pyopmnearwell.ml package

Submodules

• pyopmnearwell.ml.analysis module
  • sensitivity_analysis()
  • plot_analysis()
• pyopmnearwell.ml.ensemble module
  • create_ensemble()
  • memory_efficient_sample()
  • setup_ensemble()
  • get_flags()
  • run_ensemble()
  • calculate_radii()
  • calculate_WI()
  • extract_features()
  • integrate_fine_scale_value()
  • store_dataset()
• pyopmnearwell.ml.integration module
  • recompile_flow()
  • run_integration()
• pyopmnearwell.ml.kerasify module
  • write_dense()
  • write_convolution2d()
  • write_lstm()
  • write_floats()
  • export_model()
• pyopmnearwell.ml.nn module
  • ArrayLike
  • get_FCNN()
  • get_RNN()
  • get_GRU()
  • get_LSTM()
  • scale_and_prepare_dataset()
  • train()
  • build_model()
  • tune()
  • save_tune_results()
  • scale_and_evaluate()
  • handle_zeros_in_scale()
• pyopmnearwell.ml.resdata_dataset module
  • ResDataSet
    • features
    • targets
    • read_data()
    • ResdataFile_to_datapoint()
    • on_epoch_end()
  • main()
• pyopmnearwell.ml.scaler_layers module
  • ScalerLayer
    • min
    • scalar
    • build()
    • get_weights()
    • set_weights()
    • adapt()
    • _adapt()
    • is_adapted
    • feature_range
    • data_min
    • data_max
  • MinMaxScalerLayer
    • name
    • call()
    • compute_output_shape()
    • get_config()
    • from_config()
  • MinMaxUnScalerLayer
    • _name
    • call()
    • compute_output_shape()
    • get_config()
    • from_config()
• pyopmnearwell.ml.upscale module
  • Upscaler
    • num_timesteps
    • num_layers
    • num_zcells
    • num_xcells
    • single_feature_shape
    • angle
    • _abc_impl
    • _is_protocol
  • BaseUpscaler
    • create_ds()
    • reduce_data_size()
    • get_vertically_averaged_values()
    • get_radii()
    • get_timesteps()
    • get_horizontically_integrated_values()
    • get_homogeneous_values()
    • get_analytical_PI()
    • get_analytical_WI()
    • get_data_WI()
    • _abc_impl
• pyopmnearwell.ml.utils module
  • enable_determinism()

Module contents