"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,
