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module OpenTox
# Basic feature class
class Feature
end
# Original ID (e.g. from CSV input)
class OriginalId < Feature
field :dataset_id, type: BSON::ObjectId
end
# Feature for categorical variables
class NominalFeature < Feature
field :accept_values, type: Array
end
# Feature for quantitative variables
class NumericFeature < Feature
field :unit, type: String
end
# Nominal biological activity
class NominalBioActivity < NominalFeature
field :original_feature_id, type: BSON::ObjectId
field :transformation, type: Hash
end
# Numeric biological activity
class NumericBioActivity < NumericFeature
field :original_feature_id, type: BSON::ObjectId
field :transformation, type: String
end
# Nominal lazar prediction
class NominalLazarPrediction < NominalFeature
field :model_id, type: BSON::ObjectId
field :training_feature_id, type: BSON::ObjectId
end
class LazarPredictionProbability < NominalLazarPrediction
field :value, type: Float
end
# Numeric lazar prediction
class NumericLazarPrediction < NumericFeature
field :model_id, type: BSON::ObjectId
field :training_feature_id, type: BSON::ObjectId
end
class NominalSubstanceProperty < NominalFeature
end
class NumericSubstanceProperty < NumericFeature
end
class NanoParticleProperty < NumericSubstanceProperty
field :category, type: String
field :conditions, type: Hash
end
# Feature for SMARTS fragments
class Smarts < Feature
field :smarts, type: String
index "smarts" => 1
# Create feature from SMARTS string
# @param [String]
# @return [OpenTox::Feature]
def self.from_smarts smarts
self.find_or_create_by :smarts => smarts
end
end
end
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