Introduction AdaBoost classifier predictor AdaBoost classifier trainer AdaBoost regression predictor AdaBoost regression trainer Agglomerative clustering trainer Base supervised predictor Base supervised trainer Base unsupervised predictor Base unsupervised trainer BNB classifier predictor BNB classifier trainer Decision tree classifier predictor Decision tree classifier trainer Decision tree regressor predictor Decision tree regressor trainer Elastic-Net predictor ElasticNet trainer Extra-Trees classifier predictor Extra-Trees classifier trainer Extra-Trees regressor predictor Extra-Trees regressor trainer Gaussian mixture trainer Gaussian process classifier predictor Gaussian process classifier trainer Gaussian process regressor predictor Gaussian process regressor trainer GNB classifier trainer GNB predictor Gradient-Boosting classifier predictor Gradient-Boosting classifier trainer Gradient-Boosting regressor predictor Gradient-Boosting regressor trainer ICA trainer Kernel-Ridge predictor Kernel-Ridge trainer KMeans predictor KMeans trainer KNN classifier predictor KNN classifier trainer KNN regressor predictor KNN regressor trainer Lasso predictor Lasso trainer LDA predictor LDA trainer Linear regression predictor Linear regression trainer LLE trainer LMETrainer Logistic regression predictor Logistic regression trainer MNB classifier predictor MNB trainer PCA trainer PCoA trainer PLS regression predictor PLS regression trainer PLSDA predictor PLSDA trainer QDA predictor QDA trainer Random-Forest classifier predictor Random-Forest classifier trainer Random-Forest regression predictor Random-Forest regressor trainer Ridge classifier predictor Ridge classifier trainer Ridge regression predictor Ridge regression trainer SGD classifier predictor SGD classifier trainer SGD regressor predictor SGD regressor trainer SVC predictor SVC trainer SVC trainer SVR predictor
Technical Documentation
Resources
Tasks
Protocols
AdaBoost classifier predictor
Predict table labels using a trained AdaBoost classifier model
Predictor of a trained AdaBoost classifier. This process predicts classes for a table. The predicted class of an input sample is computed as the weighted mean prediction of the classifiers in the ensemble.
See https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostClassifier.html for more details