From 528c803f6d08a5607c2cdadf1fee27cb4767f321 Mon Sep 17 00:00:00 2001
From: Yannick DAYER <yannick.dayer@idiap.ch>
Date: Thu, 6 Jun 2024 15:31:46 +0200
Subject: [PATCH] doc(JFA): change seeds of doctests of ISV and JFA.
---
doc/guide.rst | 12 ++++++------
1 file changed, 6 insertions(+), 6 deletions(-)
diff --git a/doc/guide.rst b/doc/guide.rst
index d0d6b01..3905933 100644
--- a/doc/guide.rst
+++ b/doc/guide.rst
@@ -276,7 +276,7 @@ prior GMM.
>>> gmm_stats = prior_gmm.acc_stats(data)
>>> # Printing the responsibilities
>>> print(gmm_stats.n/gmm_stats.t)
- [0.6 0.4]
+ [0.4 0.6]
Inter-Session Variability
@@ -322,7 +322,7 @@ The snippet bellow shows how to:
>>> import bob.learn.em
>>> import numpy as np
- >>> np.random.seed(10)
+ >>> np.random.seed(9)
>>> # Generating some fake data
>>> data_class1 = np.random.normal(0, 0.5, (10, 3))
@@ -341,13 +341,13 @@ The snippet bellow shows how to:
>>> enroll_data = np.array([[1.2, 0.1, 1.4], [0.5, 0.2, 0.3]])
>>> model = isv_machine.enroll_using_array(enroll_data)
>>> print(model)
- [[ 0.54 0.246 0.505 1.617 -0.791 0.746]]
+ [[ 0.399 0.281 0.353 2.778 -1.319 0.876]]
>>> # Probing
>>> probe_data = np.array([[1.2, 0.1, 1.4], [0.5, 0.2, 0.3]])
>>> score = isv_machine.score_using_array(model, probe_data)
>>> print(round(score, 3))
- 2.754
+ 7.459
@@ -403,12 +403,12 @@ such session variability model.
>>> enroll_data = np.array([[1.2, 0.1, 1.4], [0.5, 0.2, 0.3]])
>>> model = jfa_machine.enroll_using_array(enroll_data)
>>> print(model)
- (array([0.634, 0.165]), array([ 0., 0., 0., 0., -0., 0.]))
+ (array([1.569, 0.06 ]), array([ 0., -0., 0., -0., 0., 0.]))
>>> probe_data = np.array([[1.2, 0.1, 1.4], [0.5, 0.2, 0.3]])
>>> score = jfa_machine.score_using_array(model, probe_data)
>>> print(round(score, 3))
- 0.471
+ 6.084
--
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