Skip to main content

Uniovi Simur WearablePerMed Pipeline.

Project description

Project generated with PyScaffold

Description

Uniovi Simur WearablePerMed Pipeline.

Schaffolding

Execute PyScaffold command to create the project:

$ putup --markdown uniovi-simur-wearablepermed-pipeline -p wearablepermed_pipeline \
     -d "Uniovi Simur WearablePerMed Pipeline." \
     -u https://github.com/SiMuR-UO/uniovi-simur-wearablepermed-pipeline.git 

Create a virtual environment inside for your project and active it:

$ python3 -m venv .venv
$ source .venv/bin/activate

Install and upgrade tox automation project manager:

$ pip install --upgrade tox

Install and upgrade project modules:

$ pip install -U pandas uniovi-simur-wearablepermed-utils

Code and Debugging

Install library modules:

$ pip install -r requirements.txt

Install module locally for debugg

$ pip install -e .

Update project requirements:

$ pip freeze > requirements.txt

If you want upgrade the pipeline library to the last uniovi-simur-wearablepermed-utils you must execute this command (two times):

$ pip install uniovi-simur-wearablepermed-utils --upgrade

Project management

Project commands for: test, clean, build, generate documentation or publish your library in pypi repository. Don't forget update the version library from setup.cfg project build file

$ tox
$ tox -e clean
$ tox -e build
$ tox -e docs
$ tox -e publish -- --repository pypi

Testing

Execute one pipeline from this command:

python3 main.py \
    --verbose \
    --execute-steps 2,3,4,5,6 \
    --dataset-folder /home/miguel/git/uniovi/simur/uniovi-simur-wearablepermed-utils/data/input \
    --participants-missing-file /home/miguel/temp/wearablepermed_pipeline/missing_end_datetimes.csv \
    --crop-columns 1:7 \
    --window-size 250 \
    --window-overlapping-percent 50 \
    --ml-models ESANN,RandomForest \
    --ml-sensors thigh,hip,wrist \
    --output-case-folder /home/miguel/git/uniovi/simur/uniovi-simur-wearablepermed-utils/data/output \
    --case-id case_sample

Note

This project has been set up using PyScaffold 4.6. For details and usage information on PyScaffold see https://pyscaffold.org/.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

uniovi_simur_wearablepermed_pipeline-1.9.0.tar.gz (27.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

File details

Details for the file uniovi_simur_wearablepermed_pipeline-1.9.0.tar.gz.

File metadata

File hashes

Hashes for uniovi_simur_wearablepermed_pipeline-1.9.0.tar.gz
Algorithm Hash digest
SHA256 4bdc48eee2ccc477a8793b90885cf5c547a90aeff7505fe9928f6d8285a63ef8
MD5 4d891cfb36d0506fedf7eb6e383de107
BLAKE2b-256 ff0bcb9359041c95ddd298d0c5cbd4e6c5233d64682634e300da50ea74ec3bf3

See more details on using hashes here.

File details

Details for the file uniovi_simur_wearablepermed_pipeline-1.9.0-py3-none-any.whl.

File metadata

File hashes

Hashes for uniovi_simur_wearablepermed_pipeline-1.9.0-py3-none-any.whl
Algorithm Hash digest
SHA256 8af1a0540c51c293708917c0fbf12707c4ec843d67e688702fd9e97c818b21fe
MD5 1bc41de02c5f71cd252a07548cf60110
BLAKE2b-256 df1dd951fe5491556ae6275a8ad46152aef51a598ff6a6ca007a56da0cac57b6

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page