code: Compare sel with original
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d0dcc654ba
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2481a751ae
@ -57,8 +57,11 @@ def main(args):
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x_offset = -(bar_width/2)*(n - 1)
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mae_u = np.zeros(len(lmdks_pct))
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mae_u_sel= np.zeros(len(lmdks_pct))
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mae_s = np.zeros(len(lmdks_pct))
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mae_s_sel = np.zeros(len(lmdks_pct))
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mae_a = np.zeros(len(lmdks_pct))
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mae_a_sel = np.zeros(len(lmdks_pct))
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mae_evt = 0
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mae_usr = 0
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@ -71,16 +74,22 @@ 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, _ = lmdk_bgt.skip_cont(seq, lmdks_sel, eps_out)
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rls_data_s, _ = lmdk_bgt.skip_cont(seq, lmdks, eps_out)
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mae_s[i] += (lmdk_bgt.mae_cont(rls_data_s)/args.iter)*100
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rls_data_s_sel, _ = lmdk_bgt.skip_cont(seq, lmdks_sel, eps_out)
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mae_s_sel[i] += (lmdk_bgt.mae_cont(rls_data_s_sel)/args.iter)*100
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# Uniform
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rls_data_u, _ = lmdk_bgt.uniform_cont(seq, lmdks_sel, eps_out)
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rls_data_u, _ = lmdk_bgt.uniform_cont(seq, lmdks, eps_out)
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mae_u[i] += (lmdk_bgt.mae_cont(rls_data_u)/args.iter)*100
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rls_data_u_sel, _ = lmdk_bgt.uniform_cont(seq, lmdks_sel, eps_out)
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mae_u_sel[i] += (lmdk_bgt.mae_cont(rls_data_u_sel)/args.iter)*100
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# Adaptive
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rls_data_a, _, _ = lmdk_bgt.adaptive_cont(seq, lmdks_sel, eps_out, .5, .5)
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rls_data_a, _, _ = lmdk_bgt.adaptive_cont(seq, lmdks, eps_out, .5, .5)
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mae_a[i] += (lmdk_bgt.mae_cont(rls_data_a)/args.iter)*100
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rls_data_a_sel, _, _ = lmdk_bgt.adaptive_cont(seq, lmdks_sel, eps_out, .5, .5)
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mae_a_sel[i] += (lmdk_bgt.mae_cont(rls_data_a_sel)/args.iter)*100
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# Calculate once
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if pct == lmdks_pct[0]:
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@ -106,29 +115,57 @@ def main(args):
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)
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plt.text(x_i[-1] + x_i[-1]*.14, mae_usr - mae_usr*.05, 'user')
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# Plot bars
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plt.bar(
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x_i + x_offset,
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mae_s,
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mae_s_sel,
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bar_width,
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label='Skip',
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linewidth=lmdk_lib.line_width
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)
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x_offset += bar_width
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plt.bar(
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x_i + x_offset,
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mae_u,
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mae_s,
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bar_width,
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label='Uniform',
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color='none',
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linestyle='dashed',
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edgecolor='#bdbdbd',
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linewidth=lmdk_lib.line_width
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)
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x_offset += bar_width
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plt.bar(
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x_i + x_offset,
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mae_a,
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mae_u_sel,
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bar_width,
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label='Uniform',
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linewidth=lmdk_lib.line_width
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)
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plt.bar(
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x_i + x_offset,
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mae_u,
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bar_width,
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color='none',
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linestyle='dashed',
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edgecolor='#bdbdbd',
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linewidth=lmdk_lib.line_width
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)
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x_offset += bar_width
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plt.bar(
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x_i + x_offset,
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mae_a_sel,
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bar_width,
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label='Adaptive',
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linewidth=lmdk_lib.line_width
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)
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plt.bar(
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x_i + x_offset,
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mae_a,
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bar_width,
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color='none',
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linestyle='dashed',
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edgecolor='#bdbdbd',
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linewidth=lmdk_lib.line_width
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)
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x_offset += bar_width
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path = str('../../rslt/bgt_cmp/' + d)
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@ -137,7 +174,7 @@ def main(args):
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# # Show plot
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# plt.show()
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# Save plot
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lmdk_lib.save_plot(path + '-sel.pdf')
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lmdk_lib.save_plot(path + '-sel-cmp.pdf')
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print('[OK]', flush=True)
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@ -17,7 +17,6 @@ import time
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def main(args):
