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Hello! I would like to use CPD detection from ruptures but I am having some problems with it. I obtain the following error:
MemoryError: Unable to allocate 633. GiB for an array with shape (84955862706,) and data type float64
My data looks like the image below and has the numpy array has the following shape
(412204,)
What is the algorithm doing such that it requires such amount of storage. I must be doing something wrong. Please help!
Here is my code
model = "rbf"
algo = rpt.Window(model=model).fit(sg2_subset.values)
result = algo.predict(pen=1000)
Thank you for your help!
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