Open shuijian-xu opened 5 years ago
Regression is a technique used to train an ML model using labeled data to predict a continuous variable, given an input vector. Depending on the complexity of the problem, you can use many regression techniques.
linear regression?
Linear regression applications learn to model in the form Y = AX + B, where Y is the output, X is the input, and A and B are the coefficients.
You can use linear regression when the output is linear with the output. One such example would be to predict the time to transfer a file of a given size, or to predict the time an object will take to travel a certain distance, given a set of past observations.
Regression is a technique used to train an ML model using labeled data to predict a continuous variable, given an input vector. Depending on the complexity of the problem, you can use many regression techniques.