config_mlp_gaussian.json

{
    "paths": {
        "bin_dir": "compiled",
        "save_dir": "results",
        "log_dir": "logs"
    },
    "data": {
        "filename": "./dataset/eta_n0.5-0.5_phi_n0.5-0.5_internal_short1.csv",
        "train_split": 0.80,
        "normalise": true,
        "type_norm": "maxmin",
        "cylindrical": true,
        "points_3d": false,
        "num_hits": 10,
        "features": 2
    },
    "training": {
        "epochs": 50,
        "batch_size": 30,
        "validation": 0.2,
        "save_model": true,
        "load_model": false,
        "use_gpu": true,
        "show_metrics": false,
        "shuffle": true,
        "earlystopping": true
    },
    "testing": {
        "type_optimization" : "nearest",
        "metric": "cosine",        
        "normalise": false,
        "tolerance": 0.02
    },      
    "model": {
        "name": "gaussian-mlp",
        "overwrite": true,
        "isparallel": false,        
        "loss": "mse",
        "metrics": ["acc"],
        "optimizer": "adam",
        "learningrate": 0.001,        
        "layers": [
            {
                "type": "input",
                "neurons": 800,                
                "input_features": 2,
                "input_timesteps": 4,
                "activation": "tanh"                
            },
            {
                "type": "dense",
                "neurons": 100,
                "activation": "tanh"
            },
            {
                "type": "dense",
                "neurons": 2,
                "activation": "linear"
            },
            {
                "type": "gaussian_layer"
            }                     
        ]
    }
}