How to combine features with different temporal scale in machine learning
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We have various types of data features with different temporal scale. For example, some of them describe the state per second while others may describe the state per day or per month from another aspect. The former features are dense on the time scale and latter features are sparse. Simply concatenate them into one feature vector seems not proper. Is there any typical method in machine learning can handle with problem ?
machine-learning feature-selection feature-engineering
asked 5 mins ago
JunjieChenJunjieChen
534
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add a comment |
$begingroup$
We have various types of data features with different temporal scale. For example, some of them describe the state per second while others may describe the state per day or per month from another aspect. The former features are dense on the time scale and latter features are sparse. Simply concatenate them into one feature vector seems not proper. Is there any typical method in machine learning can handle with problem ?
machine-learning feature-selection feature-engineering
asked 5 mins ago
JunjieChenJunjieChen
534
$endgroup$
add a comment |
$begingroup$
We have various types of data features with different temporal scale. For example, some of them describe the state per second while others may describe the state per day or per month from another aspect. The former features are dense on the time scale and latter features are sparse. Simply concatenate them into one feature vector seems not proper. Is there any typical method in machine learning can handle with problem ?
machine-learning feature-selection feature-engineering
asked 5 mins ago
JunjieChenJunjieChen
534
$endgroup$
We have various types of data features with different temporal scale. For example, some of them describe the state per second while others may describe the state per day or per month from another aspect. The former features are dense on the time scale and latter features are sparse. Simply concatenate them into one feature vector seems not proper. Is there any typical method in machine learning can handle with problem ?
machine-learning feature-selection feature-engineering
machine-learning feature-selection feature-engineering
asked 5 mins ago
JunjieChenJunjieChen
534
asked 5 mins ago
JunjieChenJunjieChen
534
asked 5 mins ago
JunjieChenJunjieChen
534
asked 5 mins ago
JunjieChenJunjieChen
534
asked 5 mins ago
JunjieChenJunjieChen
534
534
add a comment |
add a comment |
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