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Andrea Maldonado commited on
Commit
b148556
·
1 Parent(s): 8517a41

rutpt to rvpnot, _heuristics to _heu

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Files changed (11) hide show
  1. config_files/algorithm/benchmark.json +1 -1
  2. config_files/algorithm/experiment_test.json +1 -1
  3. data/grid_1obj/{grid_1objectives_rutpt.csv → grid_1objectives_rvpnot.csv} +0 -0
  4. data/grid_2obj/{grid_2objectives_ense_rutpt.csv → grid_2objectives_ense_rvpnot.csv} +0 -0
  5. data/grid_2obj/{grid_2objectives_enseef_rutpt.csv → grid_2objectives_enseef_rvpnot.csv} +0 -0
  6. data/grid_2obj/{grid_2objectives_enself_rutpt.csv → grid_2objectives_enself_rvpnot.csv} +0 -0
  7. data/grid_2obj/{grid_2objectives_enve_rutpt.csv → grid_2objectives_enve_rvpnot.csv} +0 -0
  8. data/grid_2obj/{grid_2objectives_rmcv_rutpt.csv → grid_2objectives_rmcv_rvpnot.csv} +0 -0
  9. data/grid_2obj/{grid_2objectives_rt10v_rutpt.csv → grid_2objectives_rt10v_rvpnot.csv} +0 -0
  10. gedi/benchmark.py +3 -1
  11. gedi/plotter.py +3 -3
config_files/algorithm/benchmark.json CHANGED
@@ -4,6 +4,6 @@
4
  "benchmark_test": "discovery",
5
  "input_path":"data/test",
6
  "output_path":"output",
7
- "miners" : ["inductive", "heuristics", "imf", "ilp"]
8
  }
9
  ]
 
4
  "benchmark_test": "discovery",
5
  "input_path":"data/test",
6
  "output_path":"output",
7
+ "miners" : ["inductive", "heu", "imf", "ilp"]
8
  }
9
  ]
config_files/algorithm/experiment_test.json CHANGED
@@ -47,6 +47,6 @@
47
  "benchmark_test": "discovery",
48
  "input_path":"data/test",
49
  "output_path":"output",
50
- "miners" : ["inductive", "heuristics", "imf", "ilp"]
51
  }
52
  ]
 
47
  "benchmark_test": "discovery",
48
  "input_path":"data/test",
49
  "output_path":"output",
50
+ "miners" : ["inductive", "heu", "imf", "ilp"]
51
  }
52
  ]
data/grid_1obj/{grid_1objectives_rutpt.csv → grid_1objectives_rvpnot.csv} RENAMED
File without changes
data/grid_2obj/{grid_2objectives_ense_rutpt.csv → grid_2objectives_ense_rvpnot.csv} RENAMED
File without changes
data/grid_2obj/{grid_2objectives_enseef_rutpt.csv → grid_2objectives_enseef_rvpnot.csv} RENAMED
File without changes
data/grid_2obj/{grid_2objectives_enself_rutpt.csv → grid_2objectives_enself_rvpnot.csv} RENAMED
File without changes
data/grid_2obj/{grid_2objectives_enve_rutpt.csv → grid_2objectives_enve_rvpnot.csv} RENAMED
File without changes
data/grid_2obj/{grid_2objectives_rmcv_rutpt.csv → grid_2objectives_rmcv_rvpnot.csv} RENAMED
File without changes
data/grid_2obj/{grid_2objectives_rt10v_rutpt.csv → grid_2objectives_rt10v_rvpnot.csv} RENAMED
File without changes
gedi/benchmark.py CHANGED
@@ -94,7 +94,7 @@ class BenchmarkTest:
94
  else:
95
  log_name = "gen_el_"+str(log_counter)
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  results = {"log": event_log}
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-
98
  for miner in miners:
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  miner_cols = [f"fitness_{miner}", f"precision_{miner}", f"fscore_{miner}", f"size_{miner}", f"cfc_{miner}", f"pnsize_{miner}"]# f"generalization_{miner}",f"simplicity_{miner}"]
100
  start_miner = dt.now()
@@ -186,6 +186,8 @@ class BenchmarkTest:
186
  if miner == 'imf':
187
  miner = 'inductive'
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  miner_params = f', noise_threshold={NOISE_THRESHOLD}'
 
