Sub:
feature_vector =,feature_vector . feature_vector
feature_space =,feature_space . feature_space
특징공학,feature_engineering w
feature_vector =,feature_vector . feature_vector
feature_space =,feature_space . feature_space
특징공학,feature_engineering w
(from Kwak slide - ml basics 였나? - p67)
Feature
Feature
– A set of variables believed to carry characterizing information about an object under consideration
• Feature vector– A collection of $\displaystyle d$ features, ordered in some meaningful way into a d-dimensional column vector, that represents the signature of the object to be identified
• Feature space– The d-dimensional space in which the feature vector lies
– A d-dimensional vector in a d-dimensional space constitutes a point in that space
ML에서의 뜻은 다음 참조.– A d-dimensional vector in a d-dimensional space constitutes a point in that space
https://developers.google.com/machine-learning/glossary?hl=ko#feature
즉 예측,prediction하기 위한 입력 변수.
이 밑으로 이어서 다음 단어에 대한 설명도 있음: feature_cross feature_engineering feature_extraction feature_set feature_spec feature_vector
즉 예측,prediction하기 위한 입력 변수.
이 밑으로 이어서 다음 단어에 대한 설명도 있음: feature_cross feature_engineering feature_extraction feature_set feature_spec feature_vector