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feature-engineering

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featuretools
gsheni
gsheni commented May 27, 2021
  • As a user of Featuretools, I wish there was a utility function in Featuretools, which given an EntitySet, which provide me with a list of valid/applicable primitives.
  • For an EntitySet with a single DataFrame, this should be possible by looking at the typing information
def get_valid_primitives(entityset, target_entity, max_depth=2, selected_primitives=None):
    """
       
jparthasarthy
jparthasarthy commented Jun 7, 2021

If you happen to name a FeatureView the same name, you'll get:

$ feast apply
Registered entity user_id
Registered feature view user_account_features
Registered feature view user_account_features
Registered feature view user_transaction_count_7d
Deploying infrastructure for user_account_features
Deploying infrastructure for user_account_features
Deploying infrastructure for user_transa

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
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