def path(self): elt = self._edge_length_threshold es = 'base' if elt is None else str(elt) return get_inference_path('meshes', es, '%s.hdf5' % self._model_id)
def path(self): elt = self._edge_length_threshold es = 'base' if elt is None else str(elt) return get_inference_path('meshes', es, '%s.hdf5' % self._model_id)
def get_predictions_data_path(model_id): return get_inference_path('predictions', '%s.hdf5' % model_id)
def path(self): return get_inference_path('cloud', 'presampled', str(self._n_samples), '%s.hdf5' % self._model_id)
def path(self): return get_inference_path('cloud', 'postsampled', str(self._n_samples), str(self._edge_length_threshold), '%s.hdf5' % self._model_id)
def path(self): return get_inference_path( 'cloud', 'presampled', str(self._n_samples), '%s.hdf5' % self._model_id)
def path(self): return get_inference_path( 'cloud', 'postsampled', str(self._n_samples), str(self._edge_length_threshold), '%s.hdf5' % self._model_id)