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## etna_v2 #1118 +/- ##
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@@ -138,7 +139,7 @@ def test_forecast_one_step(example_tsds): | |||
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# make predictions in AutoRegressivePipeline | |||
model = LinearPerSegmentModel() | |||
transforms = [LagTransform(in_column="target", lags=[1])] | |||
transforms = [AddConstTransform(in_column="target", value=10), LagTransform(in_column="target", lags=[1])] |
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Why are we going to make this change?
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Ok, understood.
@@ -145,7 +145,7 @@ def _forecast(self) -> TSDataset: | |||
self.model = cast(ContextIgnorantModelType, self.model) | |||
current_ts_forecast = current_ts.make_future(future_steps=current_step, transforms=self.transforms) | |||
current_ts_future = self.model.forecast(ts=current_ts_forecast) | |||
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current_ts_future.inverse_transform(self.transforms) |
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Why are we going to make this change?
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Ok, understood.
Before submitting (must do checklist)
Proposed Changes
AutoregressivePipeline
-- noinverse_transform
of model's forecastClosing issues