anypinn.cli.scaffold.custom.config_csv

Custom ODE — training configuration.

EXPERIMENT_NAME = '__EXPERIMENT_NAME__' module-attribute

RUN_NAME = 'v0' module-attribute

hp = ODEHyperparameters(lr=0.001, 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=['y_obs'])), fields_config=(MLPConfig(in_dim=1, out_dim=1, hidden_layers=[64, 128, 128, 64], activation='tanh', output_activation=None)), params_config=(ScalarConfig(init_value=0.5)), 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