📚 node [[feature_column_(tf feature_column)]]
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garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Feature_Column_(Tf.Feature_Column).md by @KGBicheno
Feature column (tf.feature_column)
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A function that specifies how a model should interpret a particular feature. A list that collects the output returned by calls to such functions is a required parameter to all Estimators constructors.
The tf.feature_column functions enable models to easily experiment with different representations of input features. For details, see the Feature Columns chapter in the TensorFlow Programmers Guide.
"Feature column" is Google-specific terminology. A feature column is referred to as a "namespace" in the VW system (at Yahoo/Microsoft), or a field.
📖 stoas
- public document at doc.anagora.org/feature_column_(tf-feature_column)
- video call at meet.jit.si/feature_column_(tf-feature_column)
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