Class: XGBoost::Model

Inherits:
Object
  • Object
show all
Defined in:
lib/xgboost/model.rb

Direct Known Subclasses

Classifier, Ranker, Regressor

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(n_estimators: 100, importance_type: "gain", early_stopping_rounds: nil, **options) ⇒ Model

Returns a new instance of Model.



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# File 'lib/xgboost/model.rb', line 5

def initialize(n_estimators: 100, importance_type: "gain", early_stopping_rounds: nil, **options)
  @params = options
  @n_estimators = n_estimators
  @importance_type = importance_type
  @early_stopping_rounds = early_stopping_rounds
end

Instance Attribute Details

#booster ⇒ Object (readonly)

Returns the value of attribute booster.



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# File 'lib/xgboost/model.rb', line 3

def booster
  @booster
end

Instance Method Details

#feature_importances ⇒ Object 



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# File 'lib/xgboost/model.rb', line 25

def feature_importances
  score = @booster.score(importance_type: @importance_type)
  scores = @booster.feature_names.map { |k| score[k] || 0.0 }
  total = scores.sum.to_f
  scores.map { |s| s / total }
end

#load_model(fname) ⇒ Object 



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# File 'lib/xgboost/model.rb', line 21

def load_model(fname)
  @booster = Booster.new(params: @params, model_file: fname)
end

#predict(data) ⇒ Object 



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# File 'lib/xgboost/model.rb', line 12

def predict(data)
  dmat = DMatrix.new(data)
  @booster.predict(dmat)
end

#save_model(fname) ⇒ Object 



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# File 'lib/xgboost/model.rb', line 17

def save_model(fname)
  @booster.save_model(fname)
end