Go to file

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
.idea	Add SMS data exploration and use Jupytext to save JupyterNotebooks as py scripts.	2021-05-07 12:10:46 +02:00
config	Convert the class into a YAML object.	2021-08-19 16:31:42 +02:00
data	Add tests for proximity.	2021-08-17 16:07:52 +02:00
exploration	Accept nested feature configuration.	2021-08-19 17:23:23 +02:00
features	calls_sms_features() now returns all communication features.	2021-08-18 15:41:47 +02:00
machine_learning	Accept nested feature configuration.	2021-08-19 17:23:23 +02:00
participants	Add Seaborn and cleanup.	2021-04-09 15:33:52 +02:00
statistical_analysis	Further reduce figure height and increase font size.	2021-08-04 18:05:52 +02:00
test	calls_sms_features() now returns all communication features.	2021-08-18 15:41:47 +02:00
.gitignore	[WIP] Start calculating concordance.	2021-06-08 16:07:39 +02:00
README.md	Convert the class into a YAML object.	2021-08-19 16:31:42 +02:00
setup.py	Add a method to get Calls data.	2021-01-05 17:00:45 +01:00

STRAW2analysis

All analysis for the STRAW project.

To install:

Create a conda virtual environment from the environment.yml file.
```
cd config
conda env create --file environment.yml
conda activate straw2analysis
```
If you have already created this environment, you can update it using:
```
conda deactivate
conda env update --file environment.yml
conda activate straw2analysis
```
To use this environment in the Jupyter notebooks under ./exploration/, you can select it under Kernel > Change kernel after running:
```
ipython kernel install --user --name=straw2analysis
```
Provide a file called .env to be used by python-dotenv which should be placed in the top folder of the application and should have the form:
```
DB_PASSWORD=database-password
```