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experiment_settings.py
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experiment_settings.py
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"""Experimental settings
Functions
---------
get_settings(experiment_name)
"""
__author__ = "Elizabeth A. Barnes and Noah Diffenbaugh"
__date__ = "25 March 2022"
def get_settings(experiment_name):
experiments = {
# ---------------------- MAIN SIMULATIONS ---------------------------
"exp15C_245": {
"save_model": True,
"n_models": 10, # the number of networks to train
"ssp": "245", # [options: '126' or '370']
"gcmsub": "ALL", # [options: 'ALL' or 'UNIFORM'
"obsdata": "BEST", # [options: 'BEST' or 'GISTEMP'
"smooth": False,
"target_temp": 1.5,
"n_train_val_test": (7, 2, 1),
"baseline_yr_bounds": (1850, 1899),
"training_yr_bounds": (1970, 2100),
"anomaly_yr_bounds": (1951, 1980),
"remove_sh": False,
"anomalies": True, # [options: True or False]
"remove_map_mean": False, # [options: False or "weighted" or "raw"]
"network_type": 'shash2', # [options: "reg" or "shash2"]
"hiddens": [25, 25],
"dropout_rate": 0.,
"ridge_param": [10.0, 0.0],
"learning_rate": 0.00001, # reg->0.0001, shash2->.00005 or .00001
"batch_size": 64,
"rng_seed": 8889,
"seed": None,
"act_fun": ["relu", "relu"],
"n_epochs": 25_000,
"patience": 50,
},
"exp11C_245": {
"save_model": True,
"n_models": 10, # the number of networks to train
"ssp": "245", # [options: '126' or '370']
"gcmsub": "ALL", # [options: 'ALL' or 'UNIFORM'
"obsdata": "BEST", # [options: 'BEST' or 'GISTEMP'
"smooth": False,
"target_temp": 1.1,
"n_train_val_test": (7, 2, 1),
"baseline_yr_bounds": (1850, 1899),
"training_yr_bounds": (1970, 2100),
"anomaly_yr_bounds": (1951, 1980),
"remove_sh": False,
"anomalies": True, # [options: True or False]
"remove_map_mean": False, # [options: False or "weighted" or "raw"]
"network_type": 'shash2', # [options: "reg" or "shash2"]
"hiddens": [25, 25],
"dropout_rate": 0.,
"ridge_param": [10.0, 0.0],
"learning_rate": 0.00001, # reg->0.0001, shash2->.00005 or .00001
"batch_size": 64,
"rng_seed": 8889,
"seed": None,
"act_fun": ["relu", "relu"],
"n_epochs": 25_000,
"patience": 50,
},
"exp20C_245": {
"save_model": True,
"n_models": 10, # the number of networks to train
"ssp": "245", # [options: '126' or '370']
"gcmsub": "ALL", # [options: 'ALL' or 'UNIFORM'
"obsdata": "BEST", # [options: 'BEST' or 'GISTEMP'
"smooth": False,
"target_temp": 2.0,
"n_train_val_test": (7, 2, 1),
"baseline_yr_bounds": (1850, 1899),
"training_yr_bounds": (1970, 2100),
"anomaly_yr_bounds": (1951, 1980),
"remove_sh": False,
"anomalies": True, # [options: True or False]
"remove_map_mean": False, # [options: False or "weighted" or "raw"]
"network_type": 'shash2', # [options: "reg" or "shash2"]
"hiddens": [25, 25],
"dropout_rate": 0.,
"ridge_param": [10.0, 0.0],
"learning_rate": 0.00001, # reg->0.0001, shash2->.00005 or .00001
"batch_size": 64,
"rng_seed": 8889,
"seed": None,
"act_fun": ["relu", "relu"],
"n_epochs": 25_000,
"patience": 50,
},
"exp15C_370": {
"save_model": True,
"n_models": 10, # the number of networks to train
"ssp": "370", # [options: '126' or '370']
"gcmsub": "ALL", # [options: 'ALL' or 'UNIFORM'
"obsdata": "BEST", # [options: 'BEST' or 'GISTEMP'
"smooth": False,
"target_temp": 1.5,
"n_train_val_test": (7, 2, 1),
"baseline_yr_bounds": (1850, 1899),
"training_yr_bounds": (1970, 2100),
"anomaly_yr_bounds": (1951, 1980),
"remove_sh": False,
"anomalies": True, # [options: True or False]
"remove_map_mean": False, # [options: False or "weighted" or "raw"]
"network_type": 'shash2', # [options: "reg" or "shash2"]
"hiddens": [25, 25],
"dropout_rate": 0.,
"ridge_param": [10.0, 0.0],
"learning_rate": 0.00001, # reg->0.0001, shash2->.00005 or .00001
