Merge branch 'master' of https://github.com/automl/HpBandSter

Author: PhMueller

README.md

@@ -1,4 +1,4 @@
-# HpBandSter [![Build Status](https://travis-ci.org/automl/HpBandSter.svg?branch=master)](https://travis-ci.org/automl/HpBandSter)
+# HpBandSter [![Build Status](https://travis-ci.org/automl/HpBandSter.svg?branch=master)](https://travis-ci.org/automl/HpBandSter)  [![codecov](https://codecov.io/gh/automl/HpBandSter/branch/master/graph/badge.svg)](https://codecov.io/gh/automl/HpBandSter)
 a distributed Hyperband implementation on Steroids
 
 This python 3 package is a framework for distributed hyperparameter optimization.

codecov.yml

@@ -0,0 +1,30 @@
+codecov:
+  notify:
+    require_ci_to_pass: yes
+
+coverage:
+  precision: 2
+  round: down
+  range: "70...100"
+
+  status:
+    project: yes
+    patch: yes
+    changes: no
+
+parsers:
+  gcov:
+    branch_detection:
+      conditional: yes
+      loop: yes
+      method: no
+      macro: no
+
+comment:
+  layout: "header, diff"
+  behavior: default
+  require_changes: no
+
+ignore:
+    - "hpbandster/examples/.*"
+    - "hpbandster/workers/hpolibbenchmark.py"

hpbandster/optimizers/config_generators/h2bo.py

@@ -227,7 +227,8 @@ def new_result(self, job, update_model=True):
 		# skip model building:
 		#		a) if not enough points are available
 
-		if np.sum(np.isfinite(self.losses[budget])) < min_num_points:
+		tmp = np.array([np.mean(r) for r in self.losses[budget]])
+		if np.sum(np.isfinite(tmp)) < min_num_points:
 			self.logger.debug("Only %i successful run(s) for budget %f available, need more than %s -> can't build model!"%(np.sum(np.isfinite(self.losses[budget])), budget, min_num_points))
 			return
 

setup.py

@@ -2,7 +2,7 @@
 
 setup(
 	name='hpbandster',
-	version='0.7.3',
+	version='0.7.4',
 	description='HyPerBAND on STERoids, a distributed Hyperband implementation with lots of room for improvement',
 	author='Stefan Falkner',
 	author_email='[email protected]',