Vitaliy Pozdnyakov
Vitaliy Pozdnyakov
Could you explain how to run multiple workers in a single machine for parallel evaluation? For example, I run a challenge on my local server in docker, then several participants...
PyTorch-Forecasting version: 0.8.5 The original DeepAR paper (https://arxiv.org/abs/1704.04110) proposes the following forecasting framework where `x` is known future covariates, `\hat z` is previous forecasted value. From my point of view,...
Hi, it will be great to add some examples or comments how to generate datasets, for example: To generate train set, run it (estimated time -- 100 mins) ``` git...
Here is my explanation of changes related to #4936. 1. Change names of functions `attribute_assortativity_coefficient` -> `discrete_assortativity_coefficient` and `numeric_assortativity_coefficient` -> `scalar_assortativity_coefficient` "Attribute" and "numeric" are unclear names since there are...
Hello there! I use `nbgrader` to run competitions at my university. Each student submit an .ipynb file and then the external system ([EvalAI](https://evalai.readthedocs.io/en/latest/)) starts evaluation via `nbgrader`. I don't need...
It will be great to add something as `get_stratpd` method that returns two np.arrays: pdpx, pdpy. I did it by myself just copying the first few lines from `plot_stratpd` method...
Hello! I'm trying to run script from README on Mac M1 and it shows an error: ``` File ~/.../TimeEval/timeeval/adapters/docker.py:357, in DockerAdapter.get_prepare_fn..prepare() 355 def prepare() -> None: 356 client = docker.from_env(timeout=Duration("5...