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
Unanswered
Hi I'M Using Clearml Datasets. How Do I Tell From The Clearml Ui Which Datasets Version Am I Using?


Sorry AgitatedDove14 i missed your reply. So this means that in the community version, when i have an experiment using clearml and it uses clearml datasets SDK, the dataset id that was used will not be reflected on the clearml experiment in any way, thus making it impossible to establish Data Lineage/Provenance. (E.g. Link data used to experiment). This feature is however available in the Enterprise Version as HyperDatasets. Am i correct?
Code example.
from clearml import Task, Logger task = Task.init(project_name='DETECTRON2',task_name='Default Model Architecture',task_type='training', output_uri=' ` ')
task.set_base_docker("quay.io/detectron2:v4 --env GIT_SSL_NO_VERIFY=true --env TRAINS_AGENT_GIT_USER=testuser --env TRAINS_AGENT_GIT_PASS=testuser" )
task.execute_remotely(queue_name="1xV100-4ram", exit_process=True)

dataset_id = "83cfb45cfcbb4a8293ed9f14a2c562c0"
from clearml import Dataset
dataset_path = Dataset.get(dataset_id=dataset_id).get_local_copy() `

  
  
Posted 3 years ago
164 Views
0 Answers
3 years ago
one year ago