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EvalML is an AutoML library written in python.

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In production, it is necessary to obtain a feature processing method consistent with the trained model

- As a user, I wish I could use EvalML to predict my time series, allowing me to change the default `n_splits` options in `class evalml.automl.AutoMLSearch`. Nowadays this option does...

new feature

In #3599 , the ._set_index(X,y) function was introduced to the PolynomialDecomposer as a means to use either a pandas.DatetimeIndex or a column in X containing date time information to populate...

good first issue
tech debt

Not sure if this is reproducible or was just a weird state I got myself into, but after creating a new virtualenv on python 3.8.2 and following contributing.md (running `make...

bug

AutoMLSearch fails if the input contains Ordinal data from Featuretools, such as that generated by the `Year`, `Month`, etc primitives. #### Code Sample, a copy-pastable example to reproduce your bug....

bug

### Pull Request Description (replace this text with your description) ----- *After creating the pull request: in order to pass the **release_notes_updated** check you will need to update the "Future...

We currently have two functions for downcasting Nullable types to non-nullable types, `downcast_int_nullable_to_double`, and `downcast_nullable_types`. These two functions have different use cases. The former aims to solely downcast `IntegerNullable` and...

Per [this](https://github.com/alteryx/evalml/actions/runs/3024888320) Woodwork/EvalML main job run, it looks like we are raising errors related to inconsistent dtypes. Given the timing, it might be related to numpy being bumped up in...

bug

### Pull Request Description (replace this text with your description) ----- *After creating the pull request: in order to pass the **release_notes_updated** check you will need to update the "Future...