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Fix bugs for models.
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@@ -238,7 +238,7 @@ class TSDataSampler:
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self.start_idx, self.end_idx = self.data.index.slice_locs(start=pd.Timestamp(start), end=pd.Timestamp(end))
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# self.index_link = self.build_link(self.data)
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self.idx_df, self.idx_map = self.build_index(self.data)
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self.idx_arr = np.array(self.idx_df.values, dtype=np.float64) # for better performance
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self.idx_arr = np.array(self.idx_df.values, dtype=np.float64) # for better performance
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def get_index(self):
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"""
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@@ -368,7 +368,6 @@ class TSDataSampler:
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else:
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indices = self._get_indices(*self._get_row_col(idx))
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# 1) for better performance, use the last nan line for padding the lost date
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# 2) In case of precision problems. We use np.float64. # TODO: I'm not sure if whether np.float64 will result in
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# precision problems. It will not cause any problems in my tests at least
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