Ml Functions
classify
Returns a label predicted by the given classifier SVM model.
Supported Signatures
function classify(map<bigint, double>, classifier) returns bigint
features
Returns the map representing the feature vector.
Supported Signatures
function features(double) returns map<bigint, double>
function features(double, double) returns map<bigint, double>
function features(double, double, double) returns map<bigint, double>
function features(double, double, double, double) returns map<bigint, double>
function features(double, double, double, double, double) returns map<bigint, double>
function features(double, double, double, double, double, double) returns map<bigint, double>
function features(double, double, double, double, double, double, double) returns map<bigint, double>
function features(double, double, double, double, double, double, double, double) returns map<bigint, double>
function features(double, double, double, double, double, double, double, double, double) returns map<bigint, double>
function features(double, double, double, double, double, double, double, double, double, double) returns map<bigint, double>
learn_classifier
Returns an SVM-based classifier model, trained with the given label and feature data sets.
Supported Signatures
function learn_classifier(bigint, map<bigint, double>) returns classifier
function learn_classifier(double, map<bigint, double>) returns classifier
function learn_classifier(varchar, map<bigint, double>) returns classifier
learn_libsvm_classifier
Returns an SVM-based classifier model, trained with the given label and feature data sets. You can control the training process by libsvm parameters.
Supported Signatures
function learn_libsvm_classifier(bigint, map<bigint, double>, varchar) returns classifier
function learn_libsvm_classifier(double, map<bigint, double>, varchar) returns classifier
function learn_libsvm_classifier(varchar, map<bigint, double>, varchar) returns classifier
learn_libsvm_regressor
Returns an SVM-based regressor model, trained with the given target and feature data sets. You can control the training process by libsvm parameters.
Supported Signatures
function learn_libsvm_regressor(bigint, map<bigint, double>, varchar) returns regressor
function learn_libsvm_regressor(double, map<bigint, double>, varchar) returns regressor
learn_regressor
Returns an SVM-based regressor model, trained with the given target and feature data sets.
Supported Signatures
function learn_regressor(bigint, map<bigint, double>) returns regressor
function learn_regressor(double, map<bigint, double>) returns regressor
regress
Returns a predicted target value by the given regressor SVM model.
Supported Signatures
function regress(map<bigint, double>, regressor) returns double