TransformerResamplerMixin¶
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class
gtda.base.TransformerResamplerMixin[source]¶ Mixin class for all transformers-resamplers in giotto-tda.
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__init__()¶ Initialize self. See help(type(self)) for accurate signature.
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fit_transform(X, y=None, **fit_params)[source]¶ Fit to data, then transform it.
Fits transformer to X and y with optional parameters fit_params and returns a transformed version of X.
- Parameters
X (ndarray of shape (n_samples, ..)) – Input data.
y (None) – There is no need for a target in a transformer, yet the pipeline API requires this parameter.
- Returns
Xt – Transformed input.
- Return type
numpy array of shape (n_samples, ..)
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fit_transform_resample(X, y, **fit_params)[source]¶ Fit to data, then transform the input and resample the target. Fits transformer to X and y with optional parameters fit_params and returns a transformed version of X ans a resampled version of y.
- Parameters
X (ndarray of shape (n_samples, ..)) – Input data.
y (ndarray of shape (n_samples,)) – Target data.
- Returns
Xt (ndarray of shape (n_samples, …)) – Transformed input.
yr (ndarray of shape (n_samples, …)) – Resampled target.
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transform_resample(X, y)[source]¶ Fit to data, then transform it.
Fits transformer to X and y with optional parameters fit_params and returns a transformed version of X.
- Parameters
X (ndarray of shape (n_samples, ..)) – Input data.
y (ndarray of shape (n_samples,)) – Target data.
- Returns
Xt (ndarray of shape (n_samples, …)) – Transformed input.
yr (ndarray of shape (n_samples, …)) – Resampled target.
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