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
RoundElephant20
Moderator
0 Questions, 11 Answers
  Active since 12 September 2024
  Last activity 2 months ago

Reputation

0
0 Hello, Is It Possible To Upload Artifacts Using The Rest Api? It Seems Like

Hi @<1747066118549278720:profile|WhoppingToad71> , can you share the use case? You want to upload the file to some storage? Or upload to a task?

2 months ago
0 Hello, Is It Possible To Upload Artifacts Using The Rest Api? It Seems Like

With the API you can register an artifact to a task, but the upload will be done separately with the ClearML sdk (the sdk wrap the registration and upload, with some other things inside the upload_artifact function).

2 months ago
0 Hello, Is It Possible To Upload Artifacts Using The Rest Api? It Seems Like

Can I suggest using the sdk? It will do both, log it to the task and will upload it to any storage wanted, like in this example

2 months ago
0 Hello, I Am Using The Clearml Integration With Ultralytics. I Have Very Simple Code

Hi @<1644147961996775424:profile|HurtStarfish47> ,

ClearML will automatically upload you model with the original name and data, if not mistaken, best.pt is given by default from the train function.

You can rename it after the training and upload it, something like:

import shutil

# Rename best model checkpoint after training
shutil.move("runs/train/my_model/weights/best.pt", "my_model.pt")

# upload with the StorageManager
model_path = "my_model.pt"
# Define your...
16 days ago
0 Hello, I Am Using The Clearml Integration With Ultralytics. I Have Very Simple Code

The auto magical will register the original model as an artifact, so the model that will be register it the original one, you can upload the model to your task as a model (so it will get a model id, like in this example ) or as a regular artifact (like in this example ).

16 days ago
0 My Current Training Setup Is A Hyperparameter Optimization Using The Tpesampler From Optuna. For Configuration We Use Hydra. There Is A Very Nice Plugin That Let'S You Define The Hyperparameters In The Config Files Using The

Hi @<1577468611524562944:profile|MagnificentBear85>

Thank you for bringing this up! We’re always excited to see contributions from the community, especially around areas like hyperparameter configuration. We’d be happy to consider a PR if you’re open to working on it! Our team encourages contributions 🙂

Did you check the relevant examples from our docs?
None
[None](https://c...

20 days ago
0 Hi, I Have A Question About The Model Registry. Here'S My Situation: I'M Using K8S_Example And Struggling With Uploading A Model. Should Models Be Uploaded To The Fileserver, Or Should I Create Another S3 Bucket As Mentioned In The Documentation?

Hi @<1742355077231808512:profile|DisturbedLizard6> , not sure I get that, did you use torch.save (like in here ) or some other command to save the models? When running with the clearml-agent. you have a print of all the configurations at the beginning of the log, can you verify your values are as you configure it?

Additionally, which version of clearml , clearml-agent and `...

2 months ago
0 Hi, I'M Working On Our Ml Project Using Clearml For Pipeline Management. I Have A Separate Function For Data Preparation That I'D Like To Use In The Clearml Pipeline. To Keep The Pipeline Script Clean, I Prefer Not To Define This Function Directly Within

Hi @<1669152726245707776:profile|ManiacalParrot65> ,

Yes, you can wrap the separate function with a decorator so the function will run as a separate step in the pipeline, and even can cache the step for multi runs.

You can also add the function without a decorator, as a step to the pipeline with PipelineController.add_function_step() .

You can read about it [here](https://clear.ml/docs/latest/docs/pip...

2 months ago
0 Do You Know How To Pass Args To Python Script Through Clearml-Task Without --Args? Because I Am Using "Click" Library For Parsing Args And When I Write Clearml-Task --Script Main.Py --Args "Input_Path=/Home" I See That Clearml Launches That As "Running Ta

Hi @<1742355077231808512:profile|DisturbedLizard6> ,

Currently, only argparse arguments are supported for clearml-task , click is also support, but for now, with the python sdk.

2 months ago
0 I'M Setting

Hi @<1613344994104446976:profile|FancyOtter74> , I’m getting the same, will keep you posted once a fixed version is out

15 hours ago