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 There An Enterprise Version Of Trains? If Yes, What Are The Addition Features,


EnviousStarfish54 data versioning on the open source leverages the artifacts and storage and caching capabilities of Trains.
A simple workflow

  1. Upload data
    https://github.com/allegroai/events/blob/master/odsc20-east/generic/dataset_artifact.py
  2. Preprocessing data
    https://github.com/allegroai/events/blob/master/odsc20-east/generic/process_dataset.py
  3. Using data
    https://github.com/allegroai/events/blob/master/odsc20-east/scikit-learn/sklearn_jupyter.ipynb
  
  
Posted 4 years ago
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4 years ago
one year ago