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require "lib/validation_db.rb"
# = Reports::ValidationAccess
#
# service that connects (mainly) to the validation-service
#
class Reports::ValidationAccess
# initialize Reports::Validation object with data from Lib:Validation object
#
def init_validation(validation, uri)
raise "not implemented"
end
# sets cv-attributes in Reports::Validation object
#
def init_cv(validation)
raise "not implemented"
end
# yields predictions (Lib::OTPredictions) if available
#
def get_predictions(validation)
raise "not implemented"
end
# replaces crossvalidations uris with corresponding validation uris, in-/output: array
#
def resolve_cv_uris(validation_uris)
raise "not implemented"
end
# get domain/class values of prediction feature
#
def get_prediction_feature_values(validation)
raise "not implemented"
end
# is validation classification?
#
def classification?(validation)
raise "not implemented"
end
def predicted_variable(validation)
raise "not implemented"
end
end
class Reports::ValidationDB < Reports::ValidationAccess
def initialize
@model_store = {}
end
def resolve_cv_uris(validation_uris)
res = []
validation_uris.each do |u|
if u.to_s =~ /.*\/crossvalidation\/[0-9]+/
cv_id = u.split("/")[-1].to_i
res += Lib::Validation.find( :all, :conditions => { :crossvalidation_id => cv_id } ).collect{|v| v.validation_uri.to_s}
else
res += [u.to_s]
end
end
res
end
def init_validation(validation, uri)
raise Reports::BadRequest.new "not a validation uri: "+uri.to_s unless uri =~ /.*\/[0-9]+/
validation_id = uri.split("/")[-1]
raise Reports::BadRequest.new "invalid validation id "+validation_id.to_s unless validation_id!=nil and
(validation_id.to_i > 0 || validation_id.to_s=="0" )
v = nil
begin
v = Lib::Validation.find(validation_id)
rescue => ex
raise "could not access validation with id "+validation_id.to_s+", error-msg: "+ex.message
end
raise Reports::BadRequest.new "no validation found with id "+validation_id.to_s unless v #+" and uri "+uri.to_s unless v
(Lib::VAL_PROPS + Lib::VAL_CV_PROPS).each do |p|
validation.send("#{p.to_s}=".to_sym, v.send(p))
end
{:classification_statistics => Lib::VAL_CLASS_PROPS,
:regression_statistics => Lib::VAL_REGR_PROPS}.each do |subset_name,subset_props|
subset = v.send(subset_name)
subset_props.each{ |prop| validation.send("#{prop.to_s}=".to_sym, subset[prop]) } if subset
end
end
def init_cv(validation)
cv = Lib::Crossvalidation.find(validation.crossvalidation_id)
raise Reports::BadRequest.new "no crossvalidation found with id "+validation.crossvalidation_id.to_s unless cv
Lib::CROSS_VAL_PROPS.each do |p|
validation.send("#{p.to_s}=".to_sym, cv[p])
end
end
def get_predictions(validation)
Lib::OTPredictions.new( validation.classification?, validation.test_dataset_uri, validation.test_target_dataset_uri,
validation.prediction_feature, validation.prediction_dataset_uri, validation.predicted_variable)
end
def get_prediction_feature_values( validation )
OpenTox::Feature.domain( validation.prediction_feature )
end
def classification?( validation )
get_model(validation).classification?
