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This is the complete list of members for TrainExamples, including all inherited members.
adaboost() | TrainExamples | |
ascendingFeatures | TrainExamples | |
bestStump() | TrainExamples | private |
calcEmpiricalError(vector< stumpRule > const *cascade, VectorXf &tweaks, int layerCount, float &falsePositive, float &detectionRate, bool hasReturn) | TrainExamples | |
committee | TrainExamples | |
decisionStump(int featureIndex, stumpRule &best) | TrainExamples | private |
exponentialRisk | TrainExamples | |
featureCount | TrainExamples | |
getExampleFeature(int featureIndex, int iterator) | TrainExamples | inlineprivate |
getExampleIndex(int featureIndex, int iterator) | TrainExamples | inlineprivate |
initialPositiveWeight | TrainExamples | |
inTrain | TrainExamples | |
labels | TrainExamples | |
maxWeight | TrainExamples | |
minWeight | TrainExamples | |
myStumpOrder(const stumpRule &one, const stumpRule &other) | TrainExamples | private |
negativeImagePaths | TrainExamples | |
negativeTotalWeight | TrainExamples | |
nNegatives | TrainExamples | |
nPositives | TrainExamples | |
positiveTotalWeight | TrainExamples | |
predictLabel(float thresholdTweak, RowVectorXi &prediction, bool onlyMostRecent) | TrainExamples | private |
sampleCount | TrainExamples | |
sampleNegatives(int patchSize, vector< stumpRule > *cascade, VectorXf &tweaks, int layerCount, const char *negativeExamples, VectorXi *blackList) | TrainExamples | private |
TrainExamples(const char *positivePaths, long double positiveWeight, const char *negativePaths, const char *negativeImages, int numberNegatives, vector< stumpRule > *cascade, VectorXf &tweaks, int layerCount, VectorXi *blackList, const char *toFile, bool trainMode, bool allInMemory) | TrainExamples | |
validationExamples | TrainExamples | |
weights | TrainExamples | |
~TrainExamples() | TrainExamples |