Welcome to GNNWR’s documentation!

Contents:

• gnnwr.datasets module
  • BasicDistance()
  • Manhattan_distance()
  • baseDataset
    • baseDataset.getScaledDataframe()
    • baseDataset.read()
    • baseDataset.rescale()
    • baseDataset.save()
    • baseDataset.scale()
    • baseDataset.scale2()
  • init_dataset()
  • init_dataset_cv()
  • init_predict_dataset()
  • load_dataset()
  • predictDataset
    • predictDataset.minmax_scaler()
    • predictDataset.rescale()
    • predictDataset.standard_scaler()
• gnnwr.models module
  • GNNWR
    • GNNWR.add_graph()
    • GNNWR.getLoss()
    • GNNWR.getWeights()
    • GNNWR.gpumodel_to_cpu()
    • GNNWR.init_optimizer()
    • GNNWR.load_model()
    • GNNWR.predict()
    • GNNWR.predict_weight()
    • GNNWR.reg_result()
    • GNNWR.result()
    • GNNWR.run()
  • GTNNWR
• gnnwr.networks module
  • STNN_SPNN
    • STNN_SPNN.forward()
  • STPNN
    • STPNN.forward()
  • SWNN
    • SWNN.forward()
  • default_dense_layer()
  • weight_share()
• gnnwr.utils module
  • DIAGNOSIS
    • DIAGNOSIS.AIC()
    • DIAGNOSIS.AICc()
    • DIAGNOSIS.Adjust_R2()
    • DIAGNOSIS.F1_GNN()
    • DIAGNOSIS.R2()
    • DIAGNOSIS.RMSE()
    • DIAGNOSIS.hat()
  • OLS
  • Visualize
    • Visualize.display_dataset()
    • Visualize.dot_map()
    • Visualize.weights_heatmap()

Indices and tables

• Index

• Module Index

• Search Page