495d8a8528
Begin implementing grid combinations
2023-11-21 13:11:14 +01:00
4628e48d3c
Build gridsearch structure
2023-11-20 23:32:34 +01:00
5876be4b24
Add more install instructions of Boost to README
2023-11-20 20:39:22 +01:00
dc3400197f
Add coment todo impelemt number of nodes
2023-11-20 01:14:13 +01:00
26d3a57782
Add info to invalid hyperparameter exception
2023-11-19 23:02:28 +01:00
4f3a04058f
Refactor Hyperparameters management
2023-11-19 22:36:27 +01:00
89c4613591
Implement hyperparameters with json file
2023-11-18 11:56:10 +01:00
28f3d87e32
Add Python Classifiers
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Add STree, Odte, SVC & RandomForest Classifiers
Remove using namespace ... in project
2023-11-17 11:11:05 +01:00
e8d2c9fc0b
Set intolerant convergence
2023-11-17 10:26:25 +01:00
d3cb580387
Remove n_jobs from STree
2023-11-17 10:10:31 +01:00
f088df14fd
Restore the Creation model position in experiment
2023-11-17 01:10:46 +01:00
e2249eace7
Disable Warning messages in python clfs
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Disable removing Python env
2023-11-16 22:38:46 +01:00
64f5a7f14a
Fix header in example
2023-11-16 17:03:40 +01:00
408db2aad5
Mark override fit funtcion
2023-11-14 18:59:41 +01:00
e03efb5f63
set tolerance=0 if feature selection in BoostAODE
2023-11-14 10:12:02 +01:00
f617886133
Add new models to example
2023-11-14 09:12:25 +01:00
69ad660040
Refactor version method in PyClassifier
2023-11-13 13:59:06 +01:00
431b3a3aa5
Fit PyWrap into BayesNet
2023-11-13 11:13:32 +01:00
6a23e2cc26
Add CMakelist integration
2023-11-12 22:14:29 +01:00
f6e00530be
Add Pywrap sources
2023-11-12 21:43:07 +01:00
f9258e43b9
Remove using namespace from Library
2023-11-08 18:45:35 +01:00
92820555da
Simple fix
2023-10-28 10:56:47 +02:00
5a3af51826
Activate best score in odte
2023-10-25 10:23:42 +02:00
a8f9800631
Fix mistake when no results in manage
2023-10-24 19:44:23 +02:00
84cec0c1e0
Add results files affected in best results excel
2023-10-24 16:18:52 +02:00
130139f644
Update formulas to use letters in ranges in excel
2023-10-24 13:06:31 +02:00
651f84b562
Fix mistake in conditional format in bestresults
2023-10-24 11:18:19 +02:00
553ab0fa22
Add conditional format to BestResults Excel
2023-10-24 10:56:41 +02:00
4975feabff
Fix mistake in node count
2023-10-23 22:46:10 +02:00
32293af69f
Fix header in manage
2023-10-23 17:04:59 +02:00
858664be2d
Add total number of results in manage
2023-10-23 16:22:15 +02:00
1f705f6018
Refactor BestScore and add experiment to .env
2023-10-23 16:12:52 +02:00
7bcd2eed06
Add variable width of dataset name in reports
2023-10-22 22:58:52 +02:00
833acefbb3
Fix index limits mistake in manage
2023-10-22 20:21:50 +02:00
26b649ebae
Refactor ManageResults and CommandParser
2023-10-22 20:03:34 +02:00
080eddf9cd
Fix hyperparameters output in b_best
2023-10-20 22:52:48 +02:00
04e754b2f5
Adjust filename and hyperparameters in reports
2023-10-20 11:12:46 +02:00
38423048bd
Add excel to best report of model
2023-10-19 18:12:55 +02:00
64fc97b892
Rename utilities sources to match final names
2023-10-19 09:57:04 +02:00
2c2159f192
Add quiet mode to b_main
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Reduce output when --quiet is set, not showing fold info
2023-10-17 21:51:53 +02:00
6765552a7c
Update submodule versions
2023-10-16 19:21:57 +02:00
f72aa5b9a6
Merge pull request 'Create Boost_CFS' ( #11 ) from Boost_CFS into main
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Add hyper parameter to BoostAODE. This hyper parameter decides if we select features with cfs/fcbf/iwss before start building models and build a Spode with the selected features.
The hyperparameter is select_features
2023-10-15 09:22:14 +00:00
fa7fe081ad
Fix xlsx library finding
2023-10-15 11:19:58 +02:00
660e783517
Update validation for feature selection
2023-10-14 13:32:09 +02:00
b35532dd9e
Implement IWSS and FCBF too for BoostAODE
2023-10-14 13:12:04 +02:00
6ef49385ea
Remove unneeded method declaration FeatureSelect
2023-10-14 11:30:32 +02:00
6d5a25cdc8
Refactor CFS class creating abstract base class
2023-10-14 11:27:46 +02:00
d00b08cbe8
Fix Header for Linux
2023-10-13 14:26:47 +02:00
977ff6fddb
Update CMakeLists for Linux
2023-10-13 14:01:52 +02:00
54b8939f35
Prepare BoostAODE first try
2023-10-13 13:46:22 +02:00
