PreprocessingStep: Preprocessing Step
| PreprocessingStep | R Documentation |
Preprocessing Step
Description
Preprocessing Step
Preprocessing Step
Super classes
rgudhi::PythonClass -> rgudhi::SKLearnClass -> PreprocessingStep
Methods
Public methods
Inherited methods
Method apply()
Applies the class on a single persistence diagram and outputs the result.
Usage
PreprocessingStep$apply(diag)
Arguments
diagA 2-column tibble::tibble specifying a persistence diagram.
Returns
A 2-column tibble::tibble storing the preprocessed persistence diagram.
Method fit()
Fits the class on a sample of persistence diagrams.
Usage
PreprocessingStep$fit(X, y = NULL)
Arguments
XA list of 2-column tibble::tibbles specifying a sample of persistence diagrams.
yAn integer vector specifying persistence diagram labels (unused for now).
Returns
The class itself invisibly.
Method transform()
Applies the class on a sample of persistence diagrams.
Usage
PreprocessingStep$transform(X)
Arguments
XA list of 2-column tibble::tibbles specifying a sample of persistence diagrams.
Returns
A list of 2-column tibble::tibbles storing the preprocessed persistence diagrams.
Method fit_transform()
Applies sequentially the $fit() and $transform() methods
on a sample of persistence diagrams in a more efficient way than
calling them directly.
Usage
PreprocessingStep$fit_transform(X, y = NULL)
Arguments
XA list of 2-column tibble::tibbles specifying a sample of persistence diagrams.
yAn integer vector specifying persistence diagram labels (unused for now).
Returns
A list of 2-column tibble::tibbles storing the preprocessed persistence diagrams.
Method clone()
The objects of this class are cloneable with this method.
Usage
PreprocessingStep$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
Author(s)
Mathieu Carrière
