It's for addition filtering only right? My use case is to prevent user accidentally querying the entire database.

I want to achieve something similar we would do in SQL

select * from user_query limit 100;

as I have wandb docker set up on the same VM for teting

and request use the .netrc auth to overwrite

thus seeing that user:local-xxxxx

It seems that I do receive the bearer token

really appreciate the help along the way... I have taken way too many of your time

Hi, just wanted to check in

.netrc <- seems wandb use this

testing

Thanks Martin

I am abusing the "hyperparameters" to have a "summary" dictionary to store my key metrics, due to the nicer behaviour of diff-ing across experiments.

😂

haha

🙂 Nice debugging experience

so... the VM IP is there

currently I do it in a hacky way. I call trains.backend_api Session, and check if 'demoapp' in web server URL.

thanks!

that can't be done easily, I have no control for that

AgitatedDove14 Git is fine, I just create a local repository for this. The code is two line
from trains import Task
task = Task.init(project_name="my project", task_name="my task3")

Great discussion, I agree with you both. For me, we are not using clearml-data, so I am a bit curious how does a "published experiment" locked everything (including input? I assume someone can still just go inside the S3 bucket and delete the file without Clearml noticing).

From my experience, absolute reproducibility is code + data + parameter + execution sequence. For example, random seed or some parallelism can cause different result and could be tricky to deal with sometimes. We did bu...

SuccessfulKoala55 Where can I find related documentation? I am not aware that I can configure this, I would like to create user myself.

oh, this is a bit different from my expectation. I thought I can use artifact for dataset or model version control.

seems not all settings are stored? for example if I add a custom column in hyperparameters and do a refresh

hmmmm, maybe I missed some UI Element, I can't locate any ID

but somewhere along the way, the request actually remove the header

Sorry, let me get back to you tomorrow. Maybe I did something wrong now the entire UI crash

AgitatedDove14
The core of Kedro is pipeline (multi-nodes), where you can stitch different pipeline together. For the data part, they use something called DataCatalog, which is a YAML file defined how your file is going to be saved/loaded, and where is the file. Kedro also resolve the DAGs of your pipeline, so you actually don't define what's the order of execution (it's defined by the input/output dependencies). The default is a sequentialRunner, optionally, you can use ParallelRunner where...

for workaround, I write a function to recursive cast my config dictionary into string if needed.

Thank you!