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|
module OpenTox
module Model
class Lazar
include Owl
# Create a new prediction model from a dataset
def initialize
super
end
def read_yaml(id,yaml)
@lazar = YAML.load yaml
self.identifier = File.join(@@config[:services]["opentox-model"],'lazar',id)
self.title = "lazar model for #{@lazar[:endpoint]}"
self.source = "http://github.com/helma/opentox-model"
self.parameters = {
"Dataset URI" => { :scope => "mandatory", :value => "dataset_uri=#{@lazar[:activity_dataset]}" },
"Feature URI for dependent variable" => { :scope => "mandatory", :value => "feature_uri=#{@lazar[:endpoint]}" },
"Feature generation URI" => { :scope => "mandatory", :value => "feature_generation_uri=" } #TODO write to yaml
}
self.algorithm = File.join(@@config[:services]["opentox-model"],"lazar")
self.trainingDataset = @lazar[:activity_dataset]
self.dependentVariables = @lazar[:endpoint]
self.predictedVariables = @lazar[:endpoint] + " lazar prediction"
end
def self.find(uri)
begin
YAML.load(RestClient.get uri)
Lazar.new uri
rescue
halt 404, "Model #{uri} not found."
end
end
def self.find_all
RestClient.get(@@config[:services]["opentox-model"]).split("\n")
end
# Predict a compound
def predict(compound)
RestClient.post(@uri, :compound_uri => compound.uri)
end
def self.base_uri
@@config[:services]["opentox-model"]
end
def self.create(data)
RestClient.post(@@config[:services]["opentox-model"], data, :content_type => "application/x-yaml").to_s
end
def endpoint
YAML.load(RestClient.get uri)[:endpoint]
end
end
end
=begin
module Model
class LazarClassification < OpenTox
end
end
module Prediction
module Classification
class Lazar < OpenTox
def initialize(params)
super(params[:uri])
end
def classification
YAML.load(RestClient.get(@uri))[:classification]
end
def confidence
YAML.load(RestClient.get(@uri))[:confidence]
end
def neighbors
RestClient.get @uri + '/neighbors'
end
def features
RestClient.get @uri + '/features'
end
end
end
end
=end
end
|