"batch_size": 64,
"rng_seed": 8889,
"seed": None,
"act_fun": ["relu", "relu"],
"n_epochs": 25_000,
"patience": 50,
},
"exp11C_126": {
"save_model": True,
"n_models": 10, # the number of networks to train
"ssp": "126", # [options: '126' or '370']
"gcmsub": "ALL", # [options: 'ALL' or 'UNIFORM'
"obsdata": "BEST", # [options: 'BEST' or 'GISTEMP'
"smooth": False,
"target_temp": 1.1,
"n_train_val_test": (7, 2, 1),
"baseline_yr_bounds": (1850, 1899),
"training_yr_bounds": (1970, 2100),
"anomaly_yr_bounds": (1951, 1980),
"remove_sh": False,
"anomalies": True, # [options: True or False]
"remove_map_mean": False, # [options: False or "weighted" or "raw"]
"network_type": 'shash2', # [options: "reg" or "shash2"]
"hiddens": [25, 25],
"dropout_rate": 0.,
"ridge_param": [10.0, 0.0],
"learning_rate": 0.00001, # reg->0.0001, shash2->.00005 or .00001
"batch_size": 64,
"rng_seed": 8889,
"seed": None,
"act_fun": ["relu", "relu"],
"n_epochs": 25_000,
"patience": 50,
},
"exp11C_370": {
"save_model": True,
"n_models": 10, # the number of networks to train
"ssp": "370", # [options: '126' or '370']
"gcmsub": "ALL", # [options: 'ALL' or 'UNIFORM'
"obsdata": "BEST", # [options: 'BEST' or 'GISTEMP'
"smooth": False,
"target_temp": 1.1,
"n_train_val_test": (7, 2, 1),
"baseline_yr_bounds": (1850, 1899),
"training_yr_bounds": (1970, 2100),
"anomaly_yr_bounds": (1951, 1980),
"remove_sh": False,
"anomalies": True, # [options: True or False]
"remove_map_mean": False, # [options: False or "weighted" or "raw"]
"network_type": 'shash2', # [options: "reg" or "shash2"]
"hiddens": [25, 25],
"dropout_rate": 0.,
"ridge_param": [10.0, 0.0],
"learning_rate": 0.00001, # reg->0.0001, shash2->.00005 or .00001
"batch_size": 64,
"rng_seed": 8889,
"seed": None,
"act_fun": ["relu", "relu"],
"n_epochs": 25_000,
"patience": 50,
},
"exp20C_370": {
"save_model": True,
"n_models": 10, # the number of networks to train
"ssp": "370", # [options: '126' or '370']
"gcmsub": "ALL", # [options: 'ALL' or 'UNIFORM'
"obsdata": "BEST", # [options: 'BEST' or 'GISTEMP'
"smooth": False,
"target_temp": 2.0,
"n_train_val_test": (7, 2, 1),
"baseline_yr_bounds": (1850, 1899),
"training_yr_bounds": (1970, 2100),
"anomaly_yr_bounds": (1951, 1980),
"remove_sh": False,
"anomalies": True, # [options: True or False]
"remove_map_mean": False, # [options: False or "weighted" or "raw"]
"network_type": 'shash2', # [options: "reg" or "shash2"]
"hiddens": [25, 25],
"dropout_rate": 0.,
"ridge_param": [10.0, 0.0],
"learning_rate": 0.00001, # reg->0.0001, shash2->.00005 or .00001
"batch_size": 64,
"rng_seed": 8889,
"seed": None,
"act_fun": ["relu", "relu"],
"n_epochs": 25_000,
"patience": 50,
},
"exp15C_126": {
"save_model": True,
"n_models": 10, # the number of networks to train
"ssp": "126", # [options: '126' or '370']
"gcmsub": "ALL", # [options: 'ALL' or 'UNIFORM'
"obsdata": "BEST", # [options: 'BEST' or 'GISTEMP'
"smooth": False,
"target_temp": 1.5,
"n_train_val_test": (7, 2, 1),
"baseline_yr_bounds": (1850, 1899),
"training_yr_bounds": (1970, 2100),
"anomaly_yr_bounds": (1951, 1980),
"remove_sh": False,
"anomalies": True, # [options: True or False]
"remove_map_mean": False, # [options: False or "weighted" or "raw"]
"network_type": 'shash2', # [options: "reg" or "shash2"]
"hiddens": [25, 25],
"dropout_rate": 0.,
"ridge_param": [10.0, 0.0],
"learning_rate": 0.00001, # reg->0.0001, shash2->.00005 or .00001
"batch_size": 64,
"rng_seed": 8889,
"seed": None,
"act_fun": ["relu", "relu"],
"n_epochs": 25_000,
"patience": 50,
},
"exp20C_126": {
"save_model": True,
"n_models": 10, # the number of networks to train
"ssp": "126", # [options: '126' or '370']
"gcmsub": "ALL", # [options: 'ALL' or 'UNIFORM'
"obsdata": "BEST", # [options: 'BEST' or 'GISTEMP'
