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86 Commits (848416bf6ad07b8fee4167db2d034d08f39203bb)

Author SHA1 Message Date
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