Train a MED Gaussian mixture classifier given a MedmixLearner object, training examples and labels, and a list of options. The returned trained classifier can be used to predict labels for test examples.
learned = train(medmixObj, gramObj, labelsObj, optList)
medmixObj | - | MedmixLearner object |
gramObj | - | training Gram object. Can include test data in last rows/cols for transductive applications. |
labelsObj | - | training Labels object. Must contain corresponding train labels only. |
optList | - | list of NAME,VALUE option pairs |
optList:
'Seed' | - | value for random number generator seed. Use [] for clock. (default=unchanged) |
'Missing' | - | struct of missing data entries (default=[]) |