"smooth": False,
"target_temp": 2.0,
"n_train_val_test": (7, 2, 1),
"baseline_yr_bounds": (1850, 1899),
"training_yr_bounds": (1970, 2100),
"anomaly_yr_bounds": (1951, 1980),
"remove_sh": False,
"anomalies": True, # [options: True or False]
"remove_map_mean": False, # [options: False or "weighted" or "raw"]
"network_type": 'shash2', # [options: "reg" or "shash2"]
"hiddens": [25, 25],
"dropout_rate": 0.,
"ridge_param": [10.0, 0.0],
"learning_rate": 0.00001, # reg->0.0001, shash2->.00005 or .00001
"batch_size": 64,
"rng_seed": 8889,
"seed": None,
"act_fun": ["relu", "relu"],
"n_epochs": 25_000,
"patience": 50,
},
# ---------------------- REVIEWER COMMENTS ---------------------------
"exp15C_126_smooth_nohigh10": {
"save_model": True,
"n_models": 3, # the number of networks to train
"ssp": "126", # [options: '126' or '370']
"gcmsub": "noHIGH10", # [options: 'ALL' or 'UNIFORM'
"obsdata": "BEST", # [options: 'BEST' or 'GISTEMP'
"smooth": True,
"target_temp": 1.5,
"n_train_val_test": (3, 1, 1),
"baseline_yr_bounds": (1850, 1899),
"training_yr_bounds": (1970, 2100),
"anomaly_yr_bounds": (1951, 1980),
"remove_sh": False,
"anomalies": True, # [options: True or False]
"remove_map_mean": False, # [options: False or "weighted" or "raw"]
"network_type": 'shash2', # [options: "reg" or "shash2"]
"hiddens": [25, 25],
"dropout_rate": 0.,
"ridge_param": [10.0, 0.0],
"learning_rate": 0.00001, # reg->0.0001, shash2->.00005 or .00001
"batch_size": 64,
"rng_seed": 8889,
"seed": None,
"act_fun": ["relu", "relu"],
"n_epochs": 25_000,
"patience": 50,
},
"exp15C_126_smooth_nohigh7": {
"save_model": True,
"n_models": 3, # the number of networks to train
"ssp": "126", # [options: '126' or '370']
"gcmsub": "noHIGH7", # [options: 'ALL' or 'UNIFORM'
"obsdata": "BEST", # [options: 'BEST' or 'GISTEMP'
"smooth": True,
"target_temp": 1.5,
"n_train_val_test": (3, 1, 1),
"baseline_yr_bounds": (1850, 1899),
"training_yr_bounds": (1970, 2100),
"anomaly_yr_bounds": (1951, 1980),
"remove_sh": False,
"anomalies": True, # [options: True or False]
"remove_map_mean": False, # [options: False or "weighted" or "raw"]
"network_type": 'shash2', # [options: "reg" or "shash2"]
"hiddens": [25, 25],
"dropout_rate": 0.,
"ridge_param": [10.0, 0.0],
"learning_rate": 0.00001, # reg->0.0001, shash2->.00005 or .00001
"batch_size": 64,
"rng_seed": 8889,
"seed": None,
"act_fun": ["relu", "relu"],
"n_epochs": 25_000,
"patience": 50,
},
"exp15C_126_smooth_nohigh5": {
"save_model": True,
"n_models": 3, # the number of networks to train
"ssp": "126", # [options: '126' or '370']
"gcmsub": "noHIGH5", # [options: 'ALL' or 'UNIFORM'
"obsdata": "BEST", # [options: 'BEST' or 'GISTEMP'
"smooth": True,
"target_temp": 1.5,
"n_train_val_test": (3, 1, 1),
"baseline_yr_bounds": (1850, 1899),
"training_yr_bounds": (1970, 2100),
"anomaly_yr_bounds": (1951, 1980),
"remove_sh": False,
"anomalies": True, # [options: True or False]
"remove_map_mean": False, # [options: False or "weighted" or "raw"]
"network_type": 'shash2', # [options: "reg" or "shash2"]
"hiddens": [25, 25],
"dropout_rate": 0.,
"ridge_param": [10.0, 0.0],
"learning_rate": 0.00001, # reg->0.0001, shash2->.00005 or .00001
"batch_size": 64,
"rng_seed": 8889,
"seed": None,
"act_fun": ["relu", "relu"],
"n_epochs": 25_000,
"patience": 50,
},
"exp15C_126_nohigh10": {
"save_model": True,
"n_models": 3, # the number of networks to train
"ssp": "126", # [options: '126' or '370']
"gcmsub": "noHIGH10", # [options: 'ALL' or 'UNIFORM'
"obsdata": "BEST", # [options: 'BEST' or 'GISTEMP'
"smooth": False,
"target_temp": 1.5,
"n_train_val_test": (3, 1, 1),
"baseline_yr_bounds": (1850, 1899),
"training_yr_bounds": (1970, 2100),
"anomaly_yr_bounds": (1951, 1980),
"remove_sh": False,
