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
Hello! I Have A Hard Time Connecting To Non-Aws S3 Bucket To Use It As A Storage To Clearml Dataset. Even Though I Add Access And Secret Key In ~/Clearml.Conf File, When I Trying To Create A New Clearml Dataset:

Hello! I have a hard time connecting to non-aws s3 bucket to use it as a storage to clearml Dataset. Even though I add access and secret key in ~/clearml.conf file, when i trying to create a new clearml dataset:

from clearml import Dataset
cdataset = Dataset.create(
description='Synthetic data for training',
output_uri = "s3://backet"
I get an error:

2023-04-07 16:38:34,629 - clearml.storage - ERROR - Failed uploading: Could not connect to the endpoint URL: "https://clearml-data-test.s3.ru-central1.amazonaws.com/.clearml.test"
I really can’t find out where this amazonaws.com/.clearml.test is coming from and how to set endpoint url of my non amazon aws s3 bucket, so it looks like


Can some please help me?

Posted 10 months ago
Votes Newest


Hi @<1555362936292118528:profile|AdventurousElephant3>

hard time connecting to non-aws s3 bucket

if this is a non-s3 the output_uri should look something like:
output_uri = " None :port/backet"
Then make sure you have the correct credentials in your clearml.conf:

Posted 10 months ago
1 Answer
10 months ago
10 months ago
Similar posts