Transformer
TruncationTransformer
Truncates unequal length panels between lower/upper length ranges.
Truncates each series in transform to iloc between integers lower (inclusive) and upper (exclusive).
If lower is None, it is set to 0.
If upper is None, it is set to the length of the shortest series in the panel passed to fit.
Schnellstart
python
from sktime.transformations.truncation import TruncationTransformer
estimator = TruncationTransformer(lower=None, upper=None)Tags
Fähigkeiten
- Multivariat
- Reihen ungleicher Länge
- Gleicht Reihenlängen an: Unterstützt
- Inverse Transformation: Nicht unterstützt
- Fehlende Werte: Nicht unterstützt
- Entfernt fehlende Werte: Nicht unterstützt
Eigenschaften
- Eingabetypscitype:transform-input
- Series
- Ausgabetypscitype:transform-output
- Series
- Label-Typscitype:transform-labels
- None
- Fit ist leerfit_is_empty
- Nein
- Behält den Zeitindextransform-returns-same-time-index
- Nein
- Benötigt Xrequires_X
- Ja
- Benötigt yrequires_y
- Nein
- X und y brauchen denselben IndexX-y-must-have-same-index
- Nein
Parameter(2)
- lowerint, optional (default=None) minimum length, inclusive
- If None, will find the length of the shortest series and use instead.
- upperint, optional (default=None) maximum length, exclusive
- Cannot be less than the length of the shortest series in the panel. This is used to calculate the range between. If None, will find the length of the shortest series and use instead.
Beispiele
Truncate only unequal length panels in data:
>>> from sktime.transformations.truncation import TruncationTransformer
>>> from sktime.utils._testing.hierarchical import _make_hierarchical
>>> X = _make_hierarchical(same_cutoff=False)
>>> tt = TruncationTransformer()
>>> tt.fit(X) TruncationTransformer(…)
>>> X_transformed = tt.transform(X) Truncate each panel to first 5 elements:
>>> from sktime.transformations.truncation import TruncationTransformer
>>> from sktime.utils._testing.hierarchical import _make_hierarchical
>>> X = _make_hierarchical(same_cutoff=False)
>>> tt = TruncationTransformer(upper=5)
>>> tt.fit(X) TruncationTransformer(…)
>>> X_transformed = tt.transform(X) Pick range from index 1 (inclusively) to 3 (exclusively):
>>> from sktime.transformations.truncation import TruncationTransformer
>>> from sktime.utils._testing.hierarchical import _make_hierarchical
>>> X = _make_hierarchical(same_cutoff=False)
>>> tt = TruncationTransformer(lower=1, upper=3)
>>> tt.fit(X) TruncationTransformer(…)
>>> X_transformed = tt.transform(X)