EMTrainE Method

public virtual bool TrainE(
	InputArray samples,
	InputArray means0,
	InputArray covs0 = null,
	InputArray weights0 = null,
	OutputArray logLikelihoods = null,
	OutputArray labels = null,
	OutputArray probs = null
)

Public Overridable Function TrainE ( 
	samples As InputArray,
	means0 As InputArray,
	Optional covs0 As InputArray = Nothing,
	Optional weights0 As InputArray = Nothing,
	Optional logLikelihoods As OutputArray = Nothing,
	Optional labels As OutputArray = Nothing,
	Optional probs As OutputArray = Nothing
) As Boolean

public:
virtual bool TrainE(
	InputArray^ samples, 
	InputArray^ means0, 
	InputArray^ covs0 = nullptr, 
	InputArray^ weights0 = nullptr, 
	OutputArray^ logLikelihoods = nullptr, 
	OutputArray^ labels = nullptr, 
	OutputArray^ probs = nullptr
)

abstract TrainE : 
        samples : InputArray * 
        means0 : InputArray * 
        ?covs0 : InputArray * 
        ?weights0 : InputArray * 
        ?logLikelihoods : OutputArray * 
        ?labels : OutputArray * 
        ?probs : OutputArray 
(* Defaults:
        let _covs0 = defaultArg covs0 null
        let _weights0 = defaultArg weights0 null
        let _logLikelihoods = defaultArg logLikelihoods null
        let _labels = defaultArg labels null
        let _probs = defaultArg probs null
*)
-> bool 
override TrainE : 
        samples : InputArray * 
        means0 : InputArray * 
        ?covs0 : InputArray * 
        ?weights0 : InputArray * 
        ?logLikelihoods : OutputArray * 
        ?labels : OutputArray * 
        ?probs : OutputArray 
(* Defaults:
        let _covs0 = defaultArg covs0 null
        let _weights0 = defaultArg weights0 null
        let _logLikelihoods = defaultArg logLikelihoods null
        let _labels = defaultArg labels null
        let _probs = defaultArg probs null
*)
-> bool 

function TrainE(samples, means0, covs0, weights0, logLikelihoods, labels, probs);