cdsnlab / ammasi

AMMASI

Areal embedding based Masked Multihead Attention-based Spatial Interpolation for House Price Prediction

Improved on top of ASI [Viana2021].

Dataset

Original data is uploaded in ASI.

Experimental Result of AMMASI

Results of ASI

• ASI with HA is the result from [Viana2021]
• ASI with HA+P is the result recorded in notebooks/{dname}/Training-norm.ipynb

※ The file name 'norm' has nothing to do with poi. Sorry for confusion.

In asi_norm/input_dataset.py (line 49):

    def __call__(self):

        assert isinstance(self.id_dataset, object)

        data = np.load(PATH + '/datasets/'+ self.id_dataset + '/data_poi.npz', allow_pickle=True)

Results of AMMASI

• Full results are reported in mycode/prediction/make_table-AMMASI.ipynb
• You can also check mycode/test_logs for the full experiment logs.
• You can also refer to ablation study (Fig.5).

Parameter and Ablation Test

References

[Viana2021] Viana, Darniton, and Luciano Barbosa. "Attention-based spatial interpolation for house price prediction." Proceedings of the 29th International Conference on Advances in Geographic Information Systems. 2021.