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  • aeon/anomaly_detection/series/distance_based

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aeon/anomaly_detection/series/distance_based/_rockad.py

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@@ -1,5 +1,6 @@
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"""ROCKAD anomaly detector."""
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__maintainer__ = []
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__all__ = ["ROCKAD"]
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import warnings
@@ -113,7 +114,6 @@ def __init__(
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n_jobs=1,
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random_state=42,
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):
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self.n_estimators = n_estimators
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self.n_kernels = n_kernels
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self.normalise = normalise
@@ -163,7 +163,6 @@ def _check_params(self, X: np.ndarray) -> None:
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)
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def _inner_fit(self, X: np.ndarray) -> None:
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self.rocket_transformer_ = Rocket(
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n_kernels=self.n_kernels,
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normalise=self.normalise,
@@ -216,7 +215,6 @@ def _inner_fit(self, X: np.ndarray) -> None:
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self.list_baggers_.append(estimator)
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def _predict(self, X) -> np.ndarray:
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_X, padding = sliding_windows(
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X, window_size=self.window_size, stride=self.stride, axis=0
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)

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