updating to Ray 2.7
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README.md
24
README.md
@ -101,7 +101,18 @@ We'll start by setting up our cluster with the environment and compute configura
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</details>
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</details>
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### Git setup
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Create a repository by following these instructions: [Create a new repository](https://github.com/new) → name it `Made-With-ML` → Toggle `Add a README file` (**very important** as this creates a `main` branch) → Click `Create repository` (scroll down)
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Now we're ready to clone the repository that has all of our code:
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```bash
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git clone https://github.com/GokuMohandas/Made-With-ML.git .
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```
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### Credentials
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### Credentials
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```bash
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```bash
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touch .env
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touch .env
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```
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```
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@ -113,16 +124,6 @@ GITHUB_USERNAME="CHANGE_THIS_TO_YOUR_USERNAME" # ← CHANGE THIS
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source .env
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source .env
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```
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```
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### Git setup
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Create a repository by following these instructions: [Create a new repository](https://github.com/new) → name it `Made-With-ML` → Toggle `Add a README file` (**very important** as this creates a `main` branch) → Click `Create repository` (scroll down)
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Now we're ready to clone the repository that has all of our code:
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```bash
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git clone https://github.com/GokuMohandas/Made-With-ML.git .
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```
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### Virtual environment
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### Virtual environment
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<details>
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<details>
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@ -385,7 +386,8 @@ export RUN_ID=$(python madewithml/predict.py get-best-run-id --experiment-name $
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pytest --run-id=$RUN_ID tests/model --verbose --disable-warnings
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pytest --run-id=$RUN_ID tests/model --verbose --disable-warnings
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# Coverage
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# Coverage
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python3 -m pytest tests/code --cov madewithml --cov-report html --disable-warnings
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python3 -m pytest tests/code --cov madewithml --cov-report html --disable-warnings # html report
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python3 -m pytest tests/code --cov madewithml --cov-report term --disable-warnings # terminal report
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```
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```
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## Production
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## Production
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@ -8,7 +8,7 @@ numpy==1.24.3
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numpyencoder==0.3.0
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numpyencoder==0.3.0
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pandas==2.0.1
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pandas==2.0.1
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python-dotenv==1.0.0
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python-dotenv==1.0.0
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ray[air]==2.6.0
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ray[air]==2.7.0
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scikit-learn==1.2.2
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scikit-learn==1.2.2
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snorkel==0.9.9
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snorkel==0.9.9
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SQLAlchemy==1.4.48
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SQLAlchemy==1.4.48
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