Zeitpunkt Nutzer Delta Tröts TNR Titel Version maxTL Do 18.07.2024 09:30:49 183.089 -2 5.949.653 32,5 Mastodon 4.2.10 500 Mi 17.07.2024 22:03:54 183.091 +9 5.947.782 32,5 Mastodon 4.2.10 500 Di 16.07.2024 22:03:46 183.082 +3 5.942.101 32,5 Mastodon 4.2.10 500 Mo 15.07.2024 22:03:20 183.079 +6 5.935.902 32,4 Mastodon 4.2.10 500 So 14.07.2024 22:00:40 183.073 +2 5.938.181 32,4 Mastodon 4.2.10 500 Sa 13.07.2024 22:02:29 183.071 +1 5.931.586 32,4 Mastodon 4.2.10 500 Fr 12.07.2024 22:01:20 183.070 +6 5.926.345 32,4 Mastodon 4.2.10 500 Do 11.07.2024 23:46:42 183.064 -1 5.921.459 32,3 Mastodon 4.2.10 500 Mi 10.07.2024 22:00:57 183.065 +7 5.914.473 32,3 Mastodon 4.2.10 500 Di 09.07.2024 22:00:32 183.058 0 5.907.847 32,3 Mastodon 4.2.10 500
Andrew Dessler (@andrewdessler) · 11/2022 · Tröts: 912 · Folger: 2.612
Do 18.07.2024 17:44
I know LLMs hallucinate, but this is one of the worst I've seen. chatGPT invented an entire python package, which does not actually exist.
Yes, in Python, you can use the pydlnm package to work with Distributed Lag Non-linear Models (DLNMs). This package is specifically designed to handle the creation of cross-basis functions and to facilitate the modeling of non-linear and lagged relationships between variables. This package does not exist: Here’s a step-by-step guide on how to use pydlnm for creating and using cross-basis functions: Step 1: Install pydlnm First, you need to install the pydlnm package. You can do this using pip:
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