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cylab
java-wowa-training
Commits
8ccdcf6f
Commit
8ccdcf6f
authored
4 years ago
by
a.croix
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Solve Clean verify issues. Test erros because of refactoring
parent
bcd579fc
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1 merge request
!6
Refactoring
Pipeline
#3404
passed
4 years ago
Stage: leaks
Stage: test
Changes
2
Pipelines
1
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2 changed files
src/main/java/be/cylab/java/wowa/training/TrainerParameters.java
+1
-1
1 addition, 1 deletion
...n/java/be/cylab/java/wowa/training/TrainerParameters.java
src/test/java/be/cylab/java/wowa/training/TrainerTest.java
+6
-4
6 additions, 4 deletions
src/test/java/be/cylab/java/wowa/training/TrainerTest.java
with
7 additions
and
5 deletions
src/main/java/be/cylab/java/wowa/training/TrainerParameters.java
+
1
−
1
View file @
8ccdcf6f
...
...
@@ -143,7 +143,7 @@ public class TrainerParameters {
/**
* @return
*/
public
int
getCrossoverRate
()
{
public
final
int
getCrossoverRate
()
{
return
crossover_rate
;
}
...
...
This diff is collapsed.
Click to expand it.
src/test/java/be/cylab/java/wowa/training/TrainerTest.java
+
6
−
4
View file @
8ccdcf6f
...
...
@@ -14,7 +14,9 @@ class TrainerTest {
@BeforeEach
void
setUp
()
{
TrainerParameters
parameters
=
new
TrainerParameters
(
null
,
100
,
30
,
10
,
100
,
TrainerParameters
.
SELECTION_METHOD_RWS
,
TrainerParameters
.
POPULATION_INITIALIZATION_RANDOM
);
TrainerParameters
parameters
=
new
TrainerParameters
(
null
,
100
,
30
,
10
,
100
,
SelectionMethod
.
RWS
,
GenerationMethod
.
RANDOM
);
this
.
trainer
=
new
Trainer
(
parameters
,
new
SolutionDistance
(
5
));
}
...
...
@@ -255,13 +257,13 @@ class TrainerTest {
List
<
Double
>
expected
=
generateExpected
(
100
);
List
<
AbstractSolution
>
computed_population
=
this
.
trainer
.
computeDistances
(
population
,
data
,
expected
);
AbstractSolution
best_solution
=
this
.
trainer
.
findBestSolution
(
computed_population
);
List
<
AbstractSolution
>
parents
=
this
.
trainer
.
selectParents
(
computed_population
,
30
,
TrainerParameters
.
SELECTION_METHOD_
TOS
);
List
<
AbstractSolution
>
parents
=
this
.
trainer
.
selectParents
(
computed_population
,
30
,
SelectionMethod
.
TOS
);
assertEquals
(
best_solution
,
parents
.
get
(
0
));
assertEquals
(
30
,
parents
.
size
());
computed_population
=
this
.
trainer
.
computeDistances
(
population
,
data
,
expected
);
best_solution
=
this
.
trainer
.
findBestSolution
(
computed_population
);
parents
=
this
.
trainer
.
selectParents
(
computed_population
,
30
,
TrainerParameters
.
SELECTION_METHOD_
RWS
);
parents
=
this
.
trainer
.
selectParents
(
computed_population
,
30
,
SelectionMethod
.
RWS
);
assertEquals
(
best_solution
,
parents
.
get
(
0
));
assertEquals
(
30
,
parents
.
size
());
...
...
@@ -280,7 +282,7 @@ class TrainerTest {
List
<
List
<
Double
>>
data
=
generateData
(
100
,
5
);
List
<
Double
>
expected
=
generateExpected
(
100
);
population
=
this
.
trainer
.
computeDistances
(
population
,
data
,
expected
);
List
<
AbstractSolution
>
parents
=
this
.
trainer
.
selectParents
(
population
,
10
,
TrainerParameters
.
SELECTION_METHOD_
RWS
);
List
<
AbstractSolution
>
parents
=
this
.
trainer
.
selectParents
(
population
,
10
,
SelectionMethod
.
RWS
);
this
.
trainer
.
reproduce
(
parents
.
get
(
0
),
parents
.
get
(
1
),
parents
,
1
,
0.25875
);
List
<
Double
>
expected_weight_w_child_1
=
Arrays
.
asList
(
new
Double
[]{
0.29251897956852974
,
0.177172118
,
0.053456076807862664
,
0.35802487078331857
,
0.15845805675613056
});
List
<
Double
>
expected_weight_w_child_2
=
Arrays
.
asList
(
new
Double
[]
{
0.28029560126515357
,
0.159332272
,
0.08953411511177484
,
0.17126082447600055
,
0.25994701067132736
});
...
...
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