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 Team, Me Again! Im Curious If Someone Can Explain To Me Better How Task And Optimisers Integrate With Each Other. In The Example Hyperparameter Optimisation, There Is Both A Task Initialised With


The easiest would be as an artifact (I think).
Let's assume you put it into a csv file (with pandas or mnaually)
To upload (from the pipeline Task itself):
task.upload_artifacts(name='summary', artifact_object='~/my/summary.csv')Then if you want to grab it from anywhere else:
task = Task.get_task(task_id='HPO controller Task id here') my_csv = Task.artifacts['summary'].get_local_copy()
If you want to store as dict it might be even easier:
task.upload_artifacts(name='summary', artifact_object=a_dict_here)Then you can:
task = Task.get_task(task_id='HPO controller Task id here') my_dict = Task.artifacts['summary'].get()

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