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
Question About The Trains Agent And The Git Credentials When Setting A Trains Agent, It Is Possible To Configure Git Credentials For It And I'M Trying To Figure Out In Which Cases It Is Necessary. When Executing A Task Remotely (


Hi WackyRabbit7 ,
Regrading git credentials, see here in the trains.conf https://github.com/allegroai/trains-agent/blob/master/docs/trains.conf#L18

Trains assumes one of two (almost three) possible setups
Your code/script is in a git repository. Then when executing manually all the git references incl` uncommitted changes are stored. Then when executing with the trains-agent, it will clone the code based on these references apply the uncommitted changes and run your code. To do that the trains-agent needs your git credentials (which it will use to do the git pull with) A single stand alone python script. The Trains manual execution will put the entire script in the "uncommitted chanmges section". Then when executed with trains-agent, the agent will take the script from the uncommitted changes section and execute it. Jupyter Notebook. every time you store a snapshot, the jupyter notebook is converted into python script, and stored on the experiment in the uncommitted changes section. Then trains-agent, link in (2), will take the python script and execute it on the remote machine

  
  
Posted 4 years ago
161 Views
0 Answers
4 years ago
one year ago
Tags