anypinn.cli.scaffold.lotka_volterra.config_synthetic

Lotka-Volterra predator-prey — training configuration.

EXPERIMENT_NAME = '__EXPERIMENT_NAME__' module-attribute

RUN_NAME = 'v0' module-attribute

hp = ODEHyperparameters(lr=0.001, max_epochs=5000, gradient_clip_val=1.0, training_data=(GenerationConfig(batch_size=100, data_ratio=2, collocations=10000, x=(torch.linspace(start=0, end=50, steps=200)), args_to_train={}, noise_level=0)), fields_config=(MLPConfig(in_dim=7, out_dim=1, hidden_layers=[64, 64, 64, 64, 64, 64], activation='tanh', output_activation=None, encode=fourier_encode)), params_config=(ScalarConfig(init_value=0.05)), scheduler=(ReduceLROnPlateauConfig(mode='min', factor=0.5, patience=200, threshold=0.0001, min_lr=1e-05)), pde_weight=1.0, ic_weight=10, data_weight=1.0) module-attribute