"anomalies": True, # [options: True or False]
"remove_map_mean": False, # [options: False or "weighted" or "raw"]
"network_type": 'shash2', # [options: "reg" or "shash2"]
"hiddens": [25, 25],
"dropout_rate": 0.,
"ridge_param": [10.0, 0.0],
"learning_rate": 0.00001, # reg->0.0001, shash2->.00005 or .00001
"batch_size": 64,
"rng_seed": 8889,
"seed": None,
"act_fun": ["relu", "relu"],
"n_epochs": 25_000,
"patience": 50,
},
"exp15C_126_nohigh7": {
"save_model": True,
"n_models": 3, # the number of networks to train
"ssp": "126", # [options: '126' or '370']
"gcmsub": "noHIGH7", # [options: 'ALL' or 'UNIFORM'
"obsdata": "BEST", # [options: 'BEST' or 'GISTEMP'
"smooth": False,
"target_temp": 1.5,
"n_train_val_test": (3, 1, 1),
"baseline_yr_bounds": (1850, 1899),
"training_yr_bounds": (1970, 2100),
"anomaly_yr_bounds": (1951, 1980),
"remove_sh": False,
"anomalies": True, # [options: True or False]
"remove_map_mean": False, # [options: False or "weighted" or "raw"]
"network_type": 'shash2', # [options: "reg" or "shash2"]
"hiddens": [25, 25],
"dropout_rate": 0.,
"ridge_param": [10.0, 0.0],
"learning_rate": 0.00001, # reg->0.0001, shash2->.00005 or .00001
"batch_size": 64,
"rng_seed": 8889,
"seed": None,
"act_fun": ["relu", "relu"],
"n_epochs": 25_000,
"patience": 50,
},
"exp15C_126_nohigh5": {
"save_model": True,
"n_models": 3, # the number of networks to train
"ssp": "126", # [options: '126' or '370']
"gcmsub": "noHIGH5", # [options: 'ALL' or 'UNIFORM'
"obsdata": "BEST", # [options: 'BEST' or 'GISTEMP'
"smooth": False,
"target_temp": 1.5,
"n_train_val_test": (3, 1, 1),
"baseline_yr_bounds": (1850, 1899),
"training_yr_bounds": (1970, 2100),
"anomaly_yr_bounds": (1951, 1980),
"remove_sh": False,
"anomalies": True, # [options: True or False]
"remove_map_mean": False, # [options: False or "weighted" or "raw"]
"network_type": 'shash2', # [options: "reg" or "shash2"]
"hiddens": [25, 25],
"dropout_rate": 0.,
"ridge_param": [10.0, 0.0],
"learning_rate": 0.00001, # reg->0.0001, shash2->.00005 or .00001
"batch_size": 64,
"rng_seed": 8889,
"seed": None,
"act_fun": ["relu", "relu"],
"n_epochs": 25_000,
"patience": 50,
},
"exp13C_126": {
"save_model": True,
"n_models": 10, # the number of networks to train
"ssp": "126", # [options: '126' or '370']
"gcmsub": "ALL", # [options: 'ALL' or 'UNIFORM'
"obsdata": "BEST", # [options: 'BEST' or 'GISTEMP'
"smooth": False,
"target_temp": 1.3,
"n_train_val_test": (7, 2, 1),
"baseline_yr_bounds": (1850, 1899),
"training_yr_bounds": (1970, 2100),
"anomaly_yr_bounds": (1951, 1980),
"remove_sh": False,
"anomalies": True, # [options: True or False]
"remove_map_mean": False, # [options: False or "weighted" or "raw"]
"network_type": 'shash2', # [options: "reg" or "shash2"]
"hiddens": [25, 25],
"dropout_rate": 0.,
"ridge_param": [10.0, 0.0],
"learning_rate": 0.00001, # reg->0.0001, shash2->.00005 or .00001
"batch_size": 64,
"rng_seed": 8889,
"seed": None,
"act_fun": ["relu", "relu"],
"n_epochs": 25_000,
"patience": 50,
},
"exp13C_370": {
"save_model": True,
"n_models": 10, # the number of networks to train
"ssp": "370", # [options: '126' or '370']
"gcmsub": "ALL", # [options: 'ALL' or 'UNIFORM'
"obsdata": "BEST", # [options: 'BEST' or 'GISTEMP'
"smooth": False,
"target_temp": 1.3,
"n_train_val_test": (7, 2, 1),
"baseline_yr_bounds": (1850, 1899),
"training_yr_bounds": (1970, 2100),
"anomaly_yr_bounds": (1951, 1980),
"remove_sh": False,
"anomalies": True, # [options: True or False]
"remove_map_mean": False, # [options: False or "weighted" or "raw"]
"network_type": 'shash2', # [options: "reg" or "shash2"]
"hiddens": [25, 25],
"dropout_rate": 0.,
"ridge_param": [10.0, 0.0],
"learning_rate": 0.00001, # reg->0.0001, shash2->.00005 or .00001
"batch_size": 64,
"rng_seed": 8889,
"seed": None,
