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## Summary
I have been looking into possible approaches to have a Prediction Interval for a LIghtGBM model. This model is already trained, and it is not a quantile regressor - since its purpose is …
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Hi!
I have adjusted an unsupervised IOHMM with 3 states and an emission covariate (see code below).
`SHMM = UnSupervisedIOHMM(num_states=3, max_EM_iter=200, EM_tol=1e-4)`
`SHMM.set_models(mod…
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From "An Architecture for Parallel Topic Models" by A. Smola and S. Narayanamurthy
> To store the n(t,w) we use the same memory layout as Mallet. That is, we maintain a list of (topic, count) pairs …
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This will enable age- or size-structured models, like IPMs.
This requires:
- clean, unambiguous transition formula syntax
- a trait transition function (based around a probability density function)
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`(football-env) C:\dev\football>python -m gfootball.examples.run_ppo2 --level=academy_empty_goal_close
2022-07-18 15:10:02.220384: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Coul…
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### Your current environment
The output of `python collect_env.py`
```text
root@vllm-cpu:/workspace# python3 collect_env.py
Collecting environment information...
INFO 08-20 07:37:37 importin…
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What would be the best/least-disruptive way to enable a `sample'` function that can sample from a distribution and additionally return the probability of the sample it returns from the distribution?
I…
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Hi, could I ask a simple question about the classifier-free guidance on class-conditioned models?
According to the original paper, we need to jointly train the conditioned and unconditioned models wi…
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Hello, and thank you for the great work on this package. I would like to perform covariate balancing from inverse probability weights constructed with the `ipw` package to perform a marginal structura…
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In [EPro-PnP-Det_v2](https://github.com/tjiiv-cprg/EPro-PnP-v2/tree/main/EPro-PnP-Det_v2) if we want to improve the classification performance, could theoretically a new type of loss be introduced wit…