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feature-engineering

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nni
achals
achals commented Jul 7, 2021

Expected Behavior

When an entity is removed from the feature repo, it should be removed from the feature registry.

Current Behavior

Entities are only added, never removed from the Registry. This is a storage leak of sorts.

Steps to reproduce

  • feast init
  • In the new feature repo, feast apply
  • Add a new entity in the feature repo. feast apply.
  • Remove the new en
imotai
imotai commented Jul 6, 2021

Is your feature request related to a problem? Please describe.
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evalml
angela97lin
angela97lin commented Jul 15, 2021

I currently get the following DeprecationWarning with XGBoost==1.4.2:

  The use of label encoder in XGBClassifier is deprecated and will be removed in a future release. To remove this warning, do the following: 1) Pass option use_label_encoder=False when constructing XGBClassifier object; and 2) Encode your labels (y) as integers starting with 0, i.e. 0, 1, 2, ..., [num_class - 1].

Sin

Hyperactive

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
  • Updated Nov 29, 2020
  • Jupyter Notebook

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