HistoricalMap.gmm_ridge.GMMR Class Reference

Collaboration diagram for HistoricalMap.gmm_ridge.GMMR:

Public Member Functions
def	__init__
def	learn
def	predict
def	compute_inverse_logdet
def	BIC
def	cross_validation

Public Attributes
	ni
	Get information from the data. More...
	prop
	mean
	cov
	Q
	L
	tau

Detailed Description

Definition at line 95 of file gmm_ridge.py.

Constructor & Destructor Documentation

def HistoricalMap.gmm_ridge.GMMR.__init__

(

self

)

Definition at line 96 of file gmm_ridge.py.

Member Function Documentation

def HistoricalMap.gmm_ridge.GMMR.BIC	(		self,
			x,
			y,
			tau = None
	)

Computes the Bayesian Information Criterion of the model

Definition at line 186 of file gmm_ridge.py.

def HistoricalMap.gmm_ridge.GMMR.compute_inverse_logdet	(		self,
			c,
			tau
	)

Definition at line 179 of file gmm_ridge.py.

def HistoricalMap.gmm_ridge.GMMR.cross_validation	(		self,
			x,
			y,
			tau,
			v = 5
	)

Function that computes the cross validation accuracy for the value tau of the regularization
Input:
    x : the training samples
    y : the labels
    tau : a range of values to be tested
    v : the number of fold
Output:
    err : the estimated error with cross validation for all tau's value

Definition at line 219 of file gmm_ridge.py.

def HistoricalMap.gmm_ridge.GMMR.learn	(		self,
			x,
			y
	)

Function that learns the GMM with ridge regularizationb from training samples
Input:
    x : the training samples
    y :  the labels
Output:
    the mean, covariance and proportion of each class, as well as the spectral decomposition of the covariance matrix

Definition at line 105 of file gmm_ridge.py.

def HistoricalMap.gmm_ridge.GMMR.predict	(		self,
			xt,
			tau = None,
			proba = None
	)

Function that predict the label for sample xt using the learned model
Inputs:
    xt: the samples to be classified
Outputs:
    y: the class
    K: the decision value for each class

Definition at line 143 of file gmm_ridge.py.

Member Data Documentation

HistoricalMap.gmm_ridge.GMMR.cov

Definition at line 100 of file gmm_ridge.py.

HistoricalMap.gmm_ridge.GMMR.L

Definition at line 102 of file gmm_ridge.py.

HistoricalMap.gmm_ridge.GMMR.mean

Definition at line 99 of file gmm_ridge.py.

HistoricalMap.gmm_ridge.GMMR.ni

Get information from the data.

Initialization

Definition at line 97 of file gmm_ridge.py.

HistoricalMap.gmm_ridge.GMMR.prop

Definition at line 98 of file gmm_ridge.py.

HistoricalMap.gmm_ridge.GMMR.Q

Definition at line 101 of file gmm_ridge.py.

HistoricalMap.gmm_ridge.GMMR.tau

Definition at line 103 of file gmm_ridge.py.

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The documentation for this class was generated from the following file:

• gmm_ridge.py