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
Answered
There Doesn'T Seem To Be Any Setup Required To Use Clearml In Colab In The Examples. But, What If The Google Account For My Colab Is Not The Same Google Account As I Use For Clearml? Still Work?

There doesn't seem to be any setup required to use clearml in colab in the examples. But, what if the Google account for my colab is not the same Google account as I use for ClearML? Still work?

  
  
Posted 3 years ago
Votes Newest

Answers 7


Thanks. Neat trick. I wonder what Google thinks of it?

  
  
Posted 3 years ago

Yeah the file system on those VMs is really slow

  
  
Posted 3 years ago

Shameless plug here ; https://clear.ml/blog/jupyter-notebooks-used-as-clearml-workers/

this whole area is a WIP of course, but I am trying to capture some of the really interesting Q and A from here so that they don't jst disappear into the void 🙂

  
  
Posted 3 years ago

you're not going to get the same performance as you would from your own dual xeon with 128gb of ram etc 🙂

  
  
Posted 3 years ago

obviously 🙂

  
  
Posted 3 years ago

Sure thing. All you need is the credentials. Did you see my extreme example here? https://youtu.be/qz9x7fTQZZ8

  
  
Posted 3 years ago

honestly.. I think google are "fine" with it.. there are plenty of other (more egregious) abuses of their colab and they haven't screamed yet.

  
  
Posted 3 years ago
993 Views
7 Answers
3 years ago
one year ago
Tags