From 2feb36c2bcd48155bd26d62250b55ef0f83477c3 Mon Sep 17 00:00:00 2001
From: Baptiste Bauvin <baptiste.bauvin@lis-lab.fr>
Date: Tue, 3 Mar 2020 14:44:47 +0100
Subject: [PATCH] HPS
---
.../utils/hyper_parameter_search.py | 17 +++++++++++++++++
1 file changed, 17 insertions(+)
diff --git a/multiview_platform/mono_multi_view_classifiers/utils/hyper_parameter_search.py b/multiview_platform/mono_multi_view_classifiers/utils/hyper_parameter_search.py
index 266e7f84..8132b9ab 100644
--- a/multiview_platform/mono_multi_view_classifiers/utils/hyper_parameter_search.py
+++ b/multiview_platform/mono_multi_view_classifiers/utils/hyper_parameter_search.py
@@ -222,6 +222,23 @@ class Grid(GridSearchCV, HPSearch):
self.n_iter = len(self.candidate_params)
+# class ParameterSamplerGrid:
+#
+# def __init__(self, param_distributions, n_iter):
+# from math import floor
+# n_points_per_param = int(n_iter **(1/len(param_distributions)))
+# selected_params = dict((param_name, [])
+# for param_name in param_distributions.keys())
+# for param_name, distribution in param_distributions.items():
+# if isinstance(distribution, list):
+# if len(distribution)<n_points_per_param:
+# selected_params[param_name] = distribution
+# else:
+# index_step = floor(len(distribution)/n_points_per_param-2)
+# selected_params[param_name] = distribution[0]+[distribution[index*index_step+1]
+# for index
+# in range(n_points_per_param)]
+
--
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