"act_fun": ["relu", "relu"],
"n_epochs": 25_000,
"patience": 50,
},
"exp15C_370_smooth": {
"save_model": True,
"n_models": 10, # the number of networks to train
"ssp": "370", # [options: '126' or '370']
"gcmsub": "ALL", # [options: 'ALL' or 'UNIFORM'
"obsdata": "BEST", # [options: 'BEST' or 'GISTEMP'
"smooth": True,
"target_temp": 1.5,
"n_train_val_test": (7, 2, 1),
"baseline_yr_bounds": (1850, 1899),
"training_yr_bounds": (1970, 2100),
"anomaly_yr_bounds": (1951, 1980),
"remove_sh": False,
"anomalies": True, # [options: True or False]
"remove_map_mean": False, # [options: False or "weighted" or "raw"]
"network_type": 'shash2', # [options: "reg" or "shash2"]
"hiddens": [25, 25],
"dropout_rate": 0.,
"ridge_param": [10.0, 0.0],
"learning_rate": 0.00001, # reg->0.0001, shash2->.00005 or .00001
"batch_size": 64,
"rng_seed": 8889,
"seed": None,
"act_fun": ["relu", "relu"],
"n_epochs": 25_000,
"patience": 50,
},
# ---------------------- HYPERPARAMETER TUNING ---------------------------
"exp0": {
"save_model": True,
"n_models": 10, # the number of networks to train
"ssp": "370", # [options: '126' or '370']
"gcmsub": "ALL", # [options: 'ALL' or 'UNIFORM'
"obsdata": "BEST", # [options: 'BEST' or 'GISTEMP'
"smooth": False,
"target_temp": 1.5,
"n_train_val_test": (7, 2, 1),
"baseline_yr_bounds": (1850, 1899),
"training_yr_bounds": (1970, 2100),
"anomaly_yr_bounds": (1951, 1980),
"remove_sh": False,
"anomalies": True, # [options: True or False]
"remove_map_mean": False, # [options: False or "weighted" or "raw"]
"network_type": 'shash2', # [options: "reg" or "shash2"]
"hiddens": [10, 10],
"dropout_rate": 0.,
"ridge_param": [0., 0.0],
"learning_rate": 0.00001, # reg->0.0001, shash2->.00005 or .00001
"batch_size": 64,
"rng_seed": 8889,
"seed": None,
"act_fun": ["relu", "relu"],
"n_epochs": 25_000,
"patience": 50,
},
"exp1": {
"save_model": True,
"n_models": 10, # the number of networks to train
"ssp": "370", # [options: '126' or '370']
"gcmsub": "ALL", # [options: 'ALL' or 'UNIFORM'
"obsdata": "BEST", # [options: 'BEST' or 'GISTEMP'
"smooth": False,
"target_temp": 1.5,
"n_train_val_test": (7, 2, 1),
"baseline_yr_bounds": (1850, 1899),
"training_yr_bounds": (1970, 2100),
"anomaly_yr_bounds": (1951, 1980),
"remove_sh": False,
"anomalies": True, # [options: True or False]
"remove_map_mean": False, # [options: False or "weighted" or "raw"]
"network_type": 'shash2', # [options: "reg" or "shash2"]
"hiddens": [10, 10],
"dropout_rate": 0.,
"ridge_param": [.1, 0.0],
"learning_rate": 0.00001, # reg->0.0001, shash2->.00005 or .00001
"batch_size": 64,
"rng_seed": 8889,
"seed": None,
"act_fun": ["relu", "relu"],
"n_epochs": 25_000,
"patience": 50,
},
"exp2": {
"save_model": True,
"n_models": 10, # the number of networks to train
"ssp": "370", # [options: '126' or '370']
"gcmsub": "ALL", # [options: 'ALL' or 'UNIFORM'
"obsdata": "BEST", # [options: 'BEST' or 'GISTEMP'
"smooth": False,
"target_temp": 1.5,
"n_train_val_test": (7, 2, 1),
"baseline_yr_bounds": (1850, 1899),
"training_yr_bounds": (1970, 2100),
"anomaly_yr_bounds": (1951, 1980),
"remove_sh": False,
"anomalies": True, # [options: True or False]
"remove_map_mean": False, # [options: False or "weighted" or "raw"]
"network_type": 'shash2', # [options: "reg" or "shash2"]
"hiddens": [10, 10],
"dropout_rate": 0.,
"ridge_param": [1., 0.0],
"learning_rate": 0.00001, # reg->0.0001, shash2->.00005 or .00001
"batch_size": 64,
"rng_seed": 8889,
"seed": None,
"act_fun": ["relu", "relu"],
"n_epochs": 25_000,
"patience": 50,
},
"exp3": {
"save_model": True,
"n_models": 10, # the number of networks to train
"ssp": "370", # [options: '126' or '370']
"gcmsub": "ALL", # [options: 'ALL' or 'UNIFORM'
"obsdata": "BEST", # [options: 'BEST' or 'GISTEMP'
"smooth": False,
