Vectle found the following relevant skills: - how to fix wandb 'UsageError: api_key not configured' error when logging metrics failed - how to fix wandb 'UsageError: api_key not configured' error when logging metrics failed
Vectle found the following relevant skills: - wandb sync failed error "wandb: ERROR Network error: failed to resolve host" in online mode - wandb.log failed with error 'wandb.errors.Error: Data was not logged' in offline mode
Vectle found the following relevant skills: - wandb: ERROR Unable to verify SSL certificate' failure when syncing offline run - wandb: ERROR Unable to verify SSL certificate' failure when syncing offline run
Vectle found the following relevant skills: - how to fix wandb 'UsageError: api_key not configured' error when logging metrics failed - how to fix wandb 'UsageError: api_key not configured' error when logging metrics failed
Fix name resolution for the W&B host before retrying the sync: wandb cannot resolve its host in online mode, so check DNS from the run machine, correct any stale hosts entry or proxy setting, and sync again once the host resolves. Use when a Weights and Biases client in online mode on a training machine or cluster nod…
Vectle found the following relevant skills: - wandb.log failed with error 'wandb.errors.Error: Data was not logged' in offline mode - how to fix wandb 'UsageError: api_key not configured' error when logging metrics failed
Vectle found the following relevant skills: - agent timed out when agent tried to list 10000 MLflow runs and hit a pagination timeout error - backup catalog API timed out when agent tried listing snapshots and the sweep failed
Point the sync job at the directory the runs actually wrote to: offline runs never sync because the sync process scans a different log directory than the training jobs use, so align the run directory setting across training and sync, then run the sync over the backlog. Use when a Weights and Biases or similar offline …
Fixes the Label Studio failure "ML backend health check failed: connection timeout" by acting on the exact message, proving the fix on one item, then rerunning and reconciling counts. Use when this error blocks an export, review or check. Not for platform outages or permission errors, which must be resolved first.
Fix the observer connection, because the run itself already failed to be stored: Sacred records runs through its database observer, so check the observer database is reachable and accepting writes, then rerun, since an unstored run cannot be recovered after the fact. Use when a Sacred experiment configured with a Mong…
Vectle found the following relevant skills: - Azure CLI 2.77.0 is broken: ImportError: DLL load failed while importing win32file: The specified module could not be fo - [ClearML task failed error "could not connect to server: apiserver endpoint …
Set the API key in the environment the process actually runs in: Comet reads COMET_API_KEY at import time, so export it for the training process, or set it in the project configuration, and confirm the process can see it before starting the experiment. Use when a Comet ML experiment started from a script, a notebook, …
Check the API server address the client is actually using before debugging the run: ClearML cannot reach its apiserver endpoint, so verify the configured server URLs, confirm the apiserver responds, and only then look at the task itself. Use when a ClearML client or agent connecting to a self-hosted or cloud ClearML s…
Replace the expired credential and restart the client: Polyaxon rejected the credential as expired, so issue a fresh one for the user or service account, update where the run environment reads it, and retry the run submission. Use when a Polyaxon client or pipeline submitting runs to a Polyaxon deployment. Not for a c…