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bundles / scipy latest / scipy / stats / _multivariate / multivariate_normal_gen / fit

function

scipy.stats._multivariate:multivariate_normal_gen.fit

source: /scipy/stats/_multivariate.py :861

Signature

def   fit ( self x fix_mean = None fix_cov = None )

Summary

Fit a multivariate normal distribution to data.

Parameters

x : ndarray (m, n)

Data the distribution is fitted to. Must have two axes. The first axis of length m represents the number of vectors the distribution is fitted to. The second axis of length n determines the dimensionality of the fitted distribution.

fix_mean : ndarray(n, )

Fixed mean vector. Must have length n.

fix_cov: ndarray (n, n)

Fixed covariance matrix. Must have shape (n, n).

Returns

mean : ndarray (n, )

Maximum likelihood estimate of the mean vector

cov : ndarray (n, n)

Maximum likelihood estimate of the covariance matrix

Aliases

  • scipy.stats._multivariate.multivariate_normal_gen.fit