EasyTemporalPointProcess

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Configuration for 'eval' and 'gen', Sampling in Intensity-Free Models, and compacted event times in Multi-Step Inference

7

Hello. Thank you for your efforts in TPP benchmarking. I have a few questions. Some models have both train, eval, and gen in examples/configs/experiment_config.yaml, but for models that don't have...

junwoopark92

Calculation of NHP's log-likelihood

3

Hi. I have doubts on how the code calculates NHP's log-likelihood, which is specified by equation (8) in the NHP paper:  The former part...

HaochenWang1243

Beginning-Of-Stream (BOS) symbol of NHP?

2

Hi. Is the BOS symbol mechanism of NHP implemented? By reading the documentation of EasyTPP, I feel that the first event in each sequence in a processed dataset must have...

HaochenWang1243

[Question] How to sample an event time delta range within [0, 10,000]

6

In your example data, `time_since_last_event` is always within the range [0, 10]. If my sampled `time_since_last_event` can range from [0, 10,000], can you guide me on how to sample it?

SiriusHou

[Question] NHP predicted rmse is instable on taxi data.

1

When training the NHP model with the default taxi data and configuration, I observed that while log-likelihood improves over epochs, the time root-mean-square error (RMSE) does not converge, as shown...

SiriusHou

reproducing retweet results

5

Hi, we have been trying to reproduce the paper's result on THP and NHP models. The predictions we get are quite far from the ground truth labels, specifically for the...

kimzemian

No acc and rmse for IntensityFree

2

Hi, Thank you for the amazing work! When I run `python train_nhp.py --experiment_id IntensityFree_train`, I found it only printed out loglike and num_events, like this: INFO: [ Epoch 450 (train)...

yuzhenmao