Commit Graph

261 Commits (2bb95657d8a546c2654e6f1c12ca5f2dacdf5373)

Author SHA1 Message Date
junos 2bb95657d8 Finish classification presentation. 2022-12-08 10:02:13 +01:00
junos 852e17afbe Define classification models method. 2022-12-08 10:00:14 +01:00
junos 509707855e Prepare classification presentation. 2022-12-07 21:43:34 +01:00
junos 8ea0c1834c Present event stressfulness results. 2022-12-07 21:26:35 +01:00
junos 8131626c4a Include more metrics in regression helper methods. 2022-12-07 21:25:05 +01:00
junos 95ab66fd81 Move to presentation. 2022-12-07 21:24:20 +01:00
junos 525496418f Configure jupytext. 2022-12-07 16:22:41 +01:00
junos 12f2c927fa Merge branch 'ml_pipeline' of repo.ijs.si:junoslukan/straw2analysis into ml_pipeline
# Conflicts:
#	exploration/ml_pipeline_daily.py - deleted
2022-12-07 15:36:52 +01:00
junos 71e1fcf8ca Save results. 2022-12-07 15:33:18 +01:00
Primoz cf0e4f89be Test nonstandardized data with regular classification pipeline. 2022-11-29 14:06:06 +01:00
Primoz 7504aa34cf Add additional categorical features (uncomment). 2022-11-28 13:42:46 +01:00
Primoz 9a218c8e2a Add a script for two class train test split clustering classification. 2022-11-25 14:44:11 +01:00
Primoz 98f78d72fc Create a classification models class and use it in the ml pipeline script. 2022-11-25 12:35:45 +01:00
Primoz 218b684514 Automize clustering classification logic and add parameters at the begining of the scripts. General changes and improvements. 2022-11-24 16:12:20 +01:00
Primoz ddde80b421 Add classification with clustering ml pipeline script. 2022-11-24 09:24:13 +01:00
Primoz 7afef5582f Add TEMP lime_survey cols 2022-11-22 14:44:33 +01:00
Primoz 183758cd37 Improve general ml classification pipeline script. 2022-11-22 14:31:49 +01:00
Primoz 40029a8205 Add a script for ml classification pipeline. 2022-11-21 14:47:19 +01:00
Primoz ae0f54ecc2 Combine different segment scripts and set ml pipeline as a regression problem. 2022-11-21 11:41:11 +01:00
Primoz 8defb271c9 Extend ml pipeline scripts with two additional CV methods. 2022-11-21 11:23:47 +01:00
junos ae2d7a038d Present results. 2022-11-16 21:36:43 +01:00
junos 389198b17f Prepare data in a separate step.
Change categorical features.
2022-11-16 19:34:18 +01:00
junos c462d55096 Update function with imputation already handled. 2022-11-16 18:18:12 +01:00
junos a5c09a292f Move function to helper.py 2022-11-16 18:13:30 +01:00
junos 848416bf6a Merge branch 'master' into ml_pipeline
# Conflicts:
#	.gitignore
#	rapids
2022-11-16 17:46:01 +01:00
Primoz b59798df26 Add a new file tailored for stressfulness event regression. 2022-11-16 14:49:40 +01:00
Primoz 87ebb9f296 Delete files ... add to gitignore 2022-11-16 11:08:03 +01:00
Primoz 1d8dcf8b21 Add 30 min features data and modify script. 2022-11-02 15:16:19 +01:00
Primoz 9f7fa0c8e0 Add 18 hour daily data and slightly modify jupyter script. 2022-10-18 10:29:59 +02:00
Primoz cdff4da930 Merge branch 'ml_pipeline' of https://repo.ijs.si/junoslukan/straw2analysis into ml_pipeline 2022-10-17 22:15:17 +02:00
Primoz ad5f50babe Correctly imputed data uploaded on STRAW (all targets) 2022-10-12 12:48:10 +02:00
Primoz 466cd3dc23 Processing of a newly cleaned script. Addition of two ML models. And modifications with one hot encoding. 2022-10-10 16:47:00 +02:00
junos 2d2f0b916f Prepare a function to run all models from an input. 2022-08-31 18:46:14 +02:00
junos 1dcd060211 Merge branch 'rapids' 2022-08-31 16:20:42 +02:00
junos 8b8d626cf0 Merge branch 'ml_pipeline' into rapids
# Conflicts:
#	exploration/ex_ml_pipeline.py
2022-08-31 16:20:11 +02:00
junos 75782a53c2 Ignore some more data and commit RAPIDS submodule. 2022-08-31 16:13:47 +02:00
Primoz 27b2282ee0 Datasets (phone&E4 features) and Jupyter script of regression models. 2022-08-24 16:18:40 +02:00
junos a8fd96d2f1 Add analysis using RAPIDS. 2022-08-23 16:41:41 +02:00
junos 79fd5298be Update RAPIDS. 2022-03-16 19:20:25 +01:00
junos ff006c0834 Update RAPIDS. 2022-03-16 15:52:19 +01:00
junos 6295cc8e91 Add baseline data capabilities. 2022-02-04 18:39:32 +01:00
junos 360ec7de4b Update RAPIDS. 2022-02-04 17:20:11 +01:00
junos e177b15058 Clean features across participants.
Explore the best linear regression feature.
2022-01-19 13:41:09 +01:00
junos 832eb6137e ML with RAPIDS and missing values. 2022-01-19 12:53:03 +01:00
junos 702b091d73 Read RAPIDS features and create columns. 2022-01-07 17:00:12 +01:00
junos 257a044227 Update RAPIDS. 2022-01-07 12:22:50 +01:00
junos ae358f1e24 Various improvements of RAPIDS. 2021-12-15 20:22:22 +01:00
junos 4dee4b6fc1 Add info about updating RAPIDS. 2021-12-15 20:21:59 +01:00
junos ed3483ace4 Update RAPIDS to v1.7.1. 2021-12-15 18:35:26 +01:00
junos de10269d36 Export categories and add csv. 2021-12-15 18:26:20 +01:00