Move project directory from scikits.learn to sklearn

Makefile

@@ -28,7 +28,7 @@ inplace:
  $(PYTHON) setup.py build_ext -i
 
 test-code: in
- $(NOSETESTS) -s scikits/learn
+ $(NOSETESTS) -s sklearn
 test-doc:
  $(NOSETESTS) -s --with-doctest --doctest-tests --doctest-extension=rst \
  --doctest-fixtures=_fixture doc/modules/

doc/install.rst

@@ -55,11 +55,11 @@ This is usually the fastest way to install the latest stable
 release. If you have pip or easy_install, you can install or update
 with the command::
 
- pip install -U scikits.learn
+ pip install -U sklearn
 
 or::
 
- easy_install -U scikits.learn
+ easy_install -U sklearn
 
 for easy_install. Note that you might need root privileges to run
 these commands.
@@ -145,10 +145,10 @@ version of scikit-learn:
 Debian and derivatives (Ubuntu)
 -------------------------------
 
-The Debian package is named python-scikits-learn and can be install
+The Debian package is named python-sklearn and can be install
 using the following commands with root privileges::
 
- apt-get install python-scikits-learn
+ apt-get install python-sklearn
 
 
 Python(x, y)
@@ -170,17 +170,17 @@ version.
 Macports
 --------
 
-The macport's package is named py26-scikits-learn and can be installed
+The macport's package is named py26-sklearn and can be installed
 by typing the following command::
 
- sudo port install py26-scikits-learn
+ sudo port install py26-sklearn
 
 NetBSD
 ------
 
 scikit-learn is available via `pkgsrc-wip <http:https://pkgsrc-wip.sourceforge.net/>`_:
 
- http:https://pkgsrc.se/wip/py-scikits_learn
+ http:https://pkgsrc.se/wip/py-sklearn
 
 .. _install_bleeding_edge:
 
@@ -200,7 +200,7 @@ Testing requires having the `nose
 installation, the package can be tested by executing *from outside* the
 source directory::
 
- python -c "import scikits.learn as skl; skl.test()"
+ python -c "import sklearn as skl; skl.test()"
 
 This should give you a lot of output (and some warnings) but
 eventually should finish with the a text similar to::
@@ -220,7 +220,7 @@ source directory::
 
 Test can now be run using nosetest::
 
- nosetests scikits/learn/
+ nosetests sklearn/
 
 If you are running the deveopment version, this is automated in the
 commands `make in` and `make test`.