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Support for probabilistic learning systems #13

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@giuseta giuseta commented Nov 24, 2016 •
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The leap-integration branch contains the integration for SLIPCOVER system (https://sites.google.com/a/unife.it/ml/slipcover) and the measures commonly used to evaluate probabilistic learning sistems: AUCROC, AUCPR, Max-Accuracy and Log-Likelihood.

┆Issue is synchronized with this Trello card by Unito

giuseta added 30 commits May 24, 2016 15:22
@giuseta
Merge branch 'develop' of https://github.com/AKSW/SML-Bench into leap…
3de5b21 
…-integration
@giuseta
disabled doclint (if you compile with Java 8)
327cb54
@giuseta
Fixed small bug in LearningSystemConfig
a83120a
@giuseta
Merge branch 'leap-integration' of https://github.com/AKSW/SML-Bench …
92bbfe9 
…into leap-integration
@giuseta
small change in learningsystems/aleph/run script
3611c08
@giuseta
added sketch of run script for SLIPCOVER
748a7df
@giuseta
Merge branch 'develop' of https://github.com/AKSW/SML-Bench into leap…
bb502ac 
…-integration
@giuseta
Added prolog script for extraction of facts from knowledge base
acc3777
@giuseta
completed script for facts extraction from knowledge base (utility us…
1d56cb9 
…ed by SLIPCOVER). Completed run script for SLIPCOVER
@giuseta
Merge branch 'develop' of https://github.com/AKSW/SML-Bench into leap…
eff3e77 
…-integration
@giuseta
Some debug and added a new test in org.aksw.mlbenchmark.BenchmarkRunn…
3065564 
…erIT.java
@giuseta
Added ROC curve and AUCROC measures
eb0fc63
@giuseta
Moved CurvePointGenerationException into package org.aksw.mlbenchmark…
6c30356 
….validation.measures.exceptions
@giuseta
Added PR curve measure
6d0b47e
@giuseta
Improved interfaces for *CurveMethodMeasure. Test and Bug fixing of t…
10aa148 
…he new curve measures. Test classes for *CurveMethodMeasure
@giuseta
new run and preprocessing scripts
2c72576
@giuseta
Removed unused imports
d811eb3
@giuseta
modified SLIPCOVER to return the list of example results
c8ddc76
@giuseta
Set "cplint" language. Modified run and validate scripts for SLIPCOVE…
00dc012 
…R. validate outputs a list of query results
@giuseta
fixed small bug about the language used by a system
6b50567
@giuseta
Resolved bug for the computation of AUCPR
e87ed61
@giuseta
SLIPCOVER integration
e174a38
@giuseta
Carcinogenesis dataset for SLIPCOVER
2e863a2
@giuseta
Merge branch 'develop' of https://github.com/AKSW/SML-Bench into leap…
9b8368b 
…-integration
@giuseta
temporary solution in order to build
44e701a
@giuseta
modified run file for dllearner
2f37151
@giuseta
Fixed syntax error in dllearner/common.sh
fce467b
@giuseta
Added the 'father' learning task useful during test phase.
dde727a
@giuseta
modified run and validate for dllearner (TO BE TESTED)
5c13c83
@giuseta
Bug fix in run and validate scripts for dllearner learning system
afb2b75
giuseta and others added 24 commits June 24, 2016 15:27
@giuseta
First version of LEAP integration in SML-Bench (TO DO: code refactori…
4768038 
…ng and add new datasets)
@giuseta
Added dasets and language biases following the cplint syntax
10d1e2c
@giuseta
Merge branch 'develop' of https://github.com/AKSW/SML-Bench into leap…
183c199 
…-integration
@giuseta
Fixed bug with validate script of SLIPCOVER
7ccad90
@giuseta
just some logging
1c83bb1
@giuseta
added one more check during the measure computation
82f21cd
@giuseta
Added SLIPCOVER to READMEs
be67732
@giuseta
SLIPCOVER README
241f56d
@giuseta
Added learning tasks for DL-Learner/LEAP
886f374
@giuseta
Added mutagenesis learning task for LEAP
82d3adb
@giuseta
set dummyClass for LEAP in dllearner.conf
55c620b
@giuseta
Added more dllearner configurations for LEAP
b016fbc
@giuseta
Merge branch 'develop' of https://github.com/AKSW/SML-Bench into leap…
3103488 
…-integration
@giuseta
Revert "Merge branch 'develop' of https://github.com/AKSW/SML-Bench i…
7bdd79c 
…nto leap-integration"

This reverts commit 3103488, reversing
changes made to b016fbc.
@giuseta
Updated SLIPCOVER validation script
607ba45
@giuseta
Added new class for measure (org.aksw.mlbenchmark.validation.measures…
94f4dd8 
….MaxAccuracyMeasure) that computes the Max Accuracy from a set of probabilistic example results
@giuseta
Added MaxAccuracy meature for probabilistic structure learning algorithm
25e9687
@giuseta
Added Log-Likelihood measure
8429ed0
@giuseta
Log-likelihood measures and test unit
fd244af
@LorenzBuehmann @giuseta
Utility class to merge multiple ontologies + the assembly task to gen…
021c4b4 
…erate the CLI script.
@giuseta
Restored OntologyMerger class
9c8bb50
@giuseta
support for distributed versions of a learning algorithm
7727d17
@giuseta
Numeric measures computed with BigDecimal (to avoid approximation err…
b6883bb 
…ors)
@giuseta
Fixed validate script for LEAP/DL-Learner
a21a058
@patrickwestphal patrickwestphal self-assigned this Mar 4, 2019
@patrickwestphal patrickwestphal added this to the 0.3 milestone Mar 4, 2019
@patrickwestphal patrickwestphal modified the milestones: 0.3, 0.4 Jan 7, 2020
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