"task_params": { "launcher_file": "launcher.sh" }, } if __name__ == "__main__": random.seed(23233) experiment_dir = os.path.abspath(os.path.join( os.environ['RESULTS'], "basic_model_randomsearch_2014-05-31")) parameter_search_grid_full = product([ expand({ "embedding_dimension": 20 }), expand({ "n_feature_maps_w1": range(5, 12+1, 1), "n_feature_maps_w2": range(20, 30+1, 1), "n_feature_maps_d1": range(20, 30+1, 1), }), expand({ "kernel_width_w1": range(5, 15+1), "kernel_width_w2": range(5, 10+1), "kernel_width_d1": range(5, 15+1), }), expand({ "k_max_w1": 7, "k_max_w2": 5, "k_max_d1": 5,
], "task_params": { "launcher_file": "launcher.sh" }, } if __name__ == "__main__": random.seed(23233) experiment_dir = os.path.abspath( os.path.join(os.environ['RESULTS'], "basic_model_randomsearch_2014-05-31_2")) parameter_search_grid_full = product([ expand({"embedding_dimension": 20}), expand({ "n_feature_maps_w1": range(5, 12 + 1, 1), "n_feature_maps_w2": range(20, 30 + 1, 1), "n_feature_maps_d1": range(20, 30 + 1, 1), }), expand({ "kernel_width_w1": range(5, 15 + 1), "kernel_width_w2": range(5, 10 + 1), "kernel_width_d1": range(5, 15 + 1), }), expand({ "k_max_w1": 7, "k_max_w2": 5, "k_max_d1": 5, }),
], "task_params": { "launcher_file": "launcher.sh" }, } if __name__ == "__main__": experiment_dir = os.path.abspath(os.path.join( os.environ['RESULTS'], "test_job_launcher")) parameter_search_grid = product([ expand({ "embedding_dimension": [20, 40] }), expand({ "n_feature_maps_w1": [10, 20], "n_feature_maps_w2": [10, 20], "n_feature_maps_d1": [10, 20], }), expand({ "kernel_width_w1": [7], "kernel_width_w2": [5], "kernel_width_d1": [3, 5], }), expand({ "k_max_w1": [8], "k_max_w2": [6], "k_max_d1": [3, 5],
k_max=k_max_d1, n_feature_maps=n_feature_maps_d1), }, } ], "task_params": { "launcher_file": "launcher.sh" }, } if __name__ == "__main__": experiment_dir = os.path.abspath( os.path.join(os.environ['RESULTS'], "test_job_launcher")) parameter_search_grid = product([ expand({"embedding_dimension": [20, 40]}), expand({ "n_feature_maps_w1": [10, 20], "n_feature_maps_w2": [10, 20], "n_feature_maps_d1": [10, 20], }), expand({ "kernel_width_w1": [7], "kernel_width_w2": [5], "kernel_width_d1": [3, 5], }), expand({ "k_max_w1": [8], "k_max_w2": [6], "k_max_d1": [3, 5], }),
"task_params": { "launcher_file": "launcher.sh" }, } if __name__ == "__main__": random.seed(2323423) experiment_dir = os.path.abspath(os.path.join( os.environ['RESULTS'], "test_job_launcher")) parameter_search_grid_full = product([ expand({ "embedding_dimension": 30 }), expand({ "n_feature_maps_w1": range(5, 25+1, 3), "n_feature_maps_w2": range(5, 25+1, 3), "n_feature_maps_d1": range(5, 25+1, 3), }), expand({ "kernel_width_w1": range(3, 7), "kernel_width_w2": range(3, 7), "kernel_width_d1": range(3, 7), }), expand({ "k_max_w1": range(2, 8, 2), "k_max_w2": range(2, 6, 2), "k_max_d1": range(2, 4),
} ], "task_params": { "launcher_file": "launcher.sh" }, } if __name__ == "__main__": random.seed(2323423) experiment_dir = os.path.abspath( os.path.join(os.environ['RESULTS'], "test_job_launcher")) parameter_search_grid_full = product([ expand({"embedding_dimension": 30}), expand({ "n_feature_maps_w1": range(5, 25 + 1, 3), "n_feature_maps_w2": range(5, 25 + 1, 3), "n_feature_maps_d1": range(5, 25 + 1, 3), }), expand({ "kernel_width_w1": range(3, 7), "kernel_width_w2": range(3, 7), "kernel_width_d1": range(3, 7), }), expand({ "k_max_w1": range(2, 8, 2), "k_max_w2": range(2, 6, 2), "k_max_d1": range(2, 4), }),
], "task_params": { "launcher_file": "launcher.sh" }, } if __name__ == "__main__": experiment_dir = os.path.abspath(os.path.join( os.environ['RESULTS'], "two_doc_layer_model_gridsearch_2014-05-31")) parameter_search_grid = product([ expand({ "embedding_dimension": 20 }), expand({ "n_feature_maps_w1": 10, "n_feature_maps_w2": 20, "n_feature_maps_d1": 20, }), expand({ "kernel_width_w1": 7, "kernel_width_w2": 5, "kernel_width_d1": 3, }), expand({ "k_max_w1": 8, "k_max_w2": 6, "k_max_d1": 3,