diff --git a/.DS_Store b/.DS_Store new file mode 100644 index 0000000..2ca06d4 Binary files /dev/null and b/.DS_Store differ diff --git a/hawk/.DS_Store b/hawk/.DS_Store new file mode 100644 index 0000000..5b6a3a4 Binary files /dev/null and b/hawk/.DS_Store differ diff --git a/hawk/analysis/main.py b/hawk/analysis/main.py index 154c259..ae888d5 100644 --- a/hawk/analysis/main.py +++ b/hawk/analysis/main.py @@ -82,15 +82,15 @@ def run_baseline_analysis(self): baseline = {} features_names = self.datasets["normal"]["var_names"] - + print(f"features_names: {features_names}") configs = [] - # Only autoregressive baselines from 1 to the maximum target lag + # Only autoregressive baselines from 1 to the maximum target lag for i in range(1, self.tefs_max_lag_target+1): configs.append((f"AR({i})", {self.target_column_name: list(range(1, i + 1))})) - + print(f"AR configs: {configs}") # All features without AR @@ -100,18 +100,19 @@ def run_baseline_analysis(self): {feature: self.tefs_features_lags for feature in features_names if feature != self.target_column_name}, ) ) - + print(f"Full configs: {configs}") - + # All features with AR configs.append( ( "All features and AR", - {feature: self.tefs_features_lags if feature != self.target_column_name else list(range(1, self.tefs_max_lag_target+1)) for feature in features_names}, + {feature: self.tefs_features_lags if feature != self.target_column_name + else list(range(1, self.tefs_max_lag_target+1)) for feature in features_names}, ) ) - - print(f"Full configs: {configs}") + + print(f"Full configs: {configs}") for label, inputs_names_lags in configs: baseline[label] = { @@ -123,7 +124,7 @@ def run_baseline_analysis(self): df_test=self.datasets["normal"]["test"], ), } - + print(f"Baselines: {baseline}") target_file = os.path.join(self.workdir, "baseline.pkl") @@ -170,7 +171,7 @@ def run_tefs_analysis( "dataset_name": dataset_name, } configurations.append(configuration) - + print(f"TEFS configurations: {configurations}") # Run the analysis @@ -183,7 +184,7 @@ def run_tefs_analysis( config=config, ) ) - + print(f"TEFS results: {results}") return results @@ -195,14 +196,14 @@ def run_pcmci_analysis( # Define the tests parcorr = ParCorr(significance="analytic") - #cmiknn = CMIknn( - # significance="shuffle_test", - # knn=0.1, - # shuffle_neighbors=5, - # transform="ranks", - # sig_samples=200, - #) - cmiknn = CMIknn() + cmiknn = CMIknn( + significance="shuffle_test", + knn=0.1, + shuffle_neighbors=5, + transform="ranks", + sig_samples=200, + ) + # cmiknn = CMIknn() # Create the dictionary of tests independence_tests = { @@ -238,7 +239,7 @@ def run_pcmci_analysis( "dataset_name": dataset_name, } configurations.append(configuration) - + print(f'PCMCI configurations: {configurations}') # Run the analysis @@ -252,9 +253,7 @@ def run_pcmci_analysis( ) ) print(f"PCMCI+ results: {results}") - - save_to_pkl_file("/work/bk1318/b382633/pcmci_results.pkl", results) - + return results def run(self): @@ -264,19 +263,19 @@ def run(self): if self.response: self.response.update_status("Performing TEFS analysis", 33) tefs_results = self.run_tefs_analysis() - #if self.response: - # self.response.update_status("Performing PCMCI analysis", 66) - #pcmci_results = self.run_pcmci_analysis() - - #if self.response: - # self.response.update_status("Postprocessing PCMCI", 80) - #self.plot_pcmci, self.details_pcmci = run_postprocessing_pcmci( - # results_pcmci=pcmci_results, - # target_column_name=self.target_column_name, - # datasets=self.datasets, - # destination_path=self.workdir, - # image_formats=["pdf", "png"], - #) + if self.response: + self.response.update_status("Performing PCMCI analysis", 66) + pcmci_results = self.run_pcmci_analysis() + + if self.response: + self.response.update_status("Postprocessing PCMCI", 80) + self.plot_pcmci, self.details_pcmci = run_postprocessing_pcmci( + results_pcmci=pcmci_results, + target_column_name=self.target_column_name, + datasets=self.datasets, + destination_path=self.workdir, + image_formats=["pdf", "png"], + ) if self.response: self.response.update_status("Postprocessing TEFS", 90) self.plot_tefs, self.details_tefs = run_postprocessing_tefs( @@ -286,12 +285,12 @@ def run(self): destination_path=self.workdir, image_formats=["pdf", "png"], ) - #if self.response: - # self.response.update_status("Postprocessing TEFS Wrapper", 