Commit Graph

1454 Commits (286de93bfd55710d77c2e4bab899e73381f9a4a3)

Author SHA1 Message Date
Primoz 9884b383cf Testing new data with AutoML. 2022-10-10 16:45:38 +00:00
Primoz 2dc89c083c Small changes in cleaning overall 2022-10-07 08:52:12 +00:00
Primoz 001d400729 Clean features and create input files based on all possible targets. 2022-10-06 14:28:12 +00:00
Primoz 1e38d9bf1e Standardization and correlation visualization in overall cleaning script. 2022-10-06 13:27:38 +00:00
Primoz a34412a18d E4 data yield corrections. Changes in overal cs - standardization. 2022-10-05 14:16:55 +00:00
Primoz 437459648f Errors fix: individual script - treat participants missing data. 2022-10-05 13:35:05 +00:00
Primoz 53f6cc60d5 Config and cleaning script necessary changes ... 2022-10-03 13:06:39 +00:00
Primoz bbeabeee6f Last changes before processing on the server. 2022-10-03 12:53:31 +00:00
Primoz 44531c6d94 Code cleaning, reworking cleaning individual based on changes in overall script. Changes in thresholds. 2022-09-30 10:04:07 +00:00
Primoz 7ac7cd5a37 Preparation of the overall cleaning script. 2022-09-29 14:33:21 +00:00
Primoz 68fd69dada Cleaning script for individuals: corrections and comments. 2022-09-29 11:55:25 +00:00
Primoz a4f0d056a0 Fillna for app foreground and activity recognition 2022-09-29 11:44:27 +00:00
Primoz 6286e7a44c firstuseafter column removed from contextual imputation 2022-09-28 12:47:08 +00:00
Primoz 9b3447febd Contextual imputation correction 2022-09-28 12:40:05 +00:00
Primoz d6adda30cf Contextual imputation on time(first/last) features. 2022-09-28 12:37:51 +00:00
Primoz 8af4ef11dc Contextual imputation by feature type. 2022-09-28 10:02:47 +00:00
Primoz 536b9494cd Cleaning script corrections 2022-09-27 14:12:08 +00:00
Primoz f0b87c9dd0 Debugging of the empatica data yield integration. 2022-09-27 09:54:15 +00:00
Primoz 7fcdb873fe Merge branch 'imputation_and_cleaning' of https://repo.ijs.si/junoslukan/rapids into imputation_and_cleaning 2022-09-27 07:50:29 +00:00
Primoz 5c7bb0f4c1 Config changes 2022-09-27 07:48:32 +00:00
Primoz bd53dc1684 Empatica data yield usage in the cleaning script. 2022-09-26 15:54:00 +00:00
Primoz d9a574c550 Changes in the cleaning script and preparation of empatica data yield method. 2022-09-23 13:24:50 +00:00
Primoz 19aa8707c0 Redefined cleaning steps after revision 2022-09-22 13:45:51 +00:00
Primoz 247d758cb7 Merge branch 'imputation_and_cleaning' of https://repo.ijs.si/junoslukan/rapids into imputation_and_cleaning 2022-09-21 07:18:01 +00:00
Primoz 90ee99e4b9 Remove TODO comments 2022-09-21 07:16:00 +00:00
Primoz 7493aaa643 Small changes in cleaning scrtipt and missing vals testing. 2022-09-20 12:57:55 +00:00
Primoz eaf4340afd Small imputation and cleaning corrections. 2022-09-20 08:03:48 +00:00
Primoz a96ea508c6 Fill NaN of Empatica's SD second order feature (must be tested). 2022-09-19 07:34:02 +00:00
Primoz 52e11cdcab Configurations for new standardization path. 2022-09-19 07:25:54 +00:00
Primoz 92aff93e65 Remove standardization script. 2022-09-19 07:25:16 +00:00
Primoz 18b63127de Removed all standardizaton rules and configurations. 2022-09-19 06:16:26 +00:00
Primoz 62982866cd Phone wifi visible inspection (WIP) 2022-09-16 13:24:21 +00:00
Primoz 0ce6da5444 kNN imputation relocation and execution only on specific columns. 2022-09-16 11:30:08 +00:00
Primoz e3b78c8a85 Impute selected phone features with 0.
Wifi visible, screen, and light.
2022-09-16 10:58:57 +00:00
Primoz 7d85f75d21 Changes in phone features NaN values script. 2022-09-16 09:03:30 +00:00
Primoz 385e21409d Changes in NaN values testing script. 2022-09-15 14:16:58 +00:00
Primoz 18002f59e1 Doryab bluetooth and locations features fill in NaN values. 2022-09-15 10:48:59 +00:00
Primoz 3cf7ca41aa Merge branch 'imputation_and_cleaning' of https://repo.ijs.si/junoslukan/rapids into imputation_and_cleaning 2022-09-14 15:38:32 +00:00
Primoz d5ab5a0394 Writing testing scripts to determine the point of manual imputation. 2022-09-14 14:13:03 +00:00
Primoz dfbb758902 Changes in AutoML params and environment.yml 2022-09-13 13:54:06 +00:00
Primoz 4ec371ed96 Testing auto-sklearn 2022-09-13 09:51:03 +00:00
Primoz d27a4a71c8 Reorganisation and reordering of the cleaning script. 2022-09-12 13:44:17 +00:00
Primoz 15d792089d Changes in cleaning script:
- target extracted from config to remove rows where target is nan
- prepared sns.heatmap for further missing values analysis
- necessary changes in config and participant p01
- picture of heatmap which shows the values state after cleaning
2022-09-01 10:33:36 +00:00
Primoz cb351e0ff6 Unnecessary line (rows with no target value will be removed in cleaning script). 2022-09-01 10:06:57 +00:00
Primoz 86299d346b Impute phone and sms NAs with 0 2022-09-01 09:57:21 +00:00
Primoz 3f7ec80c18 Preparation a) phone_calls 0 imputation b) remove rows with NaN target 2022-08-31 10:18:50 +00:00
Primoz f78aa3e7b3 Preparation for cleaning & imputation 2022-08-26 10:56:14 +00:00
Primoz a620def209 Generate standardized model input files (NOTE: commented unstandardized sections!) 2022-08-24 13:42:39 +00:00
Primoz c498ecb742 Include baseline models (+corrections), disable columns drop in cleaning function. 2022-08-23 14:12:14 +00:00
Primoz f088e9586f Handle empty ACC.csv 2022-08-22 14:20:47 +00:00