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Right now there is no way of telling if the Auto(*) tests actually fail as we're not raising errors when training the pipelines. To solve this we can check for `NaN` scores or raise errors.
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After you call fit, you need to select the model you want to use before calling `predict`. In that way, it's not like other objects that have a fit method. `fit` is more like `search` in this case.
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Although we refactored pipelines we did not give users the option to use custom pipelines and components as part of AutoML search.
- [ ] Configure Autobase API to accept additional pipelines
- [ ] U…
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I would use the paragraph starting “Setting Up a Pipeline Search” in the overview https://evalml.featurelabs.com/en/latest/automl/pipeline_search.html#Setting-up-pipeline-search. Highlight the steps “…
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Get read the docs to default to latest release. Also have it show docs for all previous releases
evalml.featurelabs.com
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New errors on the fraud page:
https://evalml.featurelabs.com/en/latest/demos/fraud.html
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* Beginning pipeline search *
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Optimi…