95) - #self.plot_tefs_wrapper, self.details_tefs_wrapper = run_postprocessing_tefs_wrapper( - # results_tefs=tefs_results, - # target_column_name=self.target_column_name, - # datasets=self.datasets, - # destination_path=self.workdir, - # image_formats=["pdf", "png"], - #) + if self.response: + self.response.update_status("Postprocessing TEFS Wrapper", 95) + self.plot_tefs_wrapper, self.details_tefs_wrapper = run_postprocessing_tefs_wrapper( + results_tefs=tefs_results, + target_column_name=self.target_column_name, + datasets=self.datasets, + destination_path=self.workdir, + image_formats=["pdf", "png"], + ) diff --git a/hawk/analysis/postprocessing.py b/hawk/analysis/postprocessing.py index 4f822c9..f17d027 100644 --- a/hawk/analysis/postprocessing.py +++ b/hawk/analysis/postprocessing.py @@ -12,6 +12,7 @@ from .file_management import save_to_pkl_file from .pcmci_tools import get_connected_variables + # Adjusted custom sort key function to handle lag sequences and replace them with the last lag def general_custom_sort_key(s): # Find all sequences like [0,1], [1,2,3,5,6], etc. @@ -262,7 +263,7 @@ def run_postprocessing_pcmci( plt.savefig(target_file_plot, bbox_inches="tight") target_file_plots[image_format] = target_file_plot plt.close(fig) - + print(f"PCMCI results details: {results_table_pcmci}") return target_file_plots, target_file_results_details @@ -349,7 +350,7 @@ def run_postprocessing_tefs( # Export the file to pkl target_file_results_details = os.path.join(destination_path, "results_details_te.pkl") save_to_pkl_file(target_file_results_details, results_table_te) - + print(f"results_table_te: {results_table_te}") # Feature presences heatmap diff --git a/hawk/demo/.DS_Store b/hawk/demo/.DS_Store new file mode 100644 index 0000000..62c733d Binary files /dev/null and b/hawk/demo/.DS_Store differ diff --git a/hawk/demo/Ticino_test.csv b/hawk/demo/Ticino_test.csv index 5df3a86..c841a18 100644 --- a/hawk/demo/Ticino_test.csv +++ b/hawk/demo/Ticino_test.csv @@ -1,229 +1,229 @@ cyclostationary_mean_tg_0,cyclostationary_mean_HS_0,cyclostationary_mean_rr_4w_0,cyclostat_level_Maggiore_16w,cyclostat_level_Lugano,cyclostationary_mean_tg_2,target --0.2217346664937387,-0.7772508935946021,-0.5869545988531835,0.4734089562908496,-0.0137083333333407,-0.5151933451134403,0.3504266 -1.7070239752372012,-0.9979221705600836,-0.3927740265457085,0.4802314352824464,-0.0598214285714107,1.766956661062832,0.43732524 -0.5848092315288076,-0.7556176435279279,0.4134877920416794,0.48832870856676,-0.0177812500000413,1.344177844709649,0.39106083 -0.2097008357489949,-0.590875977273812,0.4963633614071593,0.4991375320961718,0.0158624999999688,0.8113956936697271,0.51532686 --1.4285152530800025,-0.1475065189001955,0.6051601765913927,0.5154310369981325,-0.0617374999999356,-0.2909199682823143,0.518892 -0.3338148768881402,0.1188583322196212,0.3513239773053517,0.5318797414799254,0.0229062499999486,-0.5032721299895392,0.4490543 -0.618106379548975,0.3137238795436766,0.5890755833393283,0.5734973885387488,0.1088214285714457,0.9326793374994684,0.4288045 --0.0045327691782711,0.6122599285816415,0.4234505203126196,0.5830542512838468,0.0970625000000495,0.8808779675150588,0.45545337 --0.1265999653267257,0.5512190024042961,0.4864132077758252,0.5926746994631186,-0.0187678571429046,0.047647155076154,0.43644184 --0.517150813047728,1.2240582343441488,0.2740272729516911,0.5992947975023343,-0.058843749999994,-0.6451798596505969,0.35592085 --0.1089813585803072,0.8826468748824868,0.3779308059687199,0.5539384249533148,-0.1062125000000264,-0.2538703596344613,0.50338954 -0.2711454848198565,1.38730455370355,0.5178108178582255,0.4374460842670402,-0.1609000000000264,0.99653450243928,0.5142025 --0.6938492660042312,1.6873560553292366,-0.0352159102385027,0.3418981150793651,-0.2019531250000454,-0.3908779947295268,0.47428614 -1.5969716556032765,1.8453941779338456,-0.4386771485894346,0.3303345636087768,-0.2488928571428914,1.3624093058671227,0.3479702 -0.7660454587384938,1.080484678124955,-0.4592980416853758,0.3235213283146592,-0.3439874999999688,0.395288311229633,0.36888126 --0.6196791730132771,1.2547697010659749,-0.268884317059643,0.3101928969421101,-0.2613392857142571,-0.4443277116571932,0.44058645 -0.8346812549046692,1.1464902210354877,-0.5304357812047794,0.2827477376283846,-0.152843750000045,1.0731121772350918,0.37058705 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