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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):
    """
       
achals
achals commented May 28, 2021

Expected Behavior

When specifying an invalid table, feast should surface an error that explicitly states this.

Current Behavior

We currently get an error that implies that the schema cannot be parsed.

$ feast apply
Traceback (most recent call last):
  File "/Users/achal/tecton/feast/.direnv/python-3.7.10/bin/feast", line 33, in <module>
    sys.exit(load_entry_point('f

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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