"target_temp": 1.5,
"n_train_val_test": (7, 2, 1),
"baseline_yr_bounds": (1850, 1899),
"training_yr_bounds": (1970, 2100),
"anomaly_yr_bounds": (1951, 1980),
"remove_sh": False,
"anomalies": True, # [options: True or False]
"remove_map_mean": False, # [options: False or "weighted" or "raw"]
"network_type": 'shash2', # [options: "reg" or "shash2"]
"hiddens": [10, 10],
"dropout_rate": 0.,
"ridge_param": [100., 0.0],
"learning_rate": 0.00001, # reg->0.0001, shash2->.00005 or .00001
"batch_size": 64,
"rng_seed": 8889,
"seed": None,
"act_fun": ["relu", "relu"],
"n_epochs": 25_000,
"patience": 50,
},
"exp4": {
"save_model": True,
"n_models": 10, # the number of networks to train
"ssp": "370", # [options: '126' or '370']
"gcmsub": "ALL", # [options: 'ALL' or 'UNIFORM'
"obsdata": "BEST", # [options: 'BEST' or 'GISTEMP'
"smooth": False,
"target_temp": 1.5,
"n_train_val_test": (7, 2, 1),
"baseline_yr_bounds": (1850, 1899),
"training_yr_bounds": (1970, 2100),
"anomaly_yr_bounds": (1951, 1980),
"remove_sh": False,
"anomalies": True, # [options: True or False]
"remove_map_mean": False, # [options: False or "weighted" or "raw"]
"network_type": 'shash2', # [options: "reg" or "shash2"]
"hiddens": [10, 10],
"dropout_rate": 0.,
"ridge_param": [5., 0.0],
"learning_rate": 0.00001, # reg->0.0001, shash2->.00005 or .00001
"batch_size": 64,
"rng_seed": 8889,
"seed": None,
"act_fun": ["relu", "relu"],
"n_epochs": 25_000,
"patience": 50,
},
"exp5": {
"save_model": True,
"n_models": 10, # the number of networks to train
"ssp": "370", # [options: '126' or '370']
"gcmsub": "ALL", # [options: 'ALL' or 'UNIFORM'
"obsdata": "BEST", # [options: 'BEST' or 'GISTEMP'
"smooth": False,
"target_temp": 1.5,
"n_train_val_test": (7, 2, 1),
"baseline_yr_bounds": (1850, 1899),
"training_yr_bounds": (1970, 2100),
"anomaly_yr_bounds": (1951, 1980),
"remove_sh": False,
"anomalies": True, # [options: True or False]
"remove_map_mean": False, # [options: False or "weighted" or "raw"]
"network_type": 'shash2', # [options: "reg" or "shash2"]
"hiddens": [10, 10],
"dropout_rate": 0.,
"ridge_param": [10., 0.0],
"learning_rate": 0.00001, # reg->0.0001, shash2->.00005 or .00001
"batch_size": 64,
"rng_seed": 8889,
"seed": None,
"act_fun": ["relu", "relu"],
"n_epochs": 25_000,
"patience": 50,
},
"exp10": {
"save_model": True,
"n_models": 10, # the number of networks to train
"ssp": "370", # [options: '126' or '370']
"gcmsub": "ALL", # [options: 'ALL' or 'UNIFORM'
"obsdata": "BEST", # [options: 'BEST' or 'GISTEMP'
"smooth": False,
"target_temp": 1.5,
"n_train_val_test": (7, 2, 1),
"baseline_yr_bounds": (1850, 1899),
"training_yr_bounds": (1970, 2100),
"anomaly_yr_bounds": (1951, 1980),
"remove_sh": False,
"anomalies": True, # [options: True or False]
"remove_map_mean": False, # [options: False or "weighted" or "raw"]
"network_type": 'shash2', # [options: "reg" or "shash2"]
"hiddens": [10],
"dropout_rate": 0.,
"ridge_param": [10., 0.0],
"learning_rate": 0.00001, # reg->0.0001, shash2->.00005 or .00001
"batch_size": 64,
"rng_seed": 8889,
"seed": None,
"act_fun": ["relu"],
"n_epochs": 25_000,
"patience": 50,
},
"exp11": {
"save_model": True,
"n_models": 10, # the number of networks to train
"ssp": "370", # [options: '126' or '370']
"gcmsub": "ALL", # [options: 'ALL' or 'UNIFORM'
"obsdata": "BEST", # [options: 'BEST' or 'GISTEMP'
"smooth": False,
"target_temp": 1.5,
"n_train_val_test": (7, 2, 1),
"baseline_yr_bounds": (1850, 1899),
"training_yr_bounds": (1970, 2100),
"anomaly_yr_bounds": (1951, 1980),
"remove_sh": False,
"anomalies": True, # [options: True or False]
"remove_map_mean": False, # [options: False or "weighted" or "raw"]
"network_type": 'shash2', # [options: "reg" or "shash2"]
"hiddens": [5, 5],
"dropout_rate": 0.,
