model-pyday-bcn-2021

0. Repo setup (already run for you)

git clone git@github.com:daavoo/model-pyday-bcn-2021.git
cd model-pyday-bcn-2021

pip install -r requirements.txt

dvc init

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You should be able to follow all the steps bellow without leaving the browser.

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1. Fork this repo

• https://github.com/daavoo/model-pyday-bcn-2021

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2. Run Import Dataset Workflow

• Create folder on Google Drive.

• Copy the URL.

Add remote to `.dvc/config`

[core]
    remote = myremote
['remote "myremote"']
    url = gdrive://{YOUR_URL}

Create `secrets.GDRIVE_CREDENTIALS_DATA`

• Get the credentials: https://colab.research.google.com/drive/1Xe96hFDCrzL-Vt4Zj-cVHOxUgu-fyuBW

• Add new secret to GitHub repo.

• Go to Actions -> Import Dataset -> Run Workflow.

3. Run Train Workflow

• Edit params.yaml from the GitHub Interface.

• Change learning_rate.

• Select Create a new branch for this commit and start a pull request

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Bonus: Operation Vacation

• Update Train workflow to run on cron schedule.

Bonus: Run Pipeline from Studio

• https://studio.iterative.ai

• Access studio view: https://dvc.org/doc/studio/get-started

• Run the pipeline editing the params: https://dvc.org/doc/studio/user-guide/run-experiments