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About the Features of Model #1

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xiandong79 opened this issue Jun 25, 2017 · 0 comments
Open

About the Features of Model #1

xiandong79 opened this issue Jun 25, 2017 · 0 comments

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@xiandong79
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xiandong79 commented Jun 25, 2017

In Ernest paper, it seems that it uses [machine, scale] to generate [feature array].
In experiment design, it seems that it uses [machine, scale] to generate [feature array] and selects the 'best information' training points.
In prediction step, however, it uses [cores, scale] to generate the [feature array] and fits the final time/machine model.

Sorry to bother you guys. @shivaram

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