JSON or pickle file?
Is there an easy way to pickle a python function (or otherwise serialize its code)?
I’m trying to transfer a function across a network connection (using asyncore). Is there an easy way to serialize a python function (one that, in this case at least, will have no side effects) for transfer like this?
Multiprocessing: How to use Pool.map on a function defined in a class?
When I run something like: