Ml Functions

`classify`

Returns a label predicted by the given classifier SVM model. Supported Signatures

function classify(map<bigint, double>, classifier) returns bigint

🔗 Official Documentation

`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>

🔗 Official Documentation

`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

🔗 Official Documentation

`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

🔗 Official Documentation

`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

🔗 Official Documentation

`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

🔗 Official Documentation

`regress`

Returns a predicted target value by the given regressor SVM model. Supported Signatures

function regress(map<bigint, double>, regressor) returns double

🔗 Official Documentation

Reference

SQL Functions

Ml Functions

`classify`

`features`

`learn_classifier`

`learn_libsvm_classifier`

`learn_libsvm_regressor`

`learn_regressor`

`regress`

​classify

​features

​learn_classifier

​learn_libsvm_classifier

​learn_libsvm_regressor

​learn_regressor

​regress

`classify`

`features`

`learn_classifier`

`learn_libsvm_classifier`

`learn_libsvm_regressor`

`learn_regressor`

`regress`