From 756c32de26b6f07545a8ea618e6f98dbad0a941e Mon Sep 17 00:00:00 2001 From: Matthias Feurer Date: Thu, 18 Feb 2021 06:35:21 +0100 Subject: [PATCH] prepare new release --- changelog.md | 6 ++++++ test/test_hyperparameters.py | 2 +- 2 files changed, 7 insertions(+), 1 deletion(-) diff --git a/changelog.md b/changelog.md index b6056fde..aa0c0ba7 100644 --- a/changelog.md +++ b/changelog.md @@ -1,3 +1,9 @@ +# Version 0.4.18 + +* ADD #164: New method `rvs` for hyperparameters to allow them being used with scikit-learn's + hyperparameter optimization tools. +* FIX #173: Fixes a numpy ABI incompatibility problem with numpy 1.20 + # Version 0.4.17 * MAINT #168: Support for Python. 3.9.X diff --git a/test/test_hyperparameters.py b/test/test_hyperparameters.py index b62a5df2..ba9b6362 100644 --- a/test/test_hyperparameters.py +++ b/test/test_hyperparameters.py @@ -1094,7 +1094,7 @@ def test_rvs(self): # test that returned types are correct # if size=None, return a value, but if size=1, return a 1-element array self.assertIsInstance(f1.rvs(), float) - self.assertIsInstance(1.rvs(size=1), np.ndarray) + self.assertIsInstance(f1.rvs(size=1), np.ndarray) self.assertIsInstance(f1.rvs(size=2), np.ndarray) self.assertAlmostEqual(f1.rvs(random_state=100), f1.rvs(random_state=100))