junos
/
rapids
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity
1,344 Commits
15 Branches
26 Tags
26 MiB
Commit Graph

656 Commits (5a777ac79f81764c4eeb2788ec5cca4cb4036666)

Author SHA1 Message Date
Primoz 5a777ac79f Working version that integrates both phone and empatica feature calculations. 2022-07-07 15:00:47 +00:00
Primoz 0425403951 Merge branch 'master' of https://repo.ijs.si/junoslukan/rapids 2022-07-06 11:53:31 +00:00
Primoz 887fd7dc72 Merge branch 'empatica_calculating_features' 2022-07-06 11:53:21 +00:00
Primoz d2758eef46 Set not NaN sum insted of 0 sum for HRV features windows. 2022-07-06 07:36:35 +00:00
Primoz 2d5d23b615 Testing files change and remove standardization from hrv sensors main files. 2022-07-06 07:35:39 +00:00
Primoz 505c3a86b9 Testing different EDA findPeaks parameters. 2022-06-30 15:15:37 +00:00
Primoz c851ab0763 Fill EDA NaN values where numPeak is zero. Other small changes. 2022-06-21 14:09:49 +00:00
Primoz dda4554d46 Various small changes. 2022-06-15 13:57:46 +00:00
Primoz 212cf300f8 Debugging EDA signal - preliminary step for imputation. 2022-06-14 15:09:14 +00:00
Primoz 9ea39dc557 Standardization as a Snakefile's rule enabled for all E4 sensors. 2022-06-13 18:17:30 +00:00
Primoz 402059871f Making standardization as a rule. WIP: done only for BVP. 2022-06-13 14:12:03 +00:00
Primoz 094743244d Added SO feature for sum all rows that are non zero for BVP and IBI sensors. 2022-06-13 10:51:22 +00:00
primoz e1d7607de4 Extraction of additional SO features. Min/max has been changed to nsmallest/nlargest means. 2022-06-10 12:34:48 +00:00
primoz f371249b99 First order features standardization WIP 2022-06-09 13:35:15 +00:00
primoz 2c7ac21465 Added standardization on SO features. 2022-06-06 13:51:15 +00:00
primoz 2acf6ff9fb Exception handling in case of empty ibi. Changes of the method EDA uses in main.py. Other small corrections. 2022-06-03 12:34:36 +00:00
primoz d300f0f8f0 Fixed RAPIDS bug: error when IBI.csv is empty. 2022-06-02 11:43:49 +00:00
Primoz 5532043b1f Patching IBI with BVP - completed. 2022-05-25 19:39:47 +00:00
Primoz bb62497ba6 Patching IBI with BVP - selecting appropriate pipeline entry point. WIP 2022-05-24 11:07:18 +00:00
Primoz 2a8f58f5c8 Patching IBI with BVP. WIP 2022-05-20 13:18:45 +00:00
Primoz 6864cfe775 Changes after thorough testing with available data. 2022-05-13 13:35:34 +00:00
Primoz c1564f0cae Changed wrapper method calculate_feature to its newest version (for TEMP and ACC). 2022-05-11 14:21:21 +00:00
Primoz 31e36e7400 Alternating Second order and full segment features corresponding to config settings. 2022-05-11 08:50:15 +00:00
Primoz 9cf9e1fe14 Testing and modifying the code with different E4 data. 2022-05-10 11:36:49 +00:00
Primoz f62a1302dd Cr-features corrections for ACC and TEMP sensors 2022-05-09 11:01:52 +00:00
Primoz 5638367999 Implementation of the second order features. 2022-04-25 13:07:03 +00:00
Primoz 66451160e9 Calculating HRV features with IBI.csv. 2022-04-20 10:44:51 +00:00
= 8c8fe1fec7 Modifications, mostly imports, after changes in cr-features module. 2022-04-19 13:24:46 +00:00
= 075c64d1e5 HRV: changed wrapper calcFeat method with specialized one. 2022-04-14 11:51:53 +00:00
junos c05b047c2d Correct outstanding baseline feature mistake. 2022-04-13 17:05:16 +02:00
junos 53ec52a954 Disable (SOME) feature cleaning for ESM data. 2022-04-13 16:01:31 +02:00
= 3c058e4463 Add option to calculate features within windows and store it in CSV (all sensors). 2022-04-13 13:18:23 +00:00
junos 144f0d0dcf Account for missing baseline data. 2022-04-13 14:56:28 +02:00
junos ed5314aa98 Merge remote-tracking branch 'origin/master' 2022-04-12 17:27:25 +02:00
junos a6a37c7bd9 Drop NaN targets. 
This mirrors INNER join in merge_features_and_targets_for_individual_model.py:

data = pd.concat([sensor_features, targets[["target"]]], axis=1, join="inner")
 2022-04-12 17:01:49 +02:00
junos 9f5edf1c2b Revert "Add a rule for model baselines." 
The example was for a classification rather than regression problem.

This reverts commit 9ab0c8f289.

# Conflicts:
#	rules/models.smk
 2022-04-12 16:59:42 +02:00
junos 4ad261fae5 Rename baseline features AGAIN. 
Correct other mistakes.
 2022-04-12 16:55:01 +02:00
= 74cf4ada1c Cr-feat window length for all empaticas sensors. 2022-04-12 14:00:44 +00:00
junos 9ab0c8f289 Add a rule for model baselines. 
Add baselines and helper functions to main models dir.
 2022-04-12 14:23:58 +02:00
junos f5688f6154 Add a rule to merge sensor and baseline features. 
And select target as before.
 2022-04-08 15:42:04 +02:00
junos b1f356c3f7 Extract a function to be used elsewhere. 2022-04-08 15:36:32 +02:00
junos 7ff3dcf5fc Move and rename target variable. 2022-04-06 18:21:09 +02:00
junos 50c0defca7 Select target columns (no parsing necessary). 2022-04-06 18:16:49 +02:00
junos ac86221662 [WIP] Add a rule to parse targets. 
Does nothing for now.
 2022-04-06 17:47:03 +02:00
junos d326a1b09d Include the constant directly in main.py. 2022-04-05 19:08:43 +02:00
junos 2e545e81f0 Include feature calculations for different scales. 2022-04-05 19:05:34 +02:00
junos cbc8ae4e03 Add necessary checks for empty data frames. 2022-04-05 18:58:09 +02:00
junos 751b04f3f4 Pass scale names to Snakemake correctly. 2022-04-05 18:14:37 +02:00
junos 99245afca3 Try a different approach for preprocessing ESMs. 
It is important that this follows generic RAPIDS pattern.
In the subsequent step of calculating features,
there is an expected file and folder structure of data/interim.
See rules/common.smk/find_features_files()
 2022-04-05 18:02:31 +02:00
junos ed298a9479 Implement the basic feature extraction steps. 2022-04-05 15:46:02 +02:00