1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
|
#[ 'rubygems', 'datamapper' ].each do |lib|
# require lib
#end
require "lib/merge.rb"
module Lib
VAL_PROPS_GENERAL = [ :validation_uri, :validation_type, :model_uri, :algorithm_uri, :training_dataset_uri, :prediction_feature,
:test_dataset_uri, :test_target_dataset_uri, :prediction_dataset_uri, :date ]
VAL_PROPS_SUM = [ :num_instances, :num_without_class, :num_unpredicted ]
VAL_PROPS_AVG = [:real_runtime, :percent_without_class, :percent_unpredicted ]
VAL_PROPS = VAL_PROPS_GENERAL + VAL_PROPS_SUM + VAL_PROPS_AVG
# :crossvalidation_info
VAL_CV_PROPS = [ :crossvalidation_id, :crossvalidation_uri, :crossvalidation_fold ]
# :classification_statistics
VAL_CLASS_PROPS_SINGLE_SUM = [ :num_correct, :num_incorrect, :confusion_matrix ]
VAL_CLASS_PROPS_SINGLE_AVG = [ :percent_correct, :percent_incorrect,
:weighted_area_under_roc, :accuracy, :weighted_accuracy ]
VAL_CLASS_PROPS_SINGLE = VAL_CLASS_PROPS_SINGLE_SUM + VAL_CLASS_PROPS_SINGLE_AVG
# :class_value_statistics
VAL_CLASS_PROPS_PER_CLASS_SUM = [ :num_false_positives, :num_false_negatives,
:num_true_positives, :num_true_negatives ]
VAL_CLASS_PROPS_PER_CLASS_AVG = [ :area_under_roc, :false_negative_rate, :false_positive_rate,
:f_measure, :precision,
:true_negative_rate, :true_positive_rate ] #:recall,
VAL_CLASS_PROPS_PER_CLASS = VAL_CLASS_PROPS_PER_CLASS_SUM + VAL_CLASS_PROPS_PER_CLASS_AVG
VAL_CLASS_PROPS_PER_CLASS_COMPLEMENT_EXISTS = [ :num_false_positives, :num_false_negatives,
:num_true_positives, :num_true_negatives, :false_negative_rate, :false_positive_rate,
:true_negative_rate, :true_positive_rate ] #:precision, :recall,
VAL_CLASS_PROPS = VAL_CLASS_PROPS_SINGLE + VAL_CLASS_PROPS_PER_CLASS
# :regression_statistics
VAL_REGR_PROPS = [ :root_mean_squared_error, :mean_absolute_error, :r_square,
:target_variance_actual, :target_variance_predicted, :sum_squared_error, :sample_correlation_coefficient ]
CROSS_VAL_PROPS = [:dataset_uri, :num_folds, :stratified, :random_seed]
CROSS_VAL_PROPS_REDUNDANT = [:crossvalidation_uri, :algorithm_uri, :date] + CROSS_VAL_PROPS
ALL_PROPS = VAL_PROPS + VAL_CV_PROPS + VAL_CLASS_PROPS + VAL_REGR_PROPS + CROSS_VAL_PROPS
VAL_MERGE_GENERAL = VAL_PROPS_GENERAL + VAL_CV_PROPS + [:classification_statistics, :regression_statistics] + CROSS_VAL_PROPS
VAL_MERGE_SUM = VAL_PROPS_SUM + VAL_CLASS_PROPS_SINGLE_SUM + VAL_CLASS_PROPS_PER_CLASS_SUM
VAL_MERGE_AVG = VAL_PROPS_AVG + VAL_CLASS_PROPS_SINGLE_AVG + VAL_CLASS_PROPS_PER_CLASS_AVG + VAL_REGR_PROPS
# class Validation < ActiveRecord::Base
# serialize :classification_statistics
# serialize :regression_statistics
#
# alias_attribute :date, :created_at
class Validation
include DataMapper::Resource
property :id, Serial
property :validation_type, String, :length => 512
property :model_uri, String, :length => 512
property :algorithm_uri, String, :length => 512
property :training_dataset_uri, String, :length => 512
property :test_target_dataset_uri, String, :length => 512
property :test_dataset_uri, String, :length => 512
property :prediction_dataset_uri, String, :length => 512
property :prediction_feature, String, :length => 512
property :created_at, DateTime
property :num_instances, Integer
property :num_without_class, Integer
property :num_unpredicted, Integer
property :crossvalidation_id, Integer
property :crossvalidation_fold, Integer
property :real_runtime, Float
property :percent_without_class, Float
property :percent_unpredicted, Float
property :classification_statistics, Object
property :regression_statistics, Object
property :finished, Boolean, :default => false
attr_accessor :subjectid
after :save, :check_policy
private
def check_policy
OpenTox::Authorization.check_policy(validation_uri, subjectid)
end
public
def date
created_at
end
def validation_uri
raise "no id" if self.id==nil
$url_provider.url_for("/"+self.id.to_s, :full)
end
def crossvalidation_uri
$url_provider.url_for("/crossvalidation/"+self.crossvalidation_id.to_s, :full) if self.crossvalidation_id
end
def self.classification_property?( property )
VAL_CLASS_PROPS.include?( property )
end
def self.depends_on_class_value?( property )
VAL_CLASS_PROPS_PER_CLASS.include?( property )
end
def self.complement_exists?( property )
VAL_CLASS_PROPS_PER_CLASS_COMPLEMENT_EXISTS.include?( property )
end
end
# class Crossvalidation < ActiveRecord::Base
# alias_attribute :date, :created_at
class Crossvalidation
include DataMapper::Resource
property :id, Serial
property :algorithm_uri, String, :length => 512
property :dataset_uri, String, :length => 512
property :created_at, DateTime
property :num_folds, Integer, :default => 10
property :random_seed, Integer, :default => 1
property :finished, Boolean, :default => false
property :stratified, Boolean, :default => false
attr_accessor :subjectid
after :save, :check_policy
private
def check_policy
OpenTox::Authorization.check_policy(crossvalidation_uri, subjectid)
end
public
def date
created_at
end
def crossvalidation_uri
raise "no id" if self.id==nil
$url_provider.url_for("/crossvalidation/"+self.id.to_s, :full) if self.id
end
# convenience method to list all crossvalidations that are unique
# in terms of dataset_uri,num_folds,stratified,random_seed
# further conditions can be specified in __conditions__
def self.find_all_uniq(conditions={}, subjectid=nil )
#cvs = Lib::Crossvalidation.find(:all, :conditions => conditions)
cvs = Lib::Crossvalidation.all(:conditions => conditions)
uniq = []
cvs.each do |cv|
next if AA_SERVER and !OpenTox::Authorization.authorized?(cv.crossvalidation_uri,"GET",subjectid)
match = false
uniq.each do |cv2|
if cv.dataset_uri == cv2.dataset_uri and cv.num_folds == cv2.num_folds and
cv.stratified == cv2.stratified and cv.random_seed == cv2.random_seed
match = true
break
end
end
uniq << cv unless match
end
uniq
end
end
end
Lib::Validation.auto_upgrade!
Lib::Validation.raise_on_save_failure = true
Lib::Crossvalidation.auto_upgrade!
Lib::Crossvalidation.raise_on_save_failure = true
|