From 9888ea8bc4fcd163e38e245e1bb673b392db07ac Mon Sep 17 00:00:00 2001 From: qnater Date: Mon, 30 Sep 2024 13:19:47 +0200 Subject: [PATCH] correction of optimization and creation of batches --- .idea/workspace.xml | 20 +++++++++++------- env/default_values.toml | 2 +- .../assets/imputation/test_imputation.png | Bin 95547 -> 90405 bytes .../__pycache__/imputation.cpython-312.pyc | Bin 9518 -> 9499 bytes imputegap/imputation/imputation.py | 8 +++---- .../__pycache__/manager.cpython-312.pyc | Bin 11367 -> 11442 bytes .../manager/__pycache__/utils.cpython-312.pyc | Bin 3371 -> 3374 bytes imputegap/manager/manager.py | 13 ++++++------ imputegap/manager/utils.py | 2 +- .../bayesian_optimization.cpython-312.pyc | Bin 5205 -> 5267 bytes .../optimization/bayesian_optimization.py | 2 +- imputegap/runner_imputation.py | 18 +++++++++++++--- imputegap/runner_optimization.py | 4 ++-- .../optimal_parameters_b_chlorine_cdrec.toml | 0 .../optimal_parameters_b_chlorine_stmvl.toml | 0 {env => params}/optimal_parameters_iim.toml | 0 {env => params}/optimal_parameters_mrnn.toml | 0 tests/test_opti_bayesian_cdrec.py | 2 +- tests/test_opti_bayesian_iim.py | 2 +- tests/test_opti_bayesian_mrnn.py | 2 +- tests/test_opti_bayesian_stmvl.py | 2 +- 21 files changed, 46 insertions(+), 31 deletions(-) rename {env => params}/optimal_parameters_b_chlorine_cdrec.toml (100%) rename {env => params}/optimal_parameters_b_chlorine_stmvl.toml (100%) rename {env => params}/optimal_parameters_iim.toml (100%) rename {env => params}/optimal_parameters_mrnn.toml (100%) diff --git a/.idea/workspace.xml b/.idea/workspace.xml index c79abdd..177efb5 100644 --- a/.idea/workspace.xml +++ b/.idea/workspace.xml @@ -2,16 +2,18 @@ - - - - - - + + + + + + + + @@ -72,6 +74,7 @@ + @@ -212,7 +215,8 @@ - + + @@ -238,6 +242,6 @@ - + \ No newline at end of file diff --git a/env/default_values.toml b/env/default_values.toml index 877848a..5c9e64b 100644 --- a/env/default_values.toml +++ b/env/default_values.toml @@ 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Default is 'optimization_results.toml'. """ if file_name is None: - file_name = "../env/optimal_parameters_" + str(optimizer) + "_" + str(dataset) + "_" + str(algorithm) + ".toml" + file_name = "../params/optimal_parameters_" + str(optimizer) + "_" + str(dataset) + "_" + str(algorithm) + ".toml" if not os.path.exists(file_name): file_name = file_name[1:] diff --git a/imputegap/runner_imputation.py b/imputegap/runner_imputation.py index 8ce370a..69cb009 100644 --- a/imputegap/runner_imputation.py +++ b/imputegap/runner_imputation.py @@ -4,6 +4,8 @@ from imputegap.manager.manager import TimeSeries import os +from imputegap.optimization.bayesian_optimization import Optimization + def display_title(title="Master Thesis", aut="Quentin Nater", lib="ImputeGAP", university="University Fribourg - exascale infolab"): print("=" * 100) @@ -25,6 +27,9 @@ def check_block_size(filename): display_title() filename = "eeg" + load = False + algo = "cdrec" + file_path = os.path.join("./dataset/", filename + ".txt") gap = TimeSeries(data=file_path, normalization="z_score") @@ -34,13 +39,20 @@ def check_block_size(filename): gap.plot(title="test", save_path="assets", limitation=0, display=False) gap.ts_contaminate = Contamination.scenario_mcar(ts=gap.ts, series_impacted=0.4, missing_rate=0.4, block_size=block_size, protection=0.1, use_seed=True, seed=42) - gap.print() + gap.print(limitation=10) gap.plot(ts_type="contamination", title="test", save_path="assets", limitation=plot_limit, display=False) - gap.optimal_params = utils.load_parameters(query="optimal", algorithm="cdrec") + if load: + gap.optimal_params = utils.load_parameters(query="optimal", algorithm=algo) + else: + optimal_params, yi = Optimization.Bayesian.bayesian_optimization(ground_truth=gap.ts, + contamination=gap.ts_contaminate, + algorithm=algo, n_calls=3) + gap.optimal_params = tuple(optimal_params.values()) + print("\nOptical Params : ", gap.optimal_params) gap.ts_imputation, gap.metrics = Imputation.MR.cdrec(ground_truth=gap.ts, contamination=gap.ts_contaminate, params=gap.optimal_params) - gap.print() + gap.print(limitation=10) gap.print_results() gap.plot(ts_type="imputation", title="test", save_path="assets", limitation=plot_limit, display=False) diff --git a/imputegap/runner_optimization.py