Class | Description |
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LinearRegression |
This example implements a basic Linear Regression to solve the y = theta0 + theta1*x problem using batch gradient descent algorithm.
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LinearRegression.Data |
A simple data sample, x means the input, and y means the target.
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LinearRegression.Params |
A set of parameters -- theta0, theta1.
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LinearRegression.SubUpdate |
Compute a single BGD type update for every parameters.
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LinearRegression.Update |
Compute the final update by average them.
|
LinearRegression.UpdateAccumulator |
Accumulator all the update.
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