added debug, fixed bugs in knowledge algorithm. was working fine with Exercise 50 and user 1817

This commit is contained in:
Thomas Hille
2017-02-16 11:40:11 +01:00
parent fcb82d29a1
commit 37774d8ed5

View File

@ -60,35 +60,44 @@ class ProxyExercise < ActiveRecord::Base
def score(user, ex)
points_ratio = ex.maximum_score(user) / ex.maximum_score.to_f
points_ratio_index = points_ratio.to_i
working_time_user = Time.parse(ex.average_working_time_for_only(user.id) || "00:00:00")
scoring_matrix = scoring_matrix
if points_ratio == 0.0
Rails.logger.debug("scoring user #{user.id} for exercise #{ex.id}: points_ratio=#{points_ratio} score: 0" )
return 0.0
end
points_ratio_index = ((scoring_matrix.size - 1) * points_ratio).to_i
working_time_user = Time.parse(ex.average_working_time_for_only(user.id) || "00:00:00").seconds_since_midnight
quantiles_working_time = ex.getQuantiles(scoring_matrix_quantiles)
quantile_index = quantile_time.size
quantile_index = quantiles_working_time.size
quantiles_working_time.each_with_index do |quantile_time, i|
if working_time_user <= quantile_time
quantile_index = i
break
end
end
Rails.logger.debug(
"scoring user #{user.id} exercise #{ex.id}: worktime #{working_time_user}, points: #{points_ratio}" \
"(index #{points_ratio_index}) quantiles #{quantiles_working_time} placed into quantile index #{quantile_index} " \
"score: #{scoring_matrix[points_ratio_index][quantile_index]}")
scoring_matrix[points_ratio_index][quantile_index]
end
def getRelativeKnowledgeLoss(user, execises)
# initialize knowledge for each tag with 0
topic_knowledge_loss_user = Tag.all.map{|t| [t, 0]}.to_h
topic_knowledge_max = Tag.all.map{|t| [t, 0]}.to_h
all_used_tags = execises.inject(Set.new){|tagset, ex| tagset.merge(ex.tags)}
topic_knowledge_loss_user = all_used_tags.map{|t| [t, 0]}.to_h
topic_knowledge_max = all_used_tags.map{|t| [t, 0]}.to_h
execises.each do |ex|
user_score_factor = score(user, ex)
ex.tags.each do |t|
tag_ratio = ex.exercise_tags.where(tag: t).factor / ex.exercise_tags.inject(0){|sum, et| sum += et.factor }
tag_ratio = ex.exercise_tags.where(tag: t).first.factor / ex.exercise_tags.inject(0){|sum, et| sum += et.factor }
topic_knowledge = ex.expected_difficulty * tag_ratio
topic_knowledge_loss_user[t] += (1 - user_score_factor) * topic_knowledge
topic_knowledge_max[t] += topic_knowledge
end
end
relative_loss = {}
topic_knowledge_max.keys.each do |t|
puts all_used_tags.size
all_used_tags.each do |t|
relative_loss[t] = topic_knowledge_loss_user[t] / topic_knowledge_max[t]
end
relative_loss