Update README.md

Author: dclambert

README.md

@@ -1,4 +1,36 @@
 Python-ELM
 ==========
 
-Extreme Learning Machine implementation in Python
+Extreme Learning Machine implementation in Python
+Version  1.0
+
+This is an implementation of the Extreme Learning Machine in python,
+based on the scikit-learn machine learning library.
+
+Distance and dot product based hidden layers are provided via the
+RBFRandomHiddenLayer and SimpleRandomHiddenLayer classes respectively.
+
+The SimpleRandomHiddenLayer provides the following activation functions:
+
+    tanh, sine, tribas, sigmoid, hardlim
+
+The RBFRandomHiddenLayer provides the following activation functions:
+
+    gaussian, multiquadric and polyharmonic spline ('poly_spline')
+
+In addition, each random hidden layer class can take a callable user
+provided transfer function.  See the docstrings and the example ipython
+notebook for details.
+
+There's a little demo in plot_elm_comparison.py (based on scikit-learn's
+plot_classifier_comparison).
+
+Requires that scikit-learn be installed, along with its usual prerequisites,
+and ipython to use elm_notebook.py (though it can be tweaked to run without
+it).
+
+This is a work in progress, it may be restructured as time goes	by.
+
+- David C Lambert
+  March, 2013
+  [dcl -at- panix -dot- com]