chukarsten

ENH: numpy.unique() should support pandas.NA

2

### Proposed new feature or change: With the new Int64, boolan and Float64 dtypes coming out from pandas, it would be nice if numpy's unique() function supported pandas.NA. ``` >>>...

Adding unnamed DataFrames to EntitySets (and have Featuretools generate a name for df)

3

### Adding unnamed DataFrames to EntitySets ----- #### Bug/Feature Request Description Currently, in EvalML's [DFSTransformer](https://github.com/alteryx/evalml/blob/main/evalml/pipelines/components/transformers/preprocessing/featuretools.py), we run into issues with un-named dataframes being passed to the DFSTransfomer's .fit() method. Calling...

Release v0.56.0

1

# v0.56.0 Aug. 10, 2022 ### Enhancements - Updated to run with Woodwork >= 0.17.2 #3626 - Add ``exclude_featurizers`` parameter to ``AutoMLSearch`` to specify featurizers that should be excluded from...

The mentioned PR resulted in many Dask and concurrent futures related tests starting to flake. To keep up development, we marked many of the flaky tests with xfail. These tests...

Extract Parallel Tests into Separate Github CI Action

2

As an EvalML dev, I would like parallel CI tests to be put into a separate Github Action CI check so that development can carry on if they prove flaky....

In https://github.com/alteryx/evalml/pull/3626 and the much older https://github.com/alteryx/evalml/pull/2181, we've shown that EvalML is very sensitive to changes in Woodwork inference. This was a mistake in how we've written our tests and...

Filed this [issue](https://github.com/numpy/numpy/issues/22101) against Numpy to support pandas.NA. _Originally posted by @jeremyliweishih in https://github.com/alteryx/evalml/pull/3626#discussion_r940293525_

do we have an issue filed to track this? _Originally posted by @jeremyliweishih in https://github.com/alteryx/evalml/pull/3626#discussion_r940312938_

Fix the Time Series Docs

1

[They](https://evalml.alteryx.com/en/stable/user_guide/timeseries.html) look a hot mess. We need to handle all these warnings and clean it up.

Detrender Base Class & PolynomialDetrender Modifications

1

Adding the abstract, base Detrender class and made the PolynomialDetrender inherit from it. Also enhanced the PolynomialDetrender with a new `get_trend_df()` function to decompose the target signal into trend, seasonality...