b/imputegap/runner_optimization.py index f0f5875..cc519df 100644 --- a/imputegap/runner_optimization.py +++ b/imputegap/runner_optimization.py @@ -35,12 +35,12 @@ def check_block_size(filename): gap.plot(title="test", save_path="assets", limitation=6, display=False) gap.ts_contaminate = Contamination.scenario_mcar(ts=gap.ts, series_impacted=0.4, missing_rate=0.4, block_size=block_size, protection=0.1, use_seed=True, seed=42) - gap.print() + gap.print(limitation=5) gap.plot(ts_type="contamination", title="test", save_path="assets", limitation=3, display=False) for algo in ["cdrec", "stmvl", "iim", "mrnn"]: print("RUN OPTIMIZATION FOR : ", algo, "... with ", filename, "...") - optimal_params, yi = Optimization.Bayesian.bayesian_optimization(ground_truth=gap.ts, contamination=gap.ts_contaminate, algorithm=algo) + optimal_params, yi = Optimization.Bayesian.bayesian_optimization(ground_truth=gap.ts, contamination=gap.ts_contaminate, algorithm=algo, n_calls=100) print("\nOptical Params : ", optimal_params) print("\nyi : ", yi, "\n") Optimization.save_optimization(optimal_params=optimal_params, algorithm=algo, dataset=filename, optimizer="b") diff --git a/env/optimal_parameters_b_chlorine_cdrec.toml b/params/optimal_parameters_b_chlorine_cdrec.toml similarity index 100% rename from env/optimal_parameters_b_chlorine_cdrec.toml rename to params/optimal_parameters_b_chlorine_cdrec.toml diff --git a/env/optimal_parameters_b_chlorine_stmvl.toml b/params/optimal_parameters_b_chlorine_stmvl.toml similarity index 100% rename from env/optimal_parameters_b_chlorine_stmvl.toml rename to params/optimal_parameters_b_chlorine_stmvl.toml diff --git a/env/optimal_parameters_iim.toml b/params/optimal_parameters_iim.toml similarity index 100% rename from env/optimal_parameters_iim.toml rename to params/optimal_parameters_iim.toml diff --git a/env/optimal_parameters_mrnn.toml b/params/optimal_parameters_mrnn.toml similarity index 100% rename from env/optimal_parameters_mrnn.toml rename to params/optimal_parameters_mrnn.toml diff --git a/tests/test_opti_bayesian_cdrec.py b/tests/test_opti_bayesian_cdrec.py index 7ef6ea3..4f62553 100644 --- a/tests/test_opti_bayesian_cdrec.py +++ b/tests/test_opti_bayesian_cdrec.py @@ -22,7 +22,7 @@ def test_optimization_bayesian_cdrec(self): ts_contaminated = Contamination.scenario_mcar(ts=gap.ts, series_impacted=0.4, missing_rate=0.4, block_size=2, protection=0.1, use_seed=True, seed=42) - optimal_params, yi = Optimization.Bayesian.bayesian_optimization(ground_truth=gap.ts, contamination=ts_contaminated, algorithm=algorithm) + optimal_params, yi = Optimization.Bayesian.bayesian_optimization(ground_truth=gap.ts, contamination=ts_contaminated, algorithm=algorithm, n_calls=3) print("\nOptimization done successfully... ") print("\n", optimal_params, "\n") diff --git a/tests/test_opti_bayesian_iim.py b/tests/test_opti_bayesian_iim.py index 57c8a34..ee870d9 100644 --- a/tests/test_opti_bayesian_iim.py +++ b/tests/test_opti_bayesian_iim.py @@ -25,7 +25,7 @@ def test_optimization_bayesian_iim(self): optimal_params, yi = Optimization.Bayesian.bayesian_optimization(ground_truth=gap.ts, contamination=ts_contaminated, - algorithm=algorithm) + algorithm=algorithm, n_calls=3) print("\nOptimization done successfully... ") print("\n", optimal_params, "\n") diff --git a/tests/test_opti_bayesian_mrnn.py b/tests/test_opti_bayesian_mrnn.py index c2d7441..b5346f6 100644 --- a/tests/test_opti_bayesian_mrnn.py +++ b/tests/test_opti_bayesian_mrnn.py @@ -24,7 +24,7 @@ def test_optimization_bayesian_mrnn(self): optimal_params, yi = Optimization.Bayesian.bayesian_optimization(ground_truth=gap.ts, contamination=ts_contaminated, - algorithm=algorithm) + algorithm=algorithm, n_calls=3) print("\nOptimization done successfully... ") print("\n", optimal_params, "\n") diff --git a/tests/test_opti_bayesian_stmvl.py b/tests/test_opti_bayesian_stmvl.py index 92b479c..6a03662 100644 --- a/tests/test_opti_bayesian_stmvl.py +++ b/tests/test_opti_bayesian_stmvl.py @@ -25,7 +25,7 @@ def test_optimization_bayesian_stmvl(self): optimal_params, yi = Optimization.Bayesian.bayesian_optimization(ground_truth=gap.ts, contamination=ts_contaminated, - algorithm=algorithm) + algorithm=algorithm, n_calls=3) print("\nOptimization done successfully... ") print("\n", optimal_params, "\n")