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res_file = '/home/manos/Cloud/Data/HUE/Results.zip'
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# User's consumption
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seq = lmdk_lib.load_data(args, 'cons')
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# The name of the dataset
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@ -53,8 +52,11 @@ def main(args):
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x_offset = -(bar_width/2)*(n - 1)
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mae_u = np.zeros(len(lmdks_pct))
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mae_u_sel= np.zeros(len(lmdks_pct))
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mae_s = np.zeros(len(lmdks_pct))
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mae_s_sel = np.zeros(len(lmdks_pct))
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mae_a = np.zeros(len(lmdks_pct))
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mae_a_sel = np.zeros(len(lmdks_pct))
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mae_evt = 0
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mae_usr = 0
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@ -67,16 +69,22 @@ 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, _ = 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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rls_data_s, _ = lmdk_bgt.skip_cons(seq, lmdks, eps_out)
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mae_s[i] += (lmdk_bgt.mae_cons(seq, rls_data_s)/args.iter)*100
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rls_data_s_sel, _ = lmdk_bgt.skip_cons(seq, lmdks_sel, eps_out)
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mae_s_sel[i] += (lmdk_bgt.mae_cons(seq, rls_data_s_sel)/args.iter)*100
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# Uniform
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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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rls_data_u, _ = lmdk_bgt.uniform_cons(seq, lmdks, eps_out)
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mae_u[i] += (lmdk_bgt.mae_cons(seq, rls_data_u)/args.iter)*100
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rls_data_u_sel, _ = lmdk_bgt.uniform_cons(seq, lmdks_sel, eps_out)
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mae_u_sel[i] += (lmdk_bgt.mae_cons(seq, rls_data_u_sel)/args.iter)*100
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# Adaptive
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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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rls_data_a, _, _ = lmdk_bgt.adaptive_cons(seq, lmdks, eps_out, .5, .5)
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mae_a[i] += (lmdk_bgt.mae_cons(seq, rls_data_a)/args.iter)*100
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rls_data_a_sel, _, _ = lmdk_bgt.adaptive_cons(seq, lmdks_sel, eps_out, .5, .5)
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mae_a_sel[i] += (lmdk_bgt.mae_cons(seq, rls_data_a_sel)/args.iter)*100
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# Calculate once
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if pct == lmdks_pct[0]:
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@ -102,29 +110,57 @@ def main(args):
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)
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plt.text(x_i[-1] + x_i[-1]*.14, mae_usr - mae_usr*.14, 'user')
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# Plot bars
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plt.bar(
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x_i + x_offset,
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mae_s,
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mae_s_sel,
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bar_width,
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label='Skip',
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linewidth=lmdk_lib.line_width
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)
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x_offset += bar_width
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plt.bar(
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x_i + x_offset,
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mae_u,
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mae_s,
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bar_width,
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label='Uniform',
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color='none',
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linestyle='dashed',
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edgecolor='#bdbdbd',
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linewidth=lmdk_lib.line_width
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)
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x_offset += bar_width
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plt.bar(
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x_i + x_offset,
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mae_a,
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mae_u_sel,
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bar_width,
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label='Uniform',
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linewidth=lmdk_lib.line_width
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)
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plt.bar(
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x_i + x_offset,
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mae_u,
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bar_width,
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color='none',
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linestyle='dashed',
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edgecolor='#bdbdbd',
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linewidth=lmdk_lib.line_width
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)
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x_offset += bar_width
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plt.bar(
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x_i + x_offset,
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mae_a_sel,
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bar_width,
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label='Adaptive',
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linewidth=lmdk_lib.line_width
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)
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plt.bar(
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x_i + x_offset,
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mae_a,
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bar_width,
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color='none',
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linestyle='dashed',
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edgecolor='#bdbdbd',
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linewidth=lmdk_lib.line_width
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)
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x_offset += bar_width
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path = str('../../rslt/bgt_cmp/' + d)
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@ -133,7 +169,7 @@ def main(args):
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# Show plot
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# plt.show()
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# Save plot
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lmdk_lib.save_plot(path + '-sel.pdf')
