Update numpy refs to 1.8.2 (scikit-learn#8926)

Author: naoyak

.travis.yml

@@ -29,17 +29,17 @@ env:
       COVERAGE=true
     # This environment tests the oldest supported anaconda env
     - DISTRIB="conda" PYTHON_VERSION="2.7" INSTALL_MKL="false"
-      NUMPY_VERSION="1.8.1" SCIPY_VERSION="0.13.3" CYTHON_VERSION="0.23"
+      NUMPY_VERSION="1.8.2" SCIPY_VERSION="0.13.3" CYTHON_VERSION="0.23.4"
       COVERAGE=true
-    # This environment tests the newest supported anaconda env
+    # This environment tests the newest supported Anaconda release (4.3.1)
     # It also runs tests requiring Pandas.
     - DISTRIB="conda" PYTHON_VERSION="3.6" INSTALL_MKL="true"
       NUMPY_VERSION="1.11.2" SCIPY_VERSION="0.18.1" PANDAS_VERSION="0.19.2"
       CYTHON_VERSION="0.25.2" COVERAGE=true
     # This environment use pytest to run the tests. It uses the newest
-    # supported anaconda env. It also runs tests requiring Pandas.
+    # supported Anaconda release (4.3.1). It also runs tests requiring Pandas.
     - USE_PYTEST="true" DISTRIB="conda" PYTHON_VERSION="3.6" INSTALL_MKL="true"
-      NUMPY_VERSION="1.11.2" SCIPY_VERSION="0.18.1" PANDAS_VERSION="0.19.1"
+      NUMPY_VERSION="1.11.2" SCIPY_VERSION="0.18.1" PANDAS_VERSION="0.19.2"
       CYTHON_VERSION="0.25.2"
     # flake8 linting on diff wrt common ancestor with upstream/master
     - RUN_FLAKE8="true" SKIP_TESTS="true"

README.rst

@@ -50,7 +50,7 @@ Dependencies
 scikit-learn requires:
 
 - Python (>= 2.7 or >= 3.3)
-- NumPy (>= 1.8.1)
+- NumPy (>= 1.8.2)
 - SciPy (>= 0.13.3)
 
 For running the examples Matplotlib >= 1.1.1 is required.

build_tools/travis/install.sh

@@ -45,11 +45,7 @@ if [[ "$DISTRIB" == "conda" ]]; then
             ${PANDAS_VERSION+pandas=$PANDAS_VERSION}
 
     else
-        # libgfortran=1 needs to be specified explicitly. This is a work-around for
-        # https://github.com/ContinuumIO/anaconda-issues/issues/445
-        # with numpy=1.8.1, python=2.7
         conda create -n testenv --yes python=$PYTHON_VERSION pip nose pytest \
-            libgfortran=1 \
             numpy=$NUMPY_VERSION scipy=$SCIPY_VERSION \
             nomkl cython=$CYTHON_VERSION \
             ${PANDAS_VERSION+pandas=$PANDAS_VERSION}

doc/developers/advanced_installation.rst

@@ -36,7 +36,7 @@ Installing an official release
 Scikit-learn requires:
 
 - Python (>= 2.7 or >= 3.3),
-- NumPy (>= 1.8.1),
+- NumPy (>= 1.8.2),
 - SciPy (>= 0.13.3).
 
 

doc/install.rst

@@ -16,7 +16,7 @@ Installing the latest release
 Scikit-learn requires:
 
 - Python (>= 2.7 or >= 3.3),
-- NumPy (>= 1.8.1),
+- NumPy (>= 1.8.2),
 - SciPy (>= 0.13.3).
 
 If you already have a working installation of numpy and scipy,

setup.py

@@ -41,7 +41,7 @@
 VERSION = sklearn.__version__
 
 SCIPY_MIN_VERSION = '0.13.3'
-NUMPY_MIN_VERSION = '1.8.1'
+NUMPY_MIN_VERSION = '1.8.2'
 
 
 # Optional setuptools features