bgt_cmp_hue: Minor corrections
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@ -41,7 +41,7 @@ def main(args):
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lmdk_lib.plot_init()
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lmdk_lib.plot_init()
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# The x axis
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# The x axis
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plt.xticks(x_i, np.array(lmdks_pct, int))
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plt.xticks(x_i, np.array(lmdks_pct, int))
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plt.xlabel('Landmarks percentage') # Set x axis label.
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plt.xlabel('Landmarks (%)') # Set x axis label.
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plt.xlim(x_i.min() - x_margin, x_i.max() + x_margin)
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plt.xlim(x_i.min() - x_margin, x_i.max() + x_margin)
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# The y axis
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# The y axis
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plt.ylabel('Mean absolute error (kWh)') # Set y axis label.
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plt.ylabel('Mean absolute error (kWh)') # Set y axis label.
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@ -68,20 +68,18 @@ def main(args):
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# Uniform
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# Uniform
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rls_data_u, bgts_u = lmdk_bgt.uniform_cons(seq, lmdks, epsilon)
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rls_data_u, bgts_u = lmdk_bgt.uniform_cons(seq, lmdks, epsilon)
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# lmdk_bgt.validate_bgts(seq, lmdks, epsilon, bgts_u)
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mae_u[i] += lmdk_bgt.mae_cons(seq, rls_data_u)/args.iter
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mae_u[i] += lmdk_bgt.mae_cons(seq, rls_data_u)/args.iter
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# Adaptive
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# Adaptive
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rls_data_a, _, _ = lmdk_bgt.adaptive_cons(seq, lmdks, epsilon, .5, .5)
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rls_data_a, _, _ = lmdk_bgt.adaptive_cons(seq, lmdks, epsilon, .5, .5)
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mae_a[i] += lmdk_bgt.mae_cons(seq, rls_data_a)/args.iter
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mae_a[i] += lmdk_bgt.mae_cons(seq, rls_data_a)/args.iter
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# Event
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# Calculate once
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# Calculate once
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# Event
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if i == 0:
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if i == 0:
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rls_data_evt, _ = lmdk_bgt.uniform_cons(seq, seq[seq[:, 1] < lmdks_th[0]], epsilon)
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rls_data_evt, _ = lmdk_bgt.uniform_cons(seq, seq[seq[:, 1] < lmdks_th[0]], epsilon)
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mae_evt += lmdk_bgt.mae_cons(seq, rls_data_evt)/args.iter
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mae_evt += lmdk_bgt.mae_cons(seq, rls_data_evt)/args.iter
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# User
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# User
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# Calculate once
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if i == 0:
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if i == 0:
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rls_data_usr, _ = lmdk_bgt.uniform_cons(seq, seq[seq[:, 1] < lmdks_th[len(lmdks_th)-1]], epsilon)
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rls_data_usr, _ = lmdk_bgt.uniform_cons(seq, seq[seq[:, 1] < lmdks_th[len(lmdks_th)-1]], epsilon)
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mae_usr += lmdk_bgt.mae_cons(seq, rls_data_usr)/args.iter
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mae_usr += lmdk_bgt.mae_cons(seq, rls_data_usr)/args.iter
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