From 02ebe1499df2f6fbc73f27b1573701e97633c72b Mon Sep 17 00:00:00 2001
From: Amir Mohammadi <183.amir@gmail.com>
Date: Tue, 31 Jan 2017 17:41:24 +0100
Subject: [PATCH] add AND algorithm
---
bob/fusion/base/algorithm/AND.py | 38 ++++++++++++++++++++++++++++++++
1 file changed, 38 insertions(+)
create mode 100644 bob/fusion/base/algorithm/AND.py
diff --git a/bob/fusion/base/algorithm/AND.py b/bob/fusion/base/algorithm/AND.py
new file mode 100644
index 0000000..bd4ac4a
--- /dev/null
+++ b/bob/fusion/base/algorithm/AND.py
@@ -0,0 +1,38 @@
+#!/usr/bin/env python
+
+from __future__ import division
+from __future__ import absolute_import
+
+import numpy
+
+from .Algorithm import Algorithm
+
+import bob.core
+logger = bob.core.log.setup("bob.fusion.base")
+
+
+class AND(Algorithm):
+ """This algorithm fuses several systems with cascading."""
+
+ def __init__(self, thresholds=None, *args, **kwargs):
+ super(AND, self).__init__(
+ classifier=self,
+ thresholds=thresholds,
+ *args, **kwargs)
+ self.thresholds = thresholds
+
+ def fit(self, X, y):
+ pass
+
+ def decision_function(self, scores):
+ if self.thresholds is None:
+ ValueError('No threshold was specified.')
+
+ for i, th in enumerate(self.thresholds):
+ mask = scores[:, i + 1] < th
+ scores[mask, i + 1] = numpy.nan
+
+ mask = numpy.sum(numpy.isnan(scores[:, 1:]), axis=1, dtype=bool)
+ new_scores = numpy.array(scores[0])
+ new_scores[mask] = numpy.finfo('float16').min
+ return new_scores
--
GitLab