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lmdk_lib.save_plot(path + '-sel-cmp.pdf')
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print('[OK]', flush=True)
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@ -75,8 +75,11 @@ def main(args):
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x_offset = -(bar_width/2)*(n - 1)
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mae_u = np.zeros(len(data_info[d]['lmdks']))
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mae_u_sel= np.zeros(len(data_info[d]['lmdks']))
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mae_s = np.zeros(len(data_info[d]['lmdks']))
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mae_s_sel = np.zeros(len(data_info[d]['lmdks']))
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mae_a = np.zeros(len(data_info[d]['lmdks']))
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mae_a_sel = np.zeros(len(data_info[d]['lmdks']))
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mae_evt = 0
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mae_usr = 0
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for i, lmdk in enumerate(data_info[d]['lmdks']):
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@ -90,16 +93,22 @@ def main(args):
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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_sel, eps_out)
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mae_s[i] += lmdk_bgt.mae(seq, rls_data_s)/args.iter
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rls_data_s, _ = lmdk_bgt.skip(seq, lmdks, eps_out)
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mae_s[i] += (lmdk_bgt.mae(seq, rls_data_s)/args.iter)*100
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rls_data_s_sel, _ = lmdk_bgt.skip(seq, lmdks_sel, eps_out)
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mae_s_sel[i] += (lmdk_bgt.mae(seq, rls_data_s_sel)/args.iter)*100
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# Uniform
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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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rls_data_u, _ = lmdk_bgt.uniform_r(seq, lmdks, eps_out)
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mae_u[i] += (lmdk_bgt.mae(seq, rls_data_u)/args.iter)*100
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rls_data_u_sel, _ = lmdk_bgt.uniform_r(seq, lmdks_sel, eps_out)
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mae_u_sel[i] += (lmdk_bgt.mae(seq, rls_data_u_sel)/args.iter)*100
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# Adaptive
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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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rls_data_a, _, _ = lmdk_bgt.adaptive(seq, lmdks, eps_out, .5, .5)
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mae_a[i] += (lmdk_bgt.mae(seq, rls_data_a)/args.iter)*100
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rls_data_a_sel, _, _ = lmdk_bgt.adaptive(seq, lmdks_sel, eps_out, .5, .5)
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mae_a_sel[i] += (lmdk_bgt.mae(seq, rls_data_a_sel)/args.iter)*100
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# Calculate once
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if lmdk == min(data_info[d]['lmdks']):
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@ -128,27 +137,55 @@ def main(args):
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# Plot bars
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plt.bar(
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x_i + x_offset,
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mae_s,
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mae_s_sel,
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bar_width,
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label='Skip',
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linewidth=lmdk_lib.line_width
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)
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plt.bar(
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x_i + x_offset,
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mae_s,
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bar_width,
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color='none',
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linestyle='dashed',
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edgecolor='#bdbdbd',
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linewidth=lmdk_lib.line_width
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)
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x_offset += bar_width
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plt.bar(
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x_i + x_offset,
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mae_u,
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mae_u_sel,
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bar_width,
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label='Uniform',
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linewidth=lmdk_lib.line_width
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)
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plt.bar(
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x_i + x_offset,
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mae_u,
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bar_width,
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color='none',
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linestyle='dashed',
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edgecolor='#bdbdbd',
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linewidth=lmdk_lib.line_width
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)
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x_offset += bar_width
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plt.bar(
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x_i + x_offset,
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mae_a,
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mae_a_sel,
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bar_width,
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label='Adaptive',
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linewidth=lmdk_lib.line_width
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)
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plt.bar(
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x_i + x_offset,
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mae_a,
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bar_width,
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color='none',
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linestyle='dashed',
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edgecolor='#bdbdbd',
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linewidth=lmdk_lib.line_width
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)
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x_offset += bar_width
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path = str('../../rslt/bgt_cmp/' + d)
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# Plot legend
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@ -156,7 +193,7 @@ def main(args):
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# Show plot
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# plt.show()
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# Save plot
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lmdk_lib.save_plot(path + '-sel.pdf')
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lmdk_lib.save_plot(path + '-sel-cmp.pdf')
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print('[OK]', flush=True)
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