$classifier (defined in Phpml\Classification\Ensemble\Bagging) | Phpml\Classification\Ensemble\Bagging | protected |
$classifierOptions (defined in Phpml\Classification\Ensemble\Bagging) | Phpml\Classification\Ensemble\Bagging | protected |
$classifiers (defined in Phpml\Classification\Ensemble\Bagging) | Phpml\Classification\Ensemble\Bagging | protected |
$featureCount (defined in Phpml\Classification\Ensemble\Bagging) | Phpml\Classification\Ensemble\Bagging | protected |
$numClassifier (defined in Phpml\Classification\Ensemble\Bagging) | Phpml\Classification\Ensemble\Bagging | protected |
$numSamples (defined in Phpml\Classification\Ensemble\Bagging) | Phpml\Classification\Ensemble\Bagging | protected |
$subsetRatio (defined in Phpml\Classification\Ensemble\Bagging) | Phpml\Classification\Ensemble\Bagging | protected |
__construct(int $numClassifier=50) | Phpml\Classification\Ensemble\Bagging | |
getRandomSubset(int $index) (defined in Phpml\Classification\Ensemble\Bagging) | Phpml\Classification\Ensemble\Bagging | protected |
initClassifiers() (defined in Phpml\Classification\Ensemble\Bagging) | Phpml\Classification\Ensemble\Bagging | protected |
initSingleClassifier(Classifier $classifier) (defined in Phpml\Classification\Ensemble\Bagging) | Phpml\Classification\Ensemble\Bagging | protected |
predict(array $samples) (defined in Phpml\Estimator) | Phpml\Estimator | |
predictSample(array $sample) | Phpml\Classification\Ensemble\Bagging | protected |
setClassifer(string $classifier, array $classifierOptions=[]) | Phpml\Classification\Ensemble\Bagging | |
setSubsetRatio(float $ratio) | Phpml\Classification\Ensemble\Bagging | |
train(array $samples, array $targets) (defined in Phpml\Classification\Ensemble\Bagging) | Phpml\Classification\Ensemble\Bagging | |