Contains the main training parameters of classifiers and numerical predictors. More...
Data Fields | |
TFeatureMap | FeatureMap |
double | Lambda |
Ridge regression regularization constant used during training. | |
double | Offset |
Intercept for weight vectors. Currently always set to zero. | |
TClassifierUsage | Usage |
Contains the main training parameters of classifiers and numerical predictors.
Similar to the TFeatureMap structure, the values of the TTrainParams
structure are defined at training time, i.e. when the classifier is generated, through the parameters passed to the function that generates the classifier (e.g. PMTrainClassifierFromSil, PMTrainClassifierFromMts, PMTrainSearchClassifierFromSil or PMTrainSearchClassifierFromMts). Therefore the TFeatureMap can only be extracted for an existing classifier (PMGetClfTrainParams or PMGetSearchClfTrainParams).
TFeatureMap FeatureMap |
Feature extraction parameters. See the description of TFeatureMap for details.
TClassifierUsage Usage |
Controls the way the classifier may be used. See the description of TClassifierUsage for details.