Skip to content

Commit

Permalink
Add automated GitHub Release creation, v1.1.1
Browse files Browse the repository at this point in the history
  • Loading branch information
LaErre9 authored Sep 9, 2021
1 parent 102d5cb commit 77171f8
Showing 1 changed file with 10 additions and 13 deletions.
23 changes: 10 additions & 13 deletions .github/workflows/auto_release.yaml
Original file line number Diff line number Diff line change
@@ -1,24 +1,21 @@
name: "release"
# Name of the workflow
name: Release

# Run on every commit tag which begins with "v" (e.g., "v0.1.4")
on:
push:
branches:
- "main"
tags:
- "v*"

# Automatically create a GitHub Release, with release details specified (the relevant commits)
jobs:
pre-release:
release:
name: "Release"
runs-on: "ubuntu-latest"

steps:
# ...
- name: "Build & test"
run: |
echo "done!"
- uses: "marvinpinto/action-automatic-releases@latest"
with:
repo_token: "${{ secrets.GITHUB_TOKEN }}"
automatic_release_tag: "latest"
prerelease: true
title: "POC_MLOps_Covid_Probability_Infection_Checker"
prerelease: false
title: "Development Build"

3 comments on commit 77171f8

@github-actions
Copy link

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Experiment vs. Main

Predizione fatta sui seguenti sintomi = breathing problem, fever, dry cough, heart disease, hyper tension, fatigue.

Path Metric Old New Change
test/test_score_and_prediction.json Prediction 0.65129 0.65129 -0.0

Se 'change' ha valore compreso tra [-0.01, 0.01] allora è possibile fare il merge con la nuova soluzione

CML watermark

@github-actions
Copy link

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Model score

Training variance explained: 96.9%
Test variance explained: 97.2%

Data visual

CML watermark

@github-actions
Copy link

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Path Metric Old New Change
results/metrics.json accuracy 0.97238
results/metrics.json precision 0.97547
results/metrics.json sensitivity 0.99094
results/metrics.json specificity 0.89163

CML watermark

Please sign in to comment.