junos
/
stress_at_work_analysis
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity
340 Commits
6 Branches
0 Tags
79 MiB
Commit Graph

140 Commits (87781840d414ec78416dcc5be8096e92a84cbafa)

Author SHA1 Message Date
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 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 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 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 8b8d626cf0 Merge branch 'ml_pipeline' into rapids 
# Conflicts:
#	exploration/ex_ml_pipeline.py
 2022-08-31 16:20:11 +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 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 de10269d36 Export categories and add csv. 2021-12-15 18:26:20 +01:00
junos 7e8e922d71 Debugging of RAPIDS. 2021-12-15 18:25:53 +01:00
junos c4aacfffe1 Debug a ValueError in RAPIDS and add demo. 2021-12-15 16:03:49 +01:00
junos e33a49c9fc Add a demo of pipeline. 2021-11-17 10:44:49 +01:00
junos d34c2ec5e9 Merge branch 'ambient' into ml_pipeline 2021-11-17 10:39:55 +01:00
junos 92fbda242b Explore barometer and temperature data. 
Add docstrings to models.
 2021-10-14 17:59:33 +02:00
junos 6302a0f0d9 Merge ambient sensors into one file. 
Explore barometer sensor data for one phone.
 2021-10-13 16:57:38 +02:00
junos b8c7606664 Add an option to read cached labels from a file. 2021-09-15 15:45:49 +02:00
junos ed062d25ee Add export capabilities to labels.py. 2021-09-15 15:36:36 +02:00
junos 28699a0fdf Enable reading features from csv files. 2021-09-14 17:42:34 +02:00
junos af9e81fe40 Document the SensorFeatures class and its __init__ method. 2021-09-13 17:43:47 +02:00
junos b19eebbb92 Refactor machine_learning/pipeline.py by defining one class by file. 2021-09-13 11:41:57 +02:00
junos c1bb4ddf0f Save calculated features to csv files. 2021-08-23 16:36:26 +02:00
junos 065cd4347e [WIP] Add a class for model validation. 2021-08-20 19:44:50 +02:00
junos 0b98d59aad Aggregate labels using grouping_variable. 2021-08-20 19:17:22 +02:00
junos 08fdec34f1 Merge features into a common df. 
But first, group communication by the grouping_variable.
 2021-08-20 17:59:00 +02:00
junos 72b16af75c Make group_by consistent with communication. 2021-08-20 17:52:31 +02:00
junos d6337e82ac Merge branch 'master' into ml_pipeline 2021-08-20 17:43:53 +02:00
junos 9a319ac6e5 Add an option to group on other than just participant_id. 2021-08-20 17:41:12 +02:00
junos 6592612db7 Add a similar class for labels. 2021-08-19 17:44:04 +02:00
junos 5be3e82797 Accept nested feature configuration. 
To do this, pass a dict as parameters to SensorFeatures class, rather than actually reading the object from yaml file.
 2021-08-19 17:23:23 +02:00
junos 429aa43bd1 Add communication features to pipeline. 2021-08-19 17:05:44 +02:00
junos 0ed34e97b3 Convert the class into a YAML object. 
Add an example config file and demonstrate its usage in ex_ml_pipeline.ipynb.
 2021-08-19 16:31:42 +02:00
junos b06ec6e1ae [WIP] Methods to get the labels and data plus aggregate them. 2021-08-12 19:07:14 +02:00
junos 622477f19f [WIP] Start merging steps into a class for a pipeline. 2021-08-12 17:38:08 +02:00
junos 577a874288 Add an example for linear regression. 2021-08-12 16:54:00 +02:00
junos c8bb481508 Add a parameter for grouping. 2021-08-12 15:07:20 +02:00
junos 98f1df81c6 Use the same function for ESM and other data. 2021-08-11 17:26:44 +02:00
junos 070cfdba80 Start machine learning pipeline example. 
Select data and labels.
