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Contains projects associated to the development of modeling products
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Khalim Conn-Kowlessar 24f0404c8d restructuring repo to split out static data build processes
2023-07-20 12:02:50 +01:00
.github/workflows fixing creation of epc token in github actions 2023-07-20 10:59:11 +01:00
.idea restructuring repo to split out static data build processes 2023-07-20 12:02:50 +01:00
backend restructuring repo to split out static data build processes 2023-07-20 12:02:50 +01:00
data_collection adzuna wip 2023-06-29 21:08:21 +01:00
infrastructure/terraform trying to get domain creation working 2023-07-17 15:03:24 +01:00
model_data restructuring repo to split out static data build processes 2023-07-20 12:02:50 +01:00
open_uprn restructuring repo to split out static data build processes 2023-07-20 12:02:50 +01:00
.dockerignore refactoring backend to incorporate model_data parts 2023-07-19 09:45:23 +01:00
.gitignore restructuring openUrpn code 2023-07-20 11:41:43 +01:00
make_serverless_requirements.sh testing creation of a combined requirements file for serverless deployment 2023-07-19 13:13:50 +01:00
package-lock.json restructuring openUrpn code 2023-07-20 11:41:43 +01:00
package.json restructuring openUrpn code 2023-07-20 11:41:43 +01:00
README.md Updated documentation for base readme 2023-07-05 13:08:53 +01:00
serverless.yml setting iam role to allow it to read from the bucket 2023-07-20 10:04:50 +01:00
serverless_requirements.txt Updated serverless requirements 2023-07-19 14:13:01 +01:00

README.md

Model Repository

This repository contains the code pertaining to the development of the data science and machine learning products being utilised by Hestia.

The different folders in this repository relate to services that can be used independently, or can be imported and used as part of a larger application

Folders

model_data/

This folder contains related to the reading and preparation of assessment model data, including pulling out epc attributes

Testing

All tests can be run, against the configuration in pytest.ini running

pytest

This will run the complete panel of tests and report on coverage in the locations specified by the pytest.ini file.

To run tests in a specific service, e.g. inside of model_data, simply run

pytest --cov-config=model_data/.coveragerc --cov=model_data

This will produce the test results and coverage reports