Constructor for the RidgeWightedReg Object which uses *weighted* ridge regression to correlate click and mouse movement to eye patch features
The weighting essentially provides a scheduled falloff in influence for mouse movements. This means that mouse moevemnts will only count towards the prediction for a short period of time, unlike unweighted ridge regression where all mouse movements are treated equally.
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Methods
addData(eyes, screenPos, type)
adds data to the regression model
Parameters:
| Name | Type | Description |
|---|---|---|
eyes |
object | util.eyes Object containing left and right data |
screenPos |
array | the screen [x,y] position when a training event happens |
type |
string | the type of event |
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getData() → {Array.<Object>}
gets the training data stored in this regression model, *this is not the model itself, but merely its training data*
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Returns:
the set of training data stored in this regression class
- Type
- Array.<Object>
predict(eyesObj) → {Object|integer|integer}
gets a prediction based on the current set of training data
Parameters:
| Name | Type | Description |
|---|---|---|
eyesObj |
object | util.eyes Object |
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Returns:
-
prediction - Object containing the prediction data
- Type
- Object
-
prediction.x - the x screen coordinate predicted
- Type
- integer
-
prediction.y - the y screen coordinate predicted
- Type
- integer
setData()
seeds the model with initial training data in case data is stored in a separate location
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