 2021-08-11 16:42:30 +02:00
junos af65d0864f Add a simple function for recoding proximity. 2021-08-11 15:04:27 +02:00
junos a06ad0800f Explore missing application categories. 2021-08-09 16:02:23 +02:00
junos e3d735163f Add demonstrations of new functions. 2021-08-06 18:53:39 +02:00
Ivan Kobe 4ac5f37c19 additional communication features 2021-08-06 18:53:39 +02:00
Ivan Kobe 62af04fe09 Communication 2021-08-06 16:44:39 +00:00
junos 9e87b1f176 Add an option to print figures and set font sizes. 2021-08-04 17:41:09 +02:00
junos 1aaf95fe9e Look at specific values of proximity. 2021-07-26 17:16:32 +02:00
junos d3f42ea402 Start exploring proximity. 2021-07-26 11:37:31 +02:00
junos 9580533c14 Explore between-participants differences in light. 2021-07-23 18:50:17 +02:00
junos dbb59c4aef Explore low levels of luminance. 2021-07-23 18:29:44 +02:00
junos 67e2d233b0 Start exploring light data. 2021-07-23 16:42:16 +02:00
junos 8bf21ab272 Explore JCQ demand and control. 2021-07-05 18:32:35 +02:00
junos e8005aadc6 Add SAM event and period analysis. 2021-07-04 16:29:53 +02:00
junos 48d7be780c Fix formatting. 2021-07-04 14:34:57 +02:00
junos 92a5787d62 Only convert some answers to numeric. 2021-07-04 14:34:13 +02:00
junos 3bb66e3838 Calculate daily means instead of sums. 2021-07-04 13:41:34 +02:00
junos 5362f64941 Explore PANAS statistics. 2021-07-03 18:46:06 +02:00
junos b8301ca458 Small corrections. 2021-07-03 18:45:46 +02:00
junos e0da6757ec Clean up ESM by eliminating non-answers. 
Convert radio string answer to numeric.
 2021-07-03 16:34:11 +02:00
junos 74392f229a Start exploring PANAS data. 
Add a function to clean up ESM data.
 2021-07-02 16:33:48 +02:00
junos c29c7b19f2 Rename ESM exploration. 2021-07-02 16:05:36 +02:00
junos 767548b562 Export figures and add additional linear regression analyses. 2021-06-14 17:09:45 +02:00
junos 23c3613c60 Analyze adherence: 
Look at time differences between subsequent daytime EMA.
Look at the daily evening EMA proportion.
 2021-06-11 20:28:24 +02:00
junos f48e5469e0 Finish labelling EMA sessions and document classify_sessions_adherence function. 2021-06-11 14:50:14 +02:00
junos 371e755159 Identify unique sessions and assign status. 
Use CONSTANT variables for these statuses.
 2021-06-11 13:50:24 +02:00
junos 04c069af47 Take the evening EMA time question into account as non-answered session. 2021-06-09 17:29:42 +02:00
junos 48f9f782f7 Add more baseline data for Belgium. 2021-06-08 16:01:46 +02:00
junos 7b88f62e0a Explore baseline screening data in a notebook. 2021-06-08 11:21:18 +02:00
junos d5cd76f05a [WIP] Prepare a function to classify adherence and illustrate steps in Jupyter Notebook. 2021-06-07 19:33:44 +02:00
junos 35a7fa0bbc Take device ID into consideration for grouping sessions. 2021-06-07 16:44:42 +02:00
junos 8306e99392 Explain the histogram better and explore long sessions. 2021-06-07 12:01:41 +02:00
junos 06c179f4dd Explain traditional concordance approach. 2021-06-02 18:42:39 +02:00
junos 2da9a8f9e3 Study session ID in depth. 2021-06-02 18:35:00 +02:00
junos 5cb527986b Look at the ESM data and test JSON expansion. 2021-06-01 12:10:42 +02:00
junos 0ea9d76a6f Remove remaining Jupyter notebook. 2021-05-07 12:53:10 +02:00
junos 81080f7504 Use Collection from collections.abc instead of typing.List. 2021-05-07 12:44:34 +02:00
junos d5056d9b2f Remove Jupyter Notebooks as they will be versioned as py scripts from now on. 2021-05-07 12:15:00 +02:00
junos 10bdc8aa1d Add SMS data exploration and use Jupytext to save JupyterNotebooks as py scripts. 2021-05-07 12:10:46 +02:00
junos 056db73786 Look at frequencies of screen statuses and explain (un)lock sequences. 2021-05-05 17:20:19 +02:00
junos db66d2201b Get screen data and look at counts of events. 2021-05-04 17:45:48 +02:00
junos f37e8dc0eb Add a plot of most frequent contacts. 2021-05-04 17:23:52 +02:00
junos 5ffd85e05b Visualize calls data. 2021-04-09 16:01:09 +02:00
junos 66b36faedc Add Seaborn and cleanup. 2021-04-09 15:33:52 +02:00
junos 9b495e63a3 Add a function to get sms data and illustrate in Jupyter notebook. 2021-04-06 16:50:40 +02:00
junos e4b6dc90e2 Start exploring screen data. 2021-02-02 18:08:07 +01:00