From e1938f9be301791e090dedfd287d7c0fb619e03b Mon Sep 17 00:00:00 2001
From: bthirion <bertrand.thirion@inria.fr>
Date: Thu, 2 Feb 2012 15:43:25 +0100
Subject: [PATCH] ENH: renamed plot_gmm_model_selection.py to
plot_gmm_selection.py
---
doc/modules/mixture.rst | 4 ++--
.../{plot_gmm_model_selection.py => plot_gmm_selection.py} | 2 +-
2 files changed, 3 insertions(+), 3 deletions(-)
rename examples/mixture/{plot_gmm_model_selection.py => plot_gmm_selection.py} (98%)
diff --git a/doc/modules/mixture.rst b/doc/modules/mixture.rst
index 48f377cb4d..1fb9136e7b 100644
--- a/doc/modules/mixture.rst
+++ b/doc/modules/mixture.rst
@@ -84,8 +84,8 @@ Disadvantages of expectation-maximization:
or information theoretical criteria to decide how many components to use
in the absence of external cues.
- .. figure:: ../auto_examples/mixture/images/plot_gmm_model_selection_1.png
- :target: ../auto_examples/mixture/plot_gmm_model_selection.html
+ .. figure:: ../auto_examples/mixture/images/plot_gmm_selection_1.png
+ :target: ../auto_examples/mixture/plot_gmm_selection.html
:align: center
:scale: 50%
diff --git a/examples/mixture/plot_gmm_model_selection.py b/examples/mixture/plot_gmm_selection.py
similarity index 98%
rename from examples/mixture/plot_gmm_model_selection.py
rename to examples/mixture/plot_gmm_selection.py
index cae9e3d06f..99fe753264 100644
--- a/examples/mixture/plot_gmm_model_selection.py
+++ b/examples/mixture/plot_gmm_selection.py
@@ -11,7 +11,7 @@ In that case, AIC also provides the right result (not shown to save time),
but BIC is better suited if the problem is to identify the right model.
Unlike Bayesian procedures, such inferences are prior-free.
-In that case, the full model with 2 componnets
+In that case, the full model with 2 components
(which corresponds to the true generative model) is selected.
"""
print __doc__
--
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