Python TimeSeriesDataset.tensor_to_dataframe Beispiele

Beispiel #1

Datei: over_time.py Projekt: chenruiqing/torch-kalman

 def _tensor_to_df(tens, measures):
     times = dt_helper.make_grid(batch_info['start_times'],
                                 tens.shape[1])
     return TimeSeriesDataset.tensor_to_dataframe(
         tensor=tens,
         times=times,
         group_names=batch_info['group_names'],
         group_colname=group_colname,
         time_colname=time_colname,
         measures=measures)

Beispiel #2

 def _tensor_to_df(tens, measures):
     times = batch_info.get('times', batch_info['start_times'][:, None] + np.arange(0, tens.shape[1]))
     return TimeSeriesDataset.tensor_to_dataframe(
         tensor=tens,
         times=times,
         group_names=batch_info['group_names'],
         group_colname=group_colname,
         time_colname=time_colname,
         measures=measures
     )

Beispiel #3

        def _tensor_to_df(tens, measures):
            offsets = np.arange(0, tens.shape[1]) * (
                batch_info['dt_unit'] if batch_info['dt_unit'] else 1)
            times = batch_info['start_times'][:, None] + offsets

            return TimeSeriesDataset.tensor_to_dataframe(
                tensor=tens,
                times=times,
                group_names=batch_info['group_names'],
                group_colname=group_colname,
                time_colname=time_colname,
                measures=measures)