BlackScholes_scenario.json

{
    "application_name": "BlackScholes",
    "log_file": "log_BlackScholes.log",
    "number_of_cpus": 4,
    "models": {
        "model": "random_forest",
        "number_of_trees": 20
    },
    "max_number_of_predictions": 1000000,
    "optimization_iterations": 50,
    "number_of_repetitions": 3,
    "hypermapper_mode": {
        "mode": "exhaustive",
        "exhaustive_search_file": "tests/data/BlackScholes_exhaustive_search_data.csv"
    },
    "optimization_objectives": ["ALMs", "Cycles"],
    "feasible_output": {
        "name": "Valid",
        "true_value": "true",
        "false_value": "false",
        "enable_feasible_predictor": true,
        "enable_feasible_predictor_grid_search_on_recall_and_precision": false,
        "feasible_predictor_grid_search_validation_file": "/home/lnardi/spatial-lang/results/apps_classification_test_set/BlackScholes.csv"
    },
    "timestamp": "Timestamp",
    "evaluations_per_optimization_iteration": 1,
    "run_directory": "tests/data/",
    "output_data_file": "BlackScholes_output_data.csv",
    "output_pareto_file": "BlackScholes_output_pareto.csv",
    "output_image": {
        "output_image_pdf_file": "BlackScholes_output_image.pdf",
        "optimization_objectives_labels_image_pdf": ["Logic Utilization (%)", "Cycles (log)"],
        "image_xlog": false,
        "image_ylog": true,
        "objective_1_max": 262400
    },
    "design_of_experiment": {
      "doe_type": "standard latin hypercube",
      "number_of_samples": 1000
    },
    "input_parameters" : {
        "B": {
            "parameter_type" : "ordinal",
            "values" : [96, 192, 288, 384, 480, 576, 672, 768, 864, 960, 1056, 1152, 1248, 1344, 1440, 1536, 1632, 1728, 1824, 1920, 2016, 2112, 2208, 2304, 2400, 2496, 2592, 2688, 2784, 2880, 2976, 3072, 3168, 3264, 3360, 3456, 3552, 3648, 3744, 3840, 3936, 4032, 4128, 4224, 4320, 4416, 4512, 4608, 4704, 4800, 4896, 4992, 5088, 5184, 5280, 5376, 5472, 5568, 5664, 5760, 5856, 5952, 6048, 6144, 6240, 6336, 6432, 6528, 6624, 6720, 6816, 6912, 7008, 7104, 7200, 7296, 7392, 7488, 7584, 7680, 7776, 7872, 7968, 8064, 8160, 8256, 8352, 8448, 8544, 8640, 8736, 8832, 8928, 9024, 9120, 9216, 9312, 9408, 9504, 9600, 9696, 9792, 9888, 9984, 10080, 10176, 10272, 10368, 10464, 10560, 10656, 10752, 10848, 10944, 11040, 11136, 11232, 11328, 11424, 11520, 11616, 11712, 11808, 11904, 12000, 12096, 12192, 12288, 12384, 12480, 12576, 12672, 12768, 12864, 12960, 13056, 13152, 13248, 13344, 13440, 13536, 13632, 13728, 13824, 13920, 14016, 14112, 14208, 14304, 14400, 14496, 14592, 14688, 14784, 14880, 14976, 15072, 15168, 15264, 15360, 15456, 15552, 15648, 15744, 15840, 15936, 16032, 16128, 16224, 16320, 16416, 16512, 16608, 16704, 16800, 16896, 16992, 17088, 17184, 17280, 17376, 17472, 17568, 17664, 17760, 17856, 17952, 18048, 18144, 18240, 18336, 18432, 18528, 18624, 18720, 18816, 18912, 19008, 19104, 19200],
            "parameter_default" : 96,
            "prior" : "decay"
        },
        "OP": {
            "parameter_type" : "ordinal",
            "values" : [1, 2],
            "parameter_default" : 1,
            "prior" : [0.4, 0.6]
        },
        "IP": {
            "parameter_type" : "ordinal",
            "values" : [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96],
            "parameter_default" : 1,
            "prior" : "gaussian"
        },
        "x1873": {
            "parameter_type" : "categorical",
            "values" : ["false", "true"],
            "parameter_default" : "false",
            "prior" : [0.4, 0.6]
        }
    }
}