-
Dear xgboost developers, I am "testing the waters" to see if some of my research is interesting and potentially could be implemented in xgboost either now or in the future.
**TLDR:**
Approximate t…
-
**Is your feature request related to a problem? Please describe.**
Current implementation of energy-dependent smearing parametrization
https://github.com/eic/EICrecon/blob/8050426d3ec2c0ee94ad5f6070…
-
> Refer to roadmap [2023](https://github.com/StarRocks/starrocks/issues/16445) [2022](https://github.com/StarRocks/starrocks/issues/1244)
# Shared-data & StarOS
- Align with all functionalities…
-
Hi,
I set NCCL_ALGO=Tree and run the MNist example of horovod on 2 host machines, but it raises the error that no algorithm/protocol is available. I found the problem is related to the following co…
-
**What did you find confusing? Please describe.**
I'm using:
```
IDENTICAL_TUNER = PARENT_TUNER.identical_dataset_and_algorithm_tuner(
additional_parents = ADDITIONAL_PARENT_TUNING_JOB_NAM…
dz902 updated
4 years ago
-
Hi,
we developed and tested our algorithm OT-TRPO (published at the upcoming NeurIPS2022, you can find the preprint [here](https://arxiv.org/abs/2210.11137)) using stable baselines.
Is there an …
-
Hello,
For tuning with Bayesian (outside of Pycaret), i generally use the callback parameter which allows me to specify timebudget, specific early stopping but also you can pass a function in which…
-
Would you be interested to add support for https://johannesbuchner.github.io/UltraNest/ ?
The interface should be very similar to dynesty.
UltraNest is a very reliable tuning-parameter-free algorith…
-
Would you be interested to add support for https://johannesbuchner.github.io/UltraNest/ ?
The interface should be very similar to dynesty.
UltraNest is a very reliable tuning-parameter-free algorith…
-
# Effort Estimation
- DONE
- Included Finnish Dataset and ATLM . (https://github.com/dr-bigfatnoob/effort/issues/3)
- COGEE results are not all that great considering its large runtime
- COG…