config_rnn.json

{
    "paths": {
        "bin_dir": "compiled",        
        "save_dir": "results",
        "log_dir": "logs"
    },
    "data": {         
        "filename": "dataset/hi025-025_eta025-025_train1_allhits_120320_v2.csv",
        "train_split": 0.80,
        "normalise": true,
        "cylindrical": true,
        "num_hits": 10,
        "features": 3        
    },
    "training": {
        "epochs": 12,
        "batch_size": 18,
        "validation": 0.2,        
        "save_model": true,
        "load_model": false,
        "use_gpu": true,
        "show_metrics": false,
        "shuffle": true,
        "earlystopping": false               
    },
    "testing": {
        "type_optimization" : "normal",
        "normalise": false,
        "tolerance": 0.01
    },
    "model": {
        "name": "simple-rnn",
        "overwrite": true,        
        "loss": "mse",
        "metrics": ["acc"],        
        "optimizer": "rmsprop",
        "isparallel": false,      
        "layers": [
            {
                "type": "rnn",
                "neurons": 12,
                "input_features": 3,
                "input_timesteps": 4,                
                "activation": "relu"
            },
            {
                "type": "dense",
                "neurons": 6,
                "activation": "relu"
            },
            {
                "type": "dense",
                "neurons": 3,
                "activation": "linear"
            }
        ]
    }
}