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,
     }),
     expand({
         "dropout": True,
         "n_epochs": 100000,
         "adagrad_gamma": 0.01,
         "validation_frequency": 50,
         "save_frequency": 50,
         "batch_size": 50,
         "walltime": "24:00:00",
         "n_classes": 2,
         "pmem": "6gb",
         "ppn": 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,
     }),
     expand({
         "regularizer": [1e-4, 5e-3, 1e-3],
         "dropout": True,
         "n_epochs": 100000,
         "adagrad_gamma": 0.01,
         "validation_frequency": 50,
         "save_frequency": 50,
         "batch_size": 50,
         "walltime": "24:00:00",
         "n_classes": 2,
         "pmem": "6gb",
         "ppn": 2,
     })
 ])
Ejemplo n.º 3
0
 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],
     }),
     expand({
         "dropout": [True, False],
         "n_epochs": 10000,
         "adagrad_gamma": 0.01,
         "validation_frequency": 50,
         "save_frequency": 50,
         "batch_size": 50,
         "walltime": "10:00:00",
         "n_classes": 2,
         "pmem": "4gb",
         "ppn": 4,
     })
 ])
Ejemplo n.º 4
0
    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],
        }),
        expand({
            "dropout": [True, False],
            "n_epochs": 10000,
            "adagrad_gamma": 0.01,
            "validation_frequency": 50,
            "save_frequency": 50,
            "batch_size": 50,
            "walltime": "10:00:00",
            "n_classes": 2,
            "pmem": "4gb",
            "ppn": 4,
        })
    ])
 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),
     }),
     expand({
         "dropout": [True, False],
         "n_epochs": 10000,
         "adagrad_gamma": 0.01,
         "validation_frequency": 50,
         "save_frequency": 50,
         "batch_size": 50,
         "walltime": "10:00:00",
         "n_classes": 2,
         "pmem": "4gb",
         "ppn": 4,
     })
 ])
Ejemplo n.º 6
0
    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),
        }),
        expand({
            "dropout": [True, False],
            "n_epochs": 10000,
            "adagrad_gamma": 0.01,
            "validation_frequency": 50,
            "save_frequency": 50,
            "batch_size": 50,
            "walltime": "10:00:00",
            "n_classes": 2,
            "pmem": "4gb",
            "ppn": 4,
        })
    ])
Ejemplo n.º 7
0
 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,
     }),
     expand({
         "regularizer": [1e-4, 5e-4, 1e-3],
         "dropout_input": [True, False],
         "fully_connected_layer": [True, False],
         "n_epochs": 10000,
         "adagrad_gamma": [0.005, 0.01, 0.02],
         "validation_frequency": 50,
         "save_frequency": 50,
         "batch_size": 50,
         "walltime": "24:00:00",
         "n_classes": 2,
         "pmem": "6gb",
         "ppn": 1,
     })
 ])