 
189
  net, im, fm = eval(f"discover_petri_net_{miner}(log {miner_params})")
190
  bpmn_graph = convert_to_bpmn(net, im, fm)
191
  fitness = fitness_alignments(log, net, im, fm)['log_fitness']
 
94
  else:
95
  log_name = "gen_el_"+str(log_counter)
96
  results = {"log": event_log}
97
+
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  for miner in miners:
99
  miner_cols = [f"fitness_{miner}", f"precision_{miner}", f"fscore_{miner}", f"size_{miner}", f"cfc_{miner}", f"pnsize_{miner}"]# f"generalization_{miner}",f"simplicity_{miner}"]
100
  start_miner = dt.now()
 
186
  if miner == 'imf':
187
  miner = 'inductive'
188
  miner_params = f', noise_threshold={NOISE_THRESHOLD}'
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+ elif miner == 'heu':
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+ miner = 'heuristics'
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  net, im, fm = eval(f"discover_petri_net_{miner}(log {miner_params})")
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  bpmn_graph = convert_to_bpmn(net, im, fm)
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  fitness = fitness_alignments(log, net, im, fm)['log_fitness']
gedi/plotter.py CHANGED
@@ -263,7 +263,7 @@ class BenchmarkPlotter:
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  corr = df.corr()
264
 
265
  if mean == 'methods':
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- for method in ['inductive', 'heuristics', 'ilp']:
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  method_cols = [col for col in corr.columns if col.startswith(method)]
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  corr[method+'_avg'] = corr.loc[:, corr.columns.isin(method_cols)].mean(axis=1)
269
  elif mean == 'metrics':
@@ -274,7 +274,7 @@ class BenchmarkPlotter:
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  avg_cols = [col for col in corr.columns if col.endswith('_avg')]
275
 
276
  benchmark_result_cols = [col for col in corr.columns if col.startswith('inductive')
277
- or col.startswith('heuristics') or col.startswith('ilp')]
278
 
279
  corr = corr[:][~corr.index.isin(benchmark_result_cols)]
280
 
@@ -298,7 +298,7 @@ class BenchmarkPlotter:
298
 
299
  def plot_miners_correlation(self, benchmark, output_path=None):
300
  benchmark_result_cols = [col for col in benchmark.columns if col.startswith('inductive')
301
- or col.startswith('heuristics') or col.startswith('ilp')]
302
  df = benchmark.loc[:, benchmark.columns!='log']
303
  df = df.loc[:, df.columns.isin(benchmark_result_cols)]
304
 
 
263
  corr = df.corr()
264
 
265
  if mean == 'methods':
266
+ for method in ['inductive', 'heu', 'ilp']:
267
  method_cols = [col for col in corr.columns if col.startswith(method)]
268
  corr[method+'_avg'] = corr.loc[:, corr.columns.isin(method_cols)].mean(axis=1)
269
  elif mean == 'metrics':
 
274
  avg_cols = [col for col in corr.columns if col.endswith('_avg')]
275
 
276
  benchmark_result_cols = [col for col in corr.columns if col.startswith('inductive')
277
+ or col.startswith('heu') or col.startswith('ilp')]
278
 
279
  corr = corr[:][~corr.index.isin(benchmark_result_cols)]
280
 
 
298
 
299
  def plot_miners_correlation(self, benchmark, output_path=None):
300
  benchmark_result_cols = [col for col in benchmark.columns if col.startswith('inductive')
301
+ or col.startswith('heu') or col.startswith('ilp')]
302
  df = benchmark.loc[:, benchmark.columns!='log']
303
  df = df.loc[:, df.columns.isin(benchmark_result_cols)]
304