evalml
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alteryx
EvalML is an AutoML library written in python.
Currently `visualize_decision_tree` supports only Decision Trees. We can expand the functionality to include support for Pipelines (so that the associated estimator can be taken and visualized) and for Random Forests....
Delete `search_iterative()`.
#### Code Sample, a copy-pastable example to reproduce your bug. ```python import pandas as pd from evalml.pipelines.components import ExponentialSmoothingRegressor from evalml.preprocessing import split_data X = pd.read_csv("/Users/freddy.boulton/Downloads/yahoo_stock.csv") y = X.pop("Close") X...
This issue covers any necessary API updates, as well as documentation changes.
### 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...
As a user of EvalML for time series problems, I expect to be able to configure a set of lags all time series pipeline should compute. This would let me...
Separating out work from https://github.com/alteryx/evalml/issues/2058, https://github.com/alteryx/evalml/pull/2968 tackled the first half of creating a preprocessing pipeline that will encompass all of the components created from data check actions. This issue will...
In @bchen1116 's recent analysis of our ensembling algorithm, it's come to light that we spend a lot of time copying data. I've noticed throughout the code a lot of...
Follow up on https://github.com/alteryx/evalml/pull/3182 based on @freddyaboulton's comment: I think we can improve this implementation. Right now we do two scans of the data to determine the highly null columns...
It could be useful to add feature distribution (via histogram?) to our partial dependence plots so users can determine whether there is sufficient data to interpret the relationship between the...