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Fuzzy search: cake~ (finds cakes, bake)
Term boost: "red velvet"^4, chocolate^2
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For The Frameworks Which Are Supported In Built, Trains Stores The Trained Model As Output Model E.G. For Xgboost Here


PompousParrot44
you can always manually store/load models, example: https://github.com/allegroai/trains/blob/65a4aa7aa90fc867993cf0d5e36c214e6c044270/examples/reporting/model_config.py#L35 Sure, you can patch any frame work with something similar to what we do in xgboost, any such PR will be greatly appreciated! https://github.com/allegroai/trains/blob/master/trains/binding/frameworks/xgboost_bind.py

  
  
Posted 4 years ago
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4 years ago
one year ago