Transformer
PandasTransformAdaptor
Adapt pandas transformations to sktime interface.
In transform, executes pd.DataFrame method of name method on data, optionally with keywords arguments passed, via kwargs hyper-parameter. The apply_to parameter controls what the data is upon which method is called: “call” = for X seen in transform, “all”/”all_subset” = all data seen so far. See below for details.
For hierarchical series, operation is applied by instance.
Schnellstart
python
from sktime.transformations.adapt import PandasTransformAdaptor
estimator = PandasTransformAdaptor(method, kwargs=None, apply_to='call')Tags
Fähigkeiten
- Multivariat
- Reihen ungleicher Länge
- Inverse Transformation: Nicht unterstützt
- Fehlende Werte: Nicht unterstützt
- Entfernt fehlende Werte: Nicht unterstützt
- Gleicht Reihenlängen an: 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(3)
- methodstr, optional, default = None = identity transform
- name of the method of DataFrame that is applied in transform
- kwargsdict, optional, default = empty dict (no kwargs passed to method)
- arguments passed to DataFrame.method
- apply_tostr, one of “call”, “all”, “all_subset”, optional, default = “call”
“call” = method is applied to
Xseen in transform only “all” = method is applied to allXseen infit,update,transformmore precisely, the application to
self._Xis returned- “all_subset” = method is applied to all
Xlike for “all” value, but before returning, result is sub-set to indices of
Xintransform
- “all_subset” = method is applied to all
Beispiele
>>> from sktime.transformations.adapt import PandasTransformAdaptor
>>> from sktime.datasets import load_airline
>>> y = load_airline ()
>>> transformer = PandasTransformAdaptor ("diff")
>>> y_hat = transformer. fit_transform (y)
>>> transformer = PandasTransformAdaptor ("diff", apply_to = "all_subset")
>>> y_hat = transformer. fit (y. iloc [: 12 ])
>>> y_hat = transformer. transform (y. iloc [12:])