dimredtools.MDS

class dimredtools.MDS

__init__(self: dimredtools_pybind.MDS, n_components: int = 2, max_iter: int = 100, eps: float = 0.0001, learning_rate: float = 0.2, random_state: int = 0, dissimilarity: str = 'euclidean') → None

fit_transform(self: dimredtools_pybind.MDS, x: numpy.ndarray[numpy.float64[m, n], flags.c_contiguous], init: Optional[numpy.ndarray[numpy.float64[m, n], flags.c_contiguous]] = None) → numpy.ndarray[numpy.float64[m, n]]

Fit mapping.

property dissimilarity_matrix_

Matrix of dissimilarities.

property n_iter_

Number of iterations of the ::fit_transform algorithm.

property stress_

Stress function value of the ::fit_transform result.