"ridge_param": [10., 0.0],
"learning_rate": 0.00001, # reg->0.0001, shash2->.00005 or .00001
"batch_size": 64,
"rng_seed": 8889,
"seed": None,
"act_fun": ["relu", "relu"],
"n_epochs": 25_000,
"patience": 50,
},
"exp12": {
"save_model": True,
"n_models": 10, # the number of networks to train
"ssp": "370", # [options: '126' or '370']
"gcmsub": "ALL", # [options: 'ALL' or 'UNIFORM'
"obsdata": "BEST", # [options: 'BEST' or 'GISTEMP'
"smooth": False,
"target_temp": 1.5,
"n_train_val_test": (7, 2, 1),
"baseline_yr_bounds": (1850, 1899),
"training_yr_bounds": (1970, 2100),
"anomaly_yr_bounds": (1951, 1980),
"remove_sh": False,
"anomalies": True, # [options: True or False]
"remove_map_mean": False, # [options: False or "weighted" or "raw"]
"network_type": 'shash2', # [options: "reg" or "shash2"]
"hiddens": [25, 25],
"dropout_rate": 0.,
"ridge_param": [10., 0.0],
"learning_rate": 0.00001, # reg->0.0001, shash2->.00005 or .00001
"batch_size": 64,
"rng_seed": 8889,
"seed": None,
"act_fun": ["relu", "relu"],
"n_epochs": 25_000,
"patience": 50,
},
"exp13": {
"save_model": True,
"n_models": 10, # the number of networks to train
"ssp": "370", # [options: '126' or '370']
"gcmsub": "ALL", # [options: 'ALL' or 'UNIFORM'
"obsdata": "BEST", # [options: 'BEST' or 'GISTEMP'
"smooth": False,
"target_temp": 1.5,
"n_train_val_test": (7, 2, 1),
"baseline_yr_bounds": (1850, 1899),
"training_yr_bounds": (1970, 2100),
"anomaly_yr_bounds": (1951, 1980),
"remove_sh": False,
"anomalies": True, # [options: True or False]
"remove_map_mean": False, # [options: False or "weighted" or "raw"]
"network_type": 'shash2', # [options: "reg" or "shash2"]
"hiddens": [2],
"dropout_rate": 0.,
"ridge_param": [10., 0.0],
"learning_rate": 0.00001, # reg->0.0001, shash2->.00005 or .00001
"batch_size": 64,
"rng_seed": 8889,
"seed": None,
"act_fun": ["linear"],
"n_epochs": 25_000,
"patience": 50,
},
"exp14": {
"save_model": True,
"n_models": 10, # the number of networks to train
"ssp": "370", # [options: '126' or '370']
"gcmsub": "ALL", # [options: 'ALL' or 'UNIFORM'
"obsdata": "BEST", # [options: 'BEST' or 'GISTEMP'
"smooth": False,
"target_temp": 1.5,
"n_train_val_test": (7, 2, 1),
"baseline_yr_bounds": (1850, 1899),
"training_yr_bounds": (1970, 2100),
"anomaly_yr_bounds": (1951, 1980),
"remove_sh": False,
"anomalies": True, # [options: True or False]
"remove_map_mean": False, # [options: False or "weighted" or "raw"]
"network_type": 'shash2', # [options: "reg" or "shash2"]
"hiddens": [100, 100],
"dropout_rate": 0.,
"ridge_param": [10., 0.0],
"learning_rate": 0.00001, # reg->0.0001, shash2->.00005 or .00001
"batch_size": 64,
"rng_seed": 8889,
"seed": None,
"act_fun": ["relu", "relu"],
"n_epochs": 25_000,
"patience": 50,
},
"exp20": {
"save_model": True,
"n_models": 10, # the number of networks to train
"ssp": "370", # [options: '126' or '370']
"gcmsub": "ALL", # [options: 'ALL' or 'UNIFORM'
"obsdata": "BEST", # [options: 'BEST' or 'GISTEMP'
"smooth": False,
"target_temp": 1.5,
"n_train_val_test": (7, 2, 1),
"baseline_yr_bounds": (1850, 1899),
"training_yr_bounds": (1970, 2100),
"anomaly_yr_bounds": (1951, 1980),
"remove_sh": False,
"anomalies": True, # [options: True or False]
"remove_map_mean": False, # [options: False or "weighted" or "raw"]
"network_type": 'shash2', # [options: "reg" or "shash2"]
"hiddens": [10],
"dropout_rate": 0.,
"ridge_param": [5., 0.0],
"learning_rate": 0.00001, # reg->0.0001, shash2->.00005 or .00001
"batch_size": 64,
"rng_seed": 8889,
"seed": None,
"act_fun": ["relu"],
"n_epochs": 25_000,
"patience": 50,
},
"exp21": {
"save_model": True,
"n_models": 10, # the number of networks to train
"ssp": "370", # [options: '126' or '370']
"gcmsub": "ALL", # [options: 'ALL' or 'UNIFORM'
