anypinn.cli.scaffold.allen_cahn.config_csv

Allen-Cahn Equation — training configuration (CSV).

EXPERIMENT_NAME = '__EXPERIMENT_NAME__' module-attribute

RUN_NAME = 'v0' module-attribute

hp = PINNHyperparameters(lr=0.001, max_epochs=3000, gradient_clip_val=0.5, criterion='huber', training_data=(IngestionConfig(batch_size=128, data_ratio=2, collocations=10000, collocation_sampler='adaptive', df_path=(Path('./data/data.csv')), y_columns=['u'])), fields_config=(MLPConfig(in_dim=256, out_dim=1, hidden_layers=[64, 128, 128, 64], activation='tanh', output_activation=None)), params_config=(ScalarConfig(init_value=0.0)), scheduler=(ReduceLROnPlateauConfig(mode='min', factor=0.5, patience=200, threshold=0.0001, min_lr=1e-06))) module-attribute