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A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised learning.

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This is an auto-generated PR with **latest** dependency updates. Please do not delete the `latest-dep-update` branch because it's needed by the auto-dependency bot.

- There is currently in error in our docs which outputs the following ``` FutureWarning: The default dtype for empty Series will be 'object' instead of 'float64' in a future...

- Currently EvalML is required for dev-reqs - It should only be needed to build docs

Hi Team, as per [documentation](https://compose.alteryx.com/en/stable/) ComposeML is a crucial step for automated ML pipeline. For our project, the dataset cannot be loaded into pandas dataframe because of its huge size....

When the target column is a category dtype, the label search can come across empty target groups which results in an invalid offset error. A temporary workaround is using a...

I wonder about the best approach to create a Label that generates forward-looking classes. Example: A customer might purchase 12 times (on different dates). I want to assign a label...

## Performance Benchmarks Tracking the label maker performance for generating labels will be helpful to get a sense of how it changes in further development. - What approaches can be...

- Do we want to parallel compute the prediction engineering process? - Does the API in dask allow for a data slice generator? ### Process Initial thoughts on what the...

enhancements

Update footer for consistency with other repos.

documentation