Examples: query, "exact match", wildcard*, wild?ard, wild*rd
Fuzzy search: cake~ (finds cakes, bake)
Term boost: "red velvet"^4, chocolate^2
Field grouping: tags:(+work -"fun-stuff")
Escaping: Escape characters +-&|!(){}[]^"~*?:\ with \, e.g. \+
Range search: properties.timestamp:[1587729413488 TO *] (inclusive), properties.title:{A TO Z}(excluding A and Z)
Combinations: chocolate AND vanilla, chocolate OR vanilla, (chocolate OR vanilla) NOT "vanilla pudding"
Field search: properties.title:"The Title" AND text
Profile picture
StickyShrimp60
Moderator
5 Questions, 10 Answers
  Active since 10 January 2024
  Last activity 7 months ago

Reputation

0

Badges 1

10 × Eureka!
0 Votes
5 Answers
1K Views
0 Votes 5 Answers 1K Views
Hi all - I am new to ClearML and trying it out using the Free plan, and I am generally quite impressed with the amount of features available for free 💪 .. I...
one year ago
0 Votes
6 Answers
1K Views
0 Votes 6 Answers 1K Views
one year ago
0 Votes
3 Answers
623 Views
0 Votes 3 Answers 623 Views
7 months ago
0 Votes
4 Answers
1K Views
0 Votes 4 Answers 1K Views
one year ago
0 Votes
2 Answers
1K Views
0 Votes 2 Answers 1K Views
one year ago
0 Hi All - I Am Using The Experiment Tracker And I See That Scalars View Is Not Updated After Some Time? In The Console View I See That My Training Job Terminated At Step 708000, Having Logged Scalar Metrics Every 4 Steps, However In The Scalars Pane I See

I am logging directly via the Logger module using the report_scalar method, adding iterations parameter in every call. In my recent runs I am only logging every 30s and this does seem to remove the issue do not see the issue

one year ago
0 Hi All - I Am New To Clearml And Trying It Out Using The Free Plan, And I Am Generally Quite Impressed With The Amount Of Features Available For Free

Are there plans of implementing a simple feature to ignore outliers in scalar plots?

Here is a plot that is not readable because of outliers. I will usually just use log-scale on the y axis, and that works fine in most cases, but sometimes you do not want to mess with the scale and just automatically zoom in on the 'typical' range of the data.
image
![image](https...

one year ago
0 Hi All - I Am Expeiencing Some Weird Behavior Using Clearml Experiment Tracking With Hydra Configurations. My Hydra Omegaconf Configuration Object Is Not Always Being Picked Up, And I Am Unable To Consistently Reproduce It. Sometimes I Get The Omegaconf

@<1523701205467926528:profile|AgitatedDove14> I run the experiments manually for now. It does seem I found the cause of the behaviour, though: I am instantiating an object from my own "tracker" class in my main method that holds from the clearml Task object that actually does the logging. I am doing the instantiation from my configuration via hydra.utils.instantiate method. So that means import clearml was not executed before already in my main method annotated with hydra.main :

...

one year ago
0 Hi All - I Am Using The Experiment Tracker And I See That Scalars View Is Not Updated After Some Time? In The Console View I See That My Training Job Terminated At Step 708000, Having Logged Scalar Metrics Every 4 Steps, However In The Scalars Pane I See

Hi @<1523701070390366208:profile|CostlyOstrich36> - unfortunately not something that I can easily share I am afraid. I am using the hosted solution btw and I really believe I am just logging way too often, I think about once a second for some 12 hours..

one year ago
0 Hi All - I Am New To Clearml And Trying It Out Using The Free Plan, And I Am Generally Quite Impressed With The Amount Of Features Available For Free

FYI @<1523701070390366208:profile|CostlyOstrich36> after a quick search it seems there is already a request for this 🙂 None

one year ago
0 Hi All - I Recently Started Using Hydra For Managing My Configurations And After The Switch Away From Argparse I Am No Longer Getting Gpu Stats Monitored As Scalars. Not Sure If There Is Any Connection, But My Colleague That Still Uses Argparse Still Gets

@<1523701070390366208:profile|CostlyOstrich36> there was in fact a difference in versions, good suggestion. I was using clearml v1.14.4 and my colleague is on 1.14.1. Downgrading the package to 1.14.1 fixes this for me. Should I open an issue or is this somehow expected behaviour or an already known bug? (I was not able to find a related issues in github?)

one year ago
0 Hi All - I Am Planning To Migrate From A Clear-Ml Hosted Instance To A Self Hosted Server As My Usage Is Low And Infrequent, But Would Still Like To Persist The Experiments That I Have Already Logged. Does Anyone Have Experience With This, Have Written So

Hi @<1523701205467926528:profile|AgitatedDove14> - thanks a lot for the input, I will have a look at the API

btw: is self hosted server cheaper than the 15$ a month hosted service, or is it just a convenience

ClearML is quite cheap for sure, but our monthly runs to something like 200$ (we have 4 users and some 14GB of metrics store that we want to maintain). The main point for us is that we do not use ClearML on a daily basis. It is maybe 6 months since we last used it and we are p...

7 months ago