end
def predicted_variable(validation)
get_model(validation).predictedVariables
end
private
def get_model(validation)
raise "cannot derive model depended props for merged validations" if Lib::MergeObjects.merged?(validation)
model = @model_store[validation.model_uri]
unless model
model = OpenTox::Model::PredictionModel.find(validation.model_uri)
raise "model not found '"+validation.model_uri+"'" unless validation.model_uri && model
@model_store[validation.model_uri] = model
end
return model
end
end
#
# OUTDATED, please update before use
#
class Reports::ValidationWebservice < Reports::ValidationAccess
def resolve_cv_uris(validation_uris)
res = []
validation_uris.each do |u|
if u.to_s =~ /.*\/crossvalidation\/.*/
uri = u.to_s+"/validations"
begin
vali_uri_list = RestClientWrapper.get uri
rescue => ex
raise Reports::BadRequest.new "cannot get validations for cv at '"+uri.to_s+"', error msg: "+ex.message
end
res += vali_uri_list.split("\n")
else
res += [u.to_s]
end
end
res
end
def init_validation(validation, uri)
begin
data = YAML.load(RestClient.get uri)
rescue => ex
raise Reports::BadRequest.new "cannot get validation at '"+uri.to_s+"', error msg: "+ex.message
end
Lib::VAL_PROPS.each do |p|
validation.send("#{p}=".to_sym, data[p])
end
#model = OpenTox::Model::LazarClassificationModel.new(v[:model_uri])
#raise "cannot access model '"+v[:model_uri].to_s+"'" unless model
#validation.prediction_feature = model.get_prediction_feature
{Lib::VAL_CV_PROP => Lib::VAL_CV_PROPS,
Lib::VAL_CLASS_PROP => Lib::VAL_CLASS_PROPS_EXTENDED}.each do |subset_name,subset_props|
subset = data[subset_name]
subset_props.each{ |prop| validation.send("#{prop}=".to_sym, subset[prop]) } if subset
end
end
def init_cv(validation)
raise "cv-uri not set" unless validation.crossvalidation_uri
begin
data = YAML.load(RestClient.get validation.crossvalidation_uri)
rescue => ex
raise Reports::BadRequest.new "cannot get crossvalidation at '"+validation.crossvalidation_uri.to_s+"', error msg: "+ex.message
end
Lib::CROSS_VAL_PROPS.each do |p|
validation.send("#{p.to_s}=".to_sym, data[p])
end
end
def get_predictions(validation)
Lib::Predictions.new( validation.prediction_feature, validation.test_dataset_uri, validation.prediction_dataset_uri)
end
end
# = Reports::OTMockLayer
#
# OUTDATED, please update before use
#
# does not connect to other services, provides randomly generated data
#
class Reports::ValidationMockLayer < Reports::ValidationAccess
NUM_DATASETS = 1
NUM_ALGS = 4
NUM_FOLDS = 5
NUM_PREDICTIONS = 30
ALGS = ["naive-bayes", "c4.5", "svm", "knn", "lazar", "id3"]
DATASETS = ["hamster", "mouse" , "rat", "dog", "cat", "horse", "bug", "ant", "butterfly", "rabbit", "donkey", "monkey", "dragonfly", "frog", "dragon", "dinosaur"]
FOLDS = [1,2,3,4,5,6,7,8,9,10]
def initialize
super
@algs = []
@datasets = []
@folds = []
sum = NUM_DATASETS*NUM_ALGS*NUM_FOLDS
(0..sum-1).each do |i|
@folds[i] = FOLDS[i%NUM_FOLDS]
@algs[i] = ALGS[(i/NUM_FOLDS)%NUM_ALGS]
@datasets[i] = DATASETS[((i/NUM_FOLDS)/NUM_ALGS)%NUM_DATASETS]
end
@count = 0
end
def resolve_cv_uris(validation_uris)
res = []
validation_uris.each do |u|
if u.to_s =~ /.*crossvalidation.*/
res += ["validation_x"]*NUM_FOLDS
else
res += [u.to_s]
end
end
res
end
def init_validation(validation, uri)
validation.model_uri = @algs[@count]
validation.test_dataset_uri = @datasets[@count]
validation.prediction_dataset_uri = "bla"
cv_id = @count/NUM_FOLDS
validation.crossvalidation_id = cv_id
validation.crossvalidation_fold = @folds[@count]
validation.auc = 0.5 + cv_id*0.02 + rand/3.0
validation.acc = 0.5 + cv_id*0.02 + rand/3.0
validation.tp = 1
validation.fp = 1
validation.tn = 1
validation.fn = 1
validation.algorithm_uri = @algs[@count]
validation.training_dataset_uri = @datasets[@count]
validation.test_dataset_uri = @datasets[@count]
validation.prediction_feature = "classification"
@count += 1
end
def init_cv(validation)
raise "cv-id not set" unless validation.crossvalidation_id
validation.num_folds = NUM_FOLDS
validation.algorithm_uri = @algs[validation.crossvalidation_id.to_i * NUM_FOLDS]
validation.dataset_uri = @datasets[validation.crossvalidation_id.to_i * NUM_FOLDS]
validation.stratified = true
validation.random_seed = 1
#validation.CV_dataset_name = @datasets[validation.crossvalidation_id.to_i * NUM_FOLDS]
end
def get_predictions(validation)
p = Array.new
c = Array.new
conf = Array.new
u = Array.new
(0..NUM_PREDICTIONS).each do |i|
p.push rand(2)
c.push rand(2)
conf.push rand
u.push("compound no"+(i+1).to_s)
end
Lib::MockPredictions.new( p, c, conf, u )
end
end
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