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@ -315,7 +315,7 @@ class KDEyMLauto2(KDEyML):
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return loss_accum
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bounds = [tuple((0, 1))]
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bounds = [tuple((0.0001, np.log10(0.2)))]
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init_bandwidth = 0.1
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r = optimize.minimize(neg_loglikelihood_band_, x0=[init_bandwidth], method='SLSQP', bounds=bounds)
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best_band = r.x[0]
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