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
Hi Folks, Tldr: Dataset.Remove_Files() Is Very Slow. How Can I Speed It Up? I'M Working With A Large Raw Dataset That We Are Trying To Use A Small Subset Of. The Data Is Thousands Of Images And A Metadata Json File For Each Image. To Create This Subset

Hi Allen,
I've ran into this exact problem myself, and simply added a function to dataset.py in the clearml package ( clearml/datasets/dataset.py ) that takes a list of files instead of a single file.

It looks like this (I use clearml 1.13.1 ):

Posted 2 months ago
0 Answers
2 months ago
2 months ago