code: Several fixes
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@ -71,13 +71,11 @@ def main(args):
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lmdks_sel, eps_out = lmdk_sel.find_lmdks(seq, lmdks, epsilon)
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# Skip
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rls_data_s, bgts_s = lmdk_bgt.skip_cont(seq, lmdks_sel, eps_out)
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# lmdk_bgt.validate_bgts(seq, lmdks, epsilon, bgts_s)
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rls_data_s, _ = lmdk_bgt.skip_cont(seq, lmdks_sel, eps_out)
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mae_s[i] += (lmdk_bgt.mae_cont(rls_data_s)/args.iter)*100
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# Uniform
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rls_data_u, bgts_u = lmdk_bgt.uniform_cont(seq, lmdks_sel, eps_out)
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# lmdk_bgt.validate_bgts(seq, lmdks, epsilon, bgts_u)
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rls_data_u, _ = lmdk_bgt.uniform_cont(seq, lmdks_sel, eps_out)
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mae_u[i] += (lmdk_bgt.mae_cont(rls_data_u)/args.iter)*100
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# Adaptive
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@ -64,19 +64,18 @@ def main(args):
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for _ in range(args.iter):
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lmdks, eps_out = lmdk_sel.find_lmdks(seq, lmdks, epsilon)
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lmdks_sel, eps_out = lmdk_sel.find_lmdks(seq, lmdks, epsilon)
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# Skip
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rls_data_s, bgts_s = lmdk_bgt.skip_cons(seq, lmdks, eps_out)
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# lmdk_bgt.validate_bgts(seq, lmdks, epsilon, bgts_s)
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rls_data_s, _ = lmdk_bgt.skip_cons(seq, lmdks_sel, eps_out)
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mae_s[i] += lmdk_bgt.mae_cons(seq, rls_data_s)/args.iter
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# Uniform
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rls_data_u, bgts_u = lmdk_bgt.uniform_cons(seq, lmdks, eps_out)
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rls_data_u, _ = lmdk_bgt.uniform_cons(seq, lmdks_sel, eps_out)
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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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rls_data_a, _, _ = lmdk_bgt.adaptive_cons(seq, lmdks, eps_out, .5, .5)
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rls_data_a, _, _ = lmdk_bgt.adaptive_cons(seq, lmdks_sel, eps_out, .5, .5)
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mae_a[i] += lmdk_bgt.mae_cons(seq, rls_data_a)/args.iter
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# Calculate once
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@ -57,8 +57,6 @@ def main(args):
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print('(%d/%d) %s... ' %(d_i + 1, len(dist_type), title), end='', flush=True)
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mae = np.zeros(len(lmdk_n))
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for n_i, n in enumerate(lmdk_n):
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if n == lmdk_n[-1]:
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break
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for r in range(args.iter):
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lmdks = lmdk_lib.get_lmdks(seq, n, d)
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hist, h = lmdk_lib.get_hist(seq, lmdks)
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@ -67,20 +65,11 @@ def main(args):
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res, _ = exp_mech.exponential(hist, opts, exp_mech.score, delta, epsilon)
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mae[n_i] += lmdk_lib.get_norm(hist, res)/args.iter # Euclidean
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# mae[n_i] += lmdk_lib.get_emd(hist, res)/args.iter # Wasserstein
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mae = mae/21 # Euclidean
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# mae = mae/11.75 # Wasserstein
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# Rescaling (min-max normalization)
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# https://en.wikipedia.org/wiki/Feature_scaling#Rescaling_(min-max_normalization)
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mae = (mae - mae.min())/(mae.max() - mae.min())
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print('[OK]', flush=True)
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# # Plot bar for current distribution
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# plt.bar(
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# x_i + x_offset,
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# mae,
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# bar_width,
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# label=label,
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# linewidth=lmdk_lib.line_width
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# )
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# # Change offset for next bar
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# x_offset += bar_width
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# Plot line
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# Plot bar for current distribution
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plt.plot(
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x_i,
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mae,
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@ -87,18 +87,18 @@ def main(args):
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for bgt in bgt_conf:
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for _ in range(args.iter):
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lmdks, eps_out = lmdk_sel.find_lmdks(seq, lmdks, bgt['epsilon'])
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lmdks_sel, eps_out = lmdk_sel.find_lmdks(seq, lmdks, bgt['epsilon'])
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# Skip
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rls_data_s, _ = lmdk_bgt.skip(seq, lmdks, eps_out)
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rls_data_s, _ = lmdk_bgt.skip(seq, lmdks_sel, eps_out)
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mae_s[i] += lmdk_bgt.mae(seq, rls_data_s)/args.iter
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# Uniform
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rls_data_u, _ = lmdk_bgt.uniform_r(seq, lmdks, eps_out)
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rls_data_u, _ = lmdk_bgt.uniform_r(seq, lmdks_sel, eps_out)
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mae_u[i] += lmdk_bgt.mae(seq, rls_data_u)/args.iter
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# Adaptive
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rls_data_a, _, _ = lmdk_bgt.adaptive(seq, lmdks, eps_out, .5, .5)
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rls_data_a, _, _ = lmdk_bgt.adaptive(seq, lmdks_sel, eps_out, .5, .5)
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mae_a[i] += lmdk_bgt.mae(seq, rls_data_a)/args.iter
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# Calculate once
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