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@@ -26,8 +26,8 @@ See the [examples in this repository](https://github.com/h2oai/driverlessai-reci | |
- Create custom recipes for model interpretability, fairness, robustness, and explanations. | ||
- Generate custom plots, charts, markdown reports, and more. | ||
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### Is Driverless AI sufficient without custom recipes? | ||
Driverless AI continues to improve with each version, so you may not need custom recipes. However, adding your own recipes can optimize performance for specific use cases. | ||
### Is H2O Driverless AI sufficient without custom recipes? | ||
H2O Driverless AI continues to improve with each version, so you may not need custom recipes. However, adding your own recipes can optimize performance for specific use cases. | ||
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### What's in it for me if I write a recipe? | ||
Writing recipes improves your data science skills and helps achieve better results. It is one of the best ways to enhance your expertise. | ||
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@@ -43,17 +43,17 @@ A text editor and knowledge of Python. Recipes are written as `.py` files with t | |
- Review the [examples in this repository](https://github.com/h2oai/driverlessai-recipes/blob/master/README.md#sample-recipes). | ||
- Upload your recipe in the Expert Settings section during the experiment setup. | ||
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### What version of Python does Driverless AI use? | ||
Driverless AI uses Python 3.6. Ensure your recipes are compatible with this version. | ||
### What version of Python does H2O Driverless AI use? | ||
H2O Driverless AI uses Python 3.6. Ensure your recipes are compatible with this version. | ||
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### How do I know if my recipe works? | ||
Driverless AI will notify you whether your recipe passes the acceptance tests. If it fails, feedback will guide you on how to fix it. | ||
H2O Driverless AI will notify you whether your recipe passes the acceptance tests. If it fails, feedback will guide you on how to fix it. | ||
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### How can I debug my recipe? | ||
Upload your recipe to the Expert Settings and use the experiment log for debugging. Alternatively, make minimal changes as shown in [this debugging example](./transformers/how_to_debug_transformer.py) and debug with a Python debugger, like PyCharm. | ||
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### What happens if my recipe is rejected during upload? | ||
Review the error message, which usually includes a stack trace and hints for fixing the issue. If you need help, ask questions in the [Driverless AI community Slack channel](https://www.h2o.ai/community/driverless-ai-community/#chat). You can also send your experiment logs zip file, which will contain the recipe source files. | ||
Review the error message, which usually includes a stack trace and hints for fixing the issue. If you need help, ask questions in the [H2O Driverless AI community Slack channel](https://www.h2o.ai/community/driverless-ai-community/#chat). You can also send your experiment logs zip file, which will contain the recipe source files. | ||
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### What if my transformer recipe doesn't lead to the highest variable importance? | ||
Features created by your transformer might not have the strongest signal, but they can still improve the overall model performance. | ||
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@@ -64,7 +64,7 @@ H2O Driverless AI will use the best-performing recipes. Check the experiment log | |
### Can I write recipes in Go, C++, Java, or R? | ||
You can use any language as long as you can interface it with Python. Many recipes rely on Java and C++ backends. | ||
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### Is there a difference between custom recipes and those shipped with Driverless AI? | ||
### Is there a difference between custom recipes and those shipped with H2O Driverless AI? | ||
Custom recipes are treated the same as built-in recipes. There is no performance penalty or calling overhead. | ||
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### Why are some models implemented as transformers? | ||
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When you upload a new version of a recipe, it becomes the default. Older experiments will continue using the previous version. | ||
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### Who can see my recipe? | ||
Anyone with access to the Driverless AI instance can run any uploaded recipe, but recipes are shared only within the instance. | ||
Anyone with access to the H2O Driverless AI instance can run any uploaded recipe, but recipes are shared only within the instance. | ||
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### How do I delete all recipes on my instance? | ||
To delete all recipes, remove the `contrib` folder from the data directory (usually `tmp`) and restart Driverless AI. This will prevent old experiments from making predictions unless related experiments are also deleted. | ||
To delete all recipes, remove the `contrib` folder from the data directory (usually `tmp`) and restart H2O Driverless AI. This will prevent old experiments from making predictions unless related experiments are also deleted. | ||
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### Are MOJOs supported for experiments that use custom recipes? | ||
In most cases, MOJOs are not available for custom recipes. Contact [email protected] for more details. | ||
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