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196 Commits (cdff4da93001e5fb3fbafde502edc16a1aa340e5)

Author SHA1 Message Date
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
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 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 005b09cfdf [WIP] Fix tests to use pyprojroot. 2021-10-29 12:07:12 +02:00
junos 6fc0d962ae Remove low values of pressure. 2021-10-22 18:09:17 +02:00
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 a63a7eac99 [WIP] Add a test for SensorFeatures. 
Additional analysis for adherence.
Small corrections.
 2021-10-13 13:39:58 +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 20748890a8 Further refactor by moving helper functions. 2021-09-15 15:14:54 +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 0152fbe4ac Delete the leftover class. 
Add more prints.
 2021-08-23 16:09:23 +02:00
junos 3611fc76f7 Fill NaNs after merging all features. 2021-08-21 19:48:57 +02:00
junos ee30c042ea Fill NaNs introduced in merge for proximity. 2021-08-21 19:40:42 +02:00
junos a71e132edf Prepare the first full pipeline. 2021-08-21 19:04:09 +02:00
junos 24c4bef7e2 Print some more messages. 2021-08-21 19:03:44 +02:00
junos 11381d6447 Add some print statements for monitoring progress. 2021-08-21 18:54:02 +02:00
junos d19995385d Account for the case when there is no data for days with labels. 2021-08-21 18:49:57 +02:00
junos f73f86486a Fill communication features with appropriate values. 2021-08-21 18:28:22 +02:00
junos aed73bb7ed Add fill values for communication for rows with no calls/smses. 2021-08-21 18:17:58 +02:00
junos 8507ff5761 Check for NaNs in the data, since sklearn.LinearRegression cannot handle them. 2021-08-21 17:46:00 +02:00
junos 0b85ee8fdc Merge branch 'master' into ml_pipeline 2021-08-21 17:37:45 +02:00
junos e2e268148d Fill in 0.5 for undefined ratio. 
When there are no calls and no smses (of a particular type), the ratio is undefined. But since their number is the same, I argue that the ratio can represent that with a 0.5, similarly to the case where no_calls_all = no_sms_all != 0.
 2021-08-21 17:33:31 +02:00
junos 00015a3b8d Fill in zeroes when joining or unstacking. 
If there are no calls or smses for a particular day, there is no corresponding row in the features dataframe. When joining these, however, NaNs were introduced. Since a value of 0 is meaningful for all of these features, replace NaNs with 0's.
 2021-08-21 17:31:15 +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 97c693d252 Add a getter for communication data. 2021-08-19 17:36:26 +02:00
junos 93f136b080 Add a method to get communication features. 2021-08-19 17:32:02 +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 52664eb40b Implement getters. 2021-08-19 11:47:59 +02:00
junos de92e1309d Merge branch 'master' into ml_pipeline 2021-08-18 17:30:36 +02:00
junos 777e6f0a58 calls_sms_features() now returns all communication features. 2021-08-18 15:41:47 +02:00
junos 2d78aacd18 Compile a list of contact features and add a test. 2021-08-18 15:35:42 +02:00
junos c88336481e Add a test for SMS features. 2021-08-18 15:28:46 +02:00
junos 1bc996413e Clarify names for no_all calls/sms feature. 
Add another test.
 2021-08-18 15:23:30 +02:00