stress_at_work_analysis/config/environment.yml

name: straw2analysis
channels:
  - conda-forge
dependencies:
  - python=3.11
  - black
  - isort
  - flake8
  - imbalanced-learn=0.10.0
  - jupyterlab
  - jupytext
  - lightgbm
  - mypy
  - nodejs
  - pandas
  - psycopg2 >= 2.9.1
  - pre-commit
  - python-dotenv
  - pytz
  - pyprojroot
  - pyyaml
  - seaborn
  - scikit-learn
  - sqlalchemy
  - statsmodels
  - tabulate
  - xgboost
Set up requirements. Install packages to check the code formatting. Do this before every commit. 2020-12-23 17:06:25 +01:00			`name: straw2analysis`
			`channels:`
Create the environment from file. Add conda-forge as a channel for some packages. 2020-12-24 11:41:21 +01:00			`- conda-forge`
Set up requirements. Install packages to check the code formatting. Do this before every commit. 2020-12-23 17:06:25 +01:00			`dependencies:`
Update python to 3.11. 2023-04-21 18:08:54 +02:00			`- python=3.11`
Only list the user-specified packages in environment.yml. Let conda satisfy dependencies on each platform separately. 2020-12-24 11:35:16 +01:00			`- black`
			`- isort`
			`- flake8`
Add undersampling method (with on/off parameter). 2022-12-13 17:01:46 +01:00			`- imbalanced-learn=0.10.0`
Copy Models and edit for imports. 2020-12-24 16:46:55 +01:00			`- jupyterlab`
Add SMS data exploration and use Jupytext to save JupyterNotebooks as py scripts. 2021-05-07 12:10:46 +02:00			`- jupytext`
Cluster by demand_control_ratio_quartile. 2023-01-04 18:16:14 +01:00			`- lightgbm`
Only list the user-specified packages in environment.yml. Let conda satisfy dependencies on each platform separately. 2020-12-24 11:35:16 +01:00			`- mypy`
Add SMS data exploration and use Jupytext to save JupyterNotebooks as py scripts. 2021-05-07 12:10:46 +02:00			`- nodejs`
Add a method to get Calls data. Add a test for this. 2021-01-05 17:00:45 +01:00			`- pandas`
[WIP] Add a test for SensorFeatures. Additional analysis for adherence. Small corrections. 2021-10-13 13:39:58 +02:00			`- psycopg2 >= 2.9.1`
Start using pre-commit hooks. 2023-04-24 15:38:54 +02:00			`- pre-commit`
Use SQLAlchemy to connect to DB. 2020-12-24 16:06:23 +01:00			`- python-dotenv`
Add a method to transform ESM data and the test. 2021-05-27 18:10:34 +02:00			`- pytz`
Save calculated features to csv files. 2021-08-23 16:36:26 +02:00			`- pyprojroot`
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			`- pyyaml`
Add Seaborn and cleanup. 2021-04-09 15:33:52 +02:00			`- seaborn`
Add an example for linear regression. 2021-08-12 16:54:00 +02:00			`- scikit-learn`
Look at frequencies of screen statuses and explain (un)lock sequences. 2021-05-05 17:20:19 +02:00			`- sqlalchemy`
Classify and count adherence. Add statsmodels. 2021-06-08 16:40:01 +02:00			`- statsmodels`
Add xgboost to dependencies and reformat helper.py. 2023-04-21 21:33:06 +02:00			`- tabulate`
Start using pre-commit hooks. 2023-04-24 15:38:54 +02:00			`- xgboost`