| Package | Description |
|---|---|
| jsat.parameters | |
| jsat.regression | |
| jsat.regression.evaluation |
| Class and Description |
|---|
| RegressionScore
This interface defines the contract for evaluating or "scoring" the results
on a regression problem.
|
| Class and Description |
|---|
| RegressionScore
This interface defines the contract for evaluating or "scoring" the results
on a regression problem.
|
| Class and Description |
|---|
| CoefficientOfDetermination
Uses the Coefficient of Determination, also known as R2, is an
evaluation score in [0,1].
|
| MeanAbsoluteError
Uses the Mean of Absolute Errors between the predictions and the true values.
|
| MeanSquaredError
Uses the Mean of the Squared Errors between the predictions and the true
values.
|
| RegressionScore
This interface defines the contract for evaluating or "scoring" the results
on a regression problem.
|
| RelativeAbsoluteError
Uses the Sum of Absolute Errors divided by the sum of the absolute value of
the true values subtracted from their mean.
|
| RelativeSquaredError
Uses the Sum of Squared Errors divided by the sum of the squared true values
subtracted from their mean.
|
| TotalHistoryRegressionScore
This abstract class provides the work for maintaining the history of
predictions and their true values.
|
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