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
Is The App/Ui/Backend Customizable? Any Tutorials For That?


CleanWhale17 per your request :)

An automated ML Pipeline πŸ‘ Automated Data Source Integration πŸ‘ Data Pooling and Web Interface for Manual Annotation of Images(Seg. / Classif) [Allegro Enterprise] or users integrate with open-source Storage of Annotation output files(versioned JSON) πŸ‘ Online-Training Β Support(for Dataset Shifts) [Not Sure what you mean] Data Pre-processessing (filter/augment) [Allegro Enterprise] or users integrate with open-source Data-set visualization(stats of Dataset) [Allegro Enterprise] or users integrate with open-source Experiment Management(which is why I liked TRAINS), πŸ‘ Jupyter Integration(for Test Management) πŸ‘ Training Progress Visualization(TensorBoard like) πŸ‘ Inferencing and Visualization of Results πŸ‘ Reproducibility of Training Results πŸ‘

  
  
Posted 4 years ago
141 Views
0 Answers
4 years ago
one year ago