Package gmisclib :: Module multivariance_mm
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Module multivariance_mm

source code

This a helper module for multivariance.py

Classes
  datum_c
  multi_mu
This describes a quadratic model of a known size, with multiple means (one for each different class of data).
  multi_mu_with_numbers
  multi_mu_diag
This describes a quadratic model of a known size, with multiple means (one for each different class of data).
  multi_mu_diag_with_numbers
Functions
 
_multi_mu__init__(self, dataset=None, ndim=None, idmap=None, details=None)
You either give it a complete dataset to look at, including class IDs, *or* the dimensionality of the data (ndim) and a map between classids and integers.
source code
Variables
  __package__ = 'gmisclib'

Imports: Num, M, random, g_implements


Function Details

_multi_mu__init__(self, dataset=None, ndim=None, idmap=None, details=None)

source code 

You either give it a complete dataset to look at, including class IDs, *or* the dimensionality of the data (ndim) and a map between classids and integers. This map can be obtained from nice_hash.