"obsdata": "BEST", # [options: 'BEST' or 'GISTEMP'
"smooth": False,
"target_temp": 1.5,
"n_train_val_test": (7, 2, 1),
"baseline_yr_bounds": (1850, 1899),
"training_yr_bounds": (1970, 2100),
"anomaly_yr_bounds": (1951, 1980),
"remove_sh": False,
"anomalies": True, # [options: True or False]
"remove_map_mean": False, # [options: False or "weighted" or "raw"]
"network_type": 'shash2', # [options: "reg" or "shash2"]
"hiddens": [5, 5],
"dropout_rate": 0.,
"ridge_param": [5., 0.0],
"learning_rate": 0.00001, # reg->0.0001, shash2->.00005 or .00001
"batch_size": 64,
"rng_seed": 8889,
"seed": None,
"act_fun": ["relu", "relu"],
"n_epochs": 25_000,
"patience": 50,
},
"exp22": {
"save_model": True,
"n_models": 10, # the number of networks to train
"ssp": "370", # [options: '126' or '370']
"gcmsub": "ALL", # [options: 'ALL' or 'UNIFORM'
"obsdata": "BEST", # [options: 'BEST' or 'GISTEMP'
"smooth": False,
"target_temp": 1.5,
"n_train_val_test": (7, 2, 1),
"baseline_yr_bounds": (1850, 1899),
"training_yr_bounds": (1970, 2100),
"anomaly_yr_bounds": (1951, 1980),
"remove_sh": False,
"anomalies": True, # [options: True or False]
"remove_map_mean": False, # [options: False or "weighted" or "raw"]
"network_type": 'shash2', # [options: "reg" or "shash2"]
"hiddens": [25, 25],
"dropout_rate": 0.,
"ridge_param": [5., 0.0],
"learning_rate": 0.00001, # reg->0.0001, shash2->.00005 or .00001
"batch_size": 64,
"rng_seed": 8889,
"seed": None,
"act_fun": ["relu", "relu"],
"n_epochs": 25_000,
"patience": 50,
},
"exp23": {
"save_model": True,
"n_models": 10, # the number of networks to train
"ssp": "370", # [options: '126' or '370']
"gcmsub": "ALL", # [options: 'ALL' or 'UNIFORM'
"obsdata": "BEST", # [options: 'BEST' or 'GISTEMP'
"smooth": False,
"target_temp": 1.5,
"n_train_val_test": (7, 2, 1),
"baseline_yr_bounds": (1850, 1899),
"training_yr_bounds": (1970, 2100),
"anomaly_yr_bounds": (1951, 1980),
"remove_sh": False,
"anomalies": True, # [options: True or False]
"remove_map_mean": False, # [options: False or "weighted" or "raw"]
"network_type": 'shash2', # [options: "reg" or "shash2"]
"hiddens": [2],
"dropout_rate": 0.,
"ridge_param": [5., 0.0],
"learning_rate": 0.00001, # reg->0.0001, shash2->.00005 or .00001
"batch_size": 64,
"rng_seed": 8889,
"seed": None,
"act_fun": ["linear"],
"n_epochs": 25_000,
"patience": 50,
},
"exp30": {
"save_model": True,
"n_models": 10, # the number of networks to train
"ssp": "370", # [options: '126' or '370']
"gcmsub": "ALL", # [options: 'ALL' or 'UNIFORM'
"obsdata": "BEST", # [options: 'BEST' or 'GISTEMP'
"smooth": False,
"target_temp": 1.5,
"n_train_val_test": (7, 2, 1),
"baseline_yr_bounds": (1850, 1899),
"training_yr_bounds": (1970, 2100),
"anomaly_yr_bounds": (1951, 1980),
"remove_sh": False,
"anomalies": True, # [options: True or False]
"remove_map_mean": False, # [options: False or "weighted" or "raw"]
"network_type": 'shash2', # [options: "reg" or "shash2"]
"hiddens": [25, 25],
"dropout_rate": 0.,
"ridge_param": [0., 0.0],
"learning_rate": 0.00001, # reg->0.0001, shash2->.00005 or .00001
"batch_size": 64,
"rng_seed": 8889,
"seed": None,
"act_fun": ["relu", "relu"],
"n_epochs": 25_000,
"patience": 50,
},
"exp31": {
"save_model": True,
"n_models": 10, # the number of networks to train
"ssp": "370", # [options: '126' or '370']
"gcmsub": "ALL", # [options: 'ALL' or 'UNIFORM'
"obsdata": "BEST", # [options: 'BEST' or 'GISTEMP'
"smooth": False,
"target_temp": 1.5,
"n_train_val_test": (7, 2, 1),
"baseline_yr_bounds": (1850, 1899),
"training_yr_bounds": (1970, 2100),
"anomaly_yr_bounds": (1951, 1980),
"remove_sh": False,
"anomalies": True, # [options: True or False]
"remove_map_mean": False, # [options: False or "weighted" or "raw"]
"network_type": 'shash2', # [options: "reg" or "shash2"]