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 Run The Trains Server In An Docker Container And Started Making Use Of Tasks ... My Tests Are Showed On The Projects Dashboard Which Is Realy Cool. What I Haven'T Found So Far Is A Way To Clean Up The System From The Tests I Did. I'M Able To Archive


after adding the
import fastparquet
statement to the code, the reconstruction of an clone is working
` Summary - installed python packages:
...

  • fastparquet==0.4.1
    ...
    Environment setup completed successfully
    Starting Task Execution:
    ...
    modeller.py: error: the following arguments are required: --algorithm `unfortunately it raises the next issue.
    If the script been used expects to get parameters via command line (which in Trains experiments are identified and stored as parameter when using argparse) it fails to start 😞
    I'm sure you have a solution for this.
    I could add an option enabling Trains to provide the parameters after command line parsing, but how are the parameters fit to the script?
  
  
Posted 3 years ago
93 Views
0 Answers
3 years ago
one year ago