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@@ -35,7 +35,7 @@ class Dataset(Serializable):
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def config(self, *arg, **kwargs):
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"""
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config is designed to configure and parameters that cannot be learned from the data
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config is designed to configure and parameters that cannot be learned from the data
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"""
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super().config(*arg, **kwargs)
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@@ -117,7 +117,7 @@ class DatasetH(Dataset):
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self.segments = segments.copy()
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super().__init__(**kwargs)
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def config(self, handler_kwargs:dict = None, segments:dict = None, **kwargs):
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def config(self, handler_kwargs: dict = None, segments: dict = None, **kwargs):
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"""
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Initialize the DatasetH
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@@ -130,7 +130,7 @@ class DatasetH(Dataset):
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kwargs : dict
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Config of DatasetH, such as
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- segments : dict
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Config of segments which is same as 'segments' in self.__init__
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@@ -141,8 +141,6 @@ class DatasetH(Dataset):
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if segments is not None:
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self.segments = segments.copy()
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def setup_data(self, handler_kwargs: dict = None, **kwargs):
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"""
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Setup the Data
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@@ -151,16 +149,15 @@ class DatasetH(Dataset):
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----------
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handler_kwargs : dict
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init arguments of DataHanlder, which could include the following arguments:
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- init_type : Init Type of Handler
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- enable_cache : wheter to enable cache
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"""
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super().setup_data(**kwargs)
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if handler_kwargs is not None:
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self.handler.setup_data(**handler_kwargs)
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def __repr__(self):
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return "{name}(handler={handler}, segments={segments})".format(
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@@ -464,7 +461,6 @@ class TSDatasetH(DatasetH):
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cal = self.handler.fetch(col_set=self.handler.CS_RAW).index.get_level_values("datetime").unique()
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cal = sorted(cal)
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self.cal = cal
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def _prepare_seg(self, slc: slice, **kwargs) -> TSDataSampler:
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# Dataset decide how to slice data(Get more data for timeseries).
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