mlflow / mlflow/mlflow-example

Error in wait_for(function() mlflow_rest("experiments", "list", client = client), : Operation failed after waiting for 10 seconds

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Description

Hi there,

I experienced the error "Error in wait_for(function() mlflow_rest("experiments", "list", client = client), : Operation failed after waiting for 10 seconds" on running mlflow_set_experiment("Test"). What happened?

my R session info is as the following:
R version 4.0.2 (2020-06-22)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19042)

Matrix products: default

locale:
[1] LC_COLLATE=Chinese (Traditional)_Taiwan.950 LC_CTYPE=Chinese (Traditional)_Taiwan.950
[3] LC_MONETARY=Chinese (Traditional)_Taiwan.950 LC_NUMERIC=C
[5] LC_TIME=Chinese (Traditional)_Taiwan.950

attached base packages:
[1] stats graphics grDevices utils datasets methods base

other attached packages:
[1] mlflow_1.10.0

loaded via a namespace (and not attached):
[1] rstan_2.21.1 reticulate_1.16 tidyselect_1.1.0 xfun_0.15 forge_0.2.0
[6] purrr_0.3.4 lattice_0.20-41 swagger_3.9.2 generics_0.0.2 vctrs_0.3.2
[11] V8_3.2.0 colorspace_1.4-1 stats4_4.0.2 loo_2.3.1 yaml_2.2.1
[16] base64enc_0.1-3 rlang_0.4.7 pkgbuild_1.1.0 later_1.1.0.1 pillar_1.4.6
[21] glue_1.4.1 withr_2.2.0 matrixStats_0.56.0 ini_0.3.1 lifecycle_0.2.0
[26] munsell_0.5.0 gtable_0.3.0 codetools_0.2-16 inline_0.3.15 knitr_1.29
[31] callr_3.4.3 httpuv_1.5.4 ps_1.3.3 parallel_4.0.2 curl_4.3
[36] fansi_0.4.1 Rcpp_1.0.5 openssl_1.4.2 promises_1.1.1 scales_1.1.1
[41] RcppParallel_5.0.2 StanHeaders_2.21.0-5 jsonlite_1.7.0 fs_1.4.2 gridExtra_2.3
[46] ggplot2_3.3.2 askpass_1.1 dplyr_1.0.0 processx_3.4.3 grid_4.0.2
[51] cli_2.0.2 tools_4.0.2 magrittr_1.5 tibble_3.0.3 pkgconfig_2.0.3
[56] crayon_1.3.4 zeallot_0.1.0 ellipsis_0.3.1 Matrix_1.2-18 prettyunits_1.1.1
[61] assertthat_0.2.1 httr_1.4.1 rstudioapi_0.11 R6_2.4.1 compiler_4.0.2

Contributor guide

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reproducing mlflow_set_experiment("Test") with mlflow 1.10.0 on R 4.0.2 and Windows 10, then inspect the mlflow_rest("experiments", "list") call and its wait_for timeout. Done means identifying the cause of the failed request and documenting or validating a concrete fix.

Written by the indexing model from the issue text.

Assessment

Tech stack
r
Domain
machine-learning
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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