evalml

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### Pull Request Description Better use of guidelines and clarity using doctrings

4rva

In the evalml/preprocessing/data_splitters/time_series_split.py file, the time it takes for larger datasets (in multiple gigabytes or more than 500 features) is too complicatedly high which can be optimized. Asking for the...

aadi1011

As a user I would like to install evalML on Python 3.11.

joreshgithub

Automated Latest Dependency Updates

1

This is an auto-generated PR with **latest** dependency updates.

machineFL

Add documentation in EvalML to promote using Featuretools before EvalML and show how it will be used as part of the AutoML algorithm

3

This issue tracks adding documentation on using featuretools before EvalML and explain how FeatureTools is used within EvalML as part of the AutoML algorithm. This should be done at the...

jeremyliweishih

Refactor: Move _set_index into Decomposer base and update subclasses …

1

…(fixes #3599) ### 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...

raghulchandramouli

This is an auto-generated PR with **latest** dependency updates.

machineFL

allowed_model_families is not enforced

2

I want evalml to only create XGBOOST models in the allotted time, but both baseline and Random Forest models are also generated. My hyperparameters and my setup are: #### Code...

iXanthos

Remove kaleido from mandatory dependencies

2

Commented out the kaleido dependency in `pyproject.toml`. This change reduces the default dependency footprint, potentially easing installation for users who do not require kaleido. ### Pull Request Description Commented out...

DanielAvdar

``` !pip uninstall pandas -y !pip uninstall xarray -y !pip install pandas==2.2.2 !pip install scikit-learn>=1.5 !pip install xarray==2023.1.0 ! pip install evalml ``` ### Expected Behavior **EvalML should document compatible...

jarif87