anypinn.cli.scaffold.seir.config_csv

SEIR epidemic model — training configuration.

EXPERIMENT_NAME = '__EXPERIMENT_NAME__' module-attribute

RUN_NAME = 'v0' module-attribute

hp = ODEHyperparameters(lr=0.0005, max_epochs=2000, gradient_clip_val=0.1, training_data=(IngestionConfig(batch_size=100, data_ratio=2, collocations=6000, df_path=(Path('./data/data.csv')), y_columns=['I_obs'])), fields_config=(MLPConfig(in_dim=1, out_dim=1, hidden_layers=[64, 128, 128, 64], activation='tanh', output_activation='softplus')), params_config=(MLPConfig(in_dim=1, out_dim=1, hidden_layers=[64, 128, 128, 64], activation='tanh', output_activation='softplus')), scheduler=(ReduceLROnPlateauConfig(mode='min', factor=0.5, patience=55, threshold=0.005, min_lr=1e-06)), pde_weight=1, ic_weight=1, data_weight=1) module-attribute