Commit Graph

27 Commits (c35c75682f1bd80f556818aef74be946eb26ea65)

Author SHA1 Message Date
Primoz 001d400729 Clean features and create input files based on all possible targets. 2022-10-06 14:28:12 +00:00
Primoz eaf4340afd Small imputation and cleaning corrections. 2022-09-20 08:03:48 +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
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
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 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 f13a91044d Write questionnaire data to data/interim. 2022-03-01 11:39:58 +01:00
junos 30ac8b1cd5 Start calculating demand control features. 2022-02-23 19:08:10 +01:00
junos 176367631b Prepare baseline feature rule. 2022-02-23 11:09:33 +01:00
junos bf9c764c97 Split baseline data to participants.
And some csv I/O settings.
2022-02-04 18:37:57 +01:00
junos 16e608db74 First merge baseline datasets. 2022-02-04 18:21:42 +01:00
junos 204f6f50b0 Read the relevant files. 2022-02-04 18:06:02 +01:00
junos 685ed6a546 Set up demographic data download. 2022-02-04 17:37:00 +01:00
junos ffa7a30575 Make place for STRAW models. 2022-02-04 17:25:24 +01:00
Meng Li 5bad3eb8b5
Data cleaning (#166)
* Refactor data cleaning module: move it from example workflow to main directory

* Replace NAs with 0 in selected event-based features

* Add one step to drop highly correlated features

Co-authored-by: Weiyu <weiyuhuang7@gmail.com>
2021-11-19 10:34:36 -05:00
Meng Li 2b6447105a Migrate analysis example to new data stream 2021-03-12 19:52:34 -05:00
JulioV fae0c2ac05 Swap TABLE for CONTAINER 2021-03-12 18:14:49 -05:00
JulioV 614e759551 Refactor day segments to time segments 2020-12-02 18:41:03 -05:00
Meng Li 5178be585d Rename modeling.py to modelling.py & Update example_config.yaml 2020-11-25 22:35:38 -05:00
Meng Li b4a512faf3 Add analysis example workflow 2020-11-25 16:34:05 -05:00
Meng Li 00385dc54d Discard useless parameters and related code of example 2020-08-17 10:48:15 -04:00
JulioV b83f8ead44 Refactor snakefiles to smk files and create common.smk 2020-08-11 18:45:50 -04:00