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“Pickling” is the process whereby a Python object hierarchy is converted into a byte stream, # and “unpickling” is the inverse operation, whereby a byte stream (from a binary file or bytes-like # ...
If you want to generate 100 mutated models by 1000 random walks using 5 threads, run the program as follows. python randomwalks.py -n 100 -r 1000 -t 5 This creates the mutated models in ...
Here, we present a novel Python-based toolbox called HDDM (hierarchical drift diffusion model), which allows fast and flexible estimation of the the drift-diffusion model and the related linear ...
A model of a software application in Python is developed and a class hierarchy is proposed that uses the property of multiple inheritance to transfer global model parameters within this hierarchy.
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