ATM dataset testing

[kiahsa2002]

Hi,

I'm new to TPP.

I was trying to run your interactive ipython file with the ATM dataset as CSV file. I see all datasets you used are .npz. Do I have to preprocess ATM csv file to .npz? How you set the sequence length? Since the ATM dataset I have contains only 4 months of data.

I request you to clarify.

Regards, kiahsa

[shchur]

Hi, you can have a look at the way we store the data in npz files and convert your data accordingly. Here is a code snippet that allows you to do this:

import numpy as np

loader = dict(np.load('data/stack_overflow.npz', allow_pickle=True))
print(loader.keys())
print(loader['arrival_times'])
print(loader['marks'])

Both arrival_times and marks are lists of lists. If you save your data to an npz file using the same format (using the function np.savez), you should be able to load it with our function dpp.data.load_dataset.

[kiahsa2002]

Thank you for your response with details.

Regards, Kiahsa

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From: Oleksandr Shchur notifications@github.com Sent: Monday, June 8, 2020 2:10:19 PM To: shchur/ifl-tpp ifl-tpp@noreply.github.com Cc: kiahsa2002 kiahsa2002@outlook.com; Author author@noreply.github.com Subject: Re: [shchur/ifl-tpp] ATM dataset testing (#7)

Hi, you can have a look at the way we store the data in npz files and convert your data accordingly. Here is a code snippet that allows you to do this:

import numpy as np

loader = dict(np.load('data/stack_overflow.npz', allow_pickle=True)) print(loader.keys()) print(loader['arrival_times']) print(loader['marks'])

Both arrival_times and marks are lists of lists. If you save your data to an npz file using the same format (using the function np.savezhttps://numpy.org/doc/stable/reference/generated/numpy.savez.html), you should be able to load it with our function dpp.data.load_dataset.

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