From 72a3d15f12c1186277c087b448b14bdfd40a6719 Mon Sep 17 00:00:00 2001 From: Tiago Freitas Pereira <tiagofrepereira@gmail.com> Date: Wed, 18 Feb 2015 09:43:25 +0100 Subject: [PATCH] Documenting --- doc/index.rst | 13 +++++++++++-- 1 file changed, 11 insertions(+), 2 deletions(-) diff --git a/doc/index.rst b/doc/index.rst index 5592eba..a4b6ef0 100644 --- a/doc/index.rst +++ b/doc/index.rst @@ -10,9 +10,18 @@ Expectation Maximization Machine Learning Tools ================================================ -The EM algorithm is an iterative method that estimates parameters for a statistical models, where the model depends on unobserved latent variables. The EM iteration alternates between performing an expectation (E) step, which creates a function for the expectation of the log-likelihood evaluated using the current estimate for the parameters, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. These parameter-estimates are then used to determine the distribution of the latent variables in the next E step [WikiEM]_. +The EM algorithm is an iterative method that estimates parameters for statistical models, where the model depends on unobserved latent variables. The EM iteration alternates between performing an expectation (E) step, which creates a function for the expectation of the log-likelihood evaluated using the current estimate for the parameters, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. These parameter-estimates are then used to determine the distribution of the latent variables in the next E step [WikiEM]_. + +The package includes the machine definition per se and a selection of different trainers for specialized purposes: + - Maximum Likelihood (ML) + - Maximum a Posteriori (MAP) + - K-Means + - Inter Session Variability Modelling (ISV) + - Joint Factor Analysis (JFA) + - Total Variability Modeling (iVectors) + - Probabilistic Linear Discriminant Analysis (PLDA) + - EM Principal Component Analysis (EM-PCA) -This package contains a set of Pythonic bindings for Bob's Machines and Trainers. Documentation ------------- -- GitLab