fixed #2159
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@ -105,7 +105,7 @@ bool EM::trainE(InputArray samples,
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Mat means0 = _means0.getMat(), weights0 = _weights0.getMat();
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Mat means0 = _means0.getMat(), weights0 = _weights0.getMat();
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setTrainData(START_E_STEP, samplesMat, 0, !_means0.empty() ? &means0 : 0,
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setTrainData(START_E_STEP, samplesMat, 0, !_means0.empty() ? &means0 : 0,
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!_covs0.empty() ? &covs0 : 0, _weights0.empty() ? &weights0 : 0);
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!_covs0.empty() ? &covs0 : 0, !_weights0.empty() ? &weights0 : 0);
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return doTrain(START_E_STEP, logLikelihoods, labels, probs);
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return doTrain(START_E_STEP, logLikelihoods, labels, probs);
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}
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}
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