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