fixed links and updated readme

This commit is contained in:
rasbt 2014-05-04 20:16:02 -04:00
parent f6a1db2dfd
commit fc9dcf61ef
2 changed files with 6 additions and 6 deletions

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@ -1,7 +1,7 @@
{
"metadata": {
"name": "",
"signature": "sha256:07d1097e63ed00fca1ea6848104a030744ac87d11e515ae48e01e53b7425d997"
"signature": "sha256:6fec0ff80302cd983b1b3ab4e6653aa12c291ed854c5efd69f28608d4f6af614"
},
"nbformat": 3,
"nbformat_minor": 0,
@ -12,7 +12,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"[Sebastian Raschka](www.sebastianraschka.com) \n",
"[Sebastian Raschka](http://www.sebastianraschka.com) \n",
"last updated: 05/04/2014\n",
"\n",
"- [Link to this IPython Notebook on GitHub](https://github.com/rasbt/python_reference/blob/master/benchmarks/cython_least_squares.ipynb) \n",
@ -414,7 +414,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"In order to test our different least squares fit implementation, we will generate some sample data:\n",
"In order to test our different least squares fit implementation, we will generate some sample data: \n",
"- 500 sample points for the x-component within the range [0,500) \n",
"- 500 sample points for the y-component within the range [100,600) \n",
"\n",

View File

@ -1,7 +1,7 @@
{
"metadata": {
"name": "",
"signature": "sha256:07d1097e63ed00fca1ea6848104a030744ac87d11e515ae48e01e53b7425d997"
"signature": "sha256:6fec0ff80302cd983b1b3ab4e6653aa12c291ed854c5efd69f28608d4f6af614"
},
"nbformat": 3,
"nbformat_minor": 0,
@ -12,7 +12,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"[Sebastian Raschka](www.sebastianraschka.com) \n",
"[Sebastian Raschka](http://www.sebastianraschka.com) \n",
"last updated: 05/04/2014\n",
"\n",
"- [Link to this IPython Notebook on GitHub](https://github.com/rasbt/python_reference/blob/master/benchmarks/cython_least_squares.ipynb) \n",
@ -414,7 +414,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"In order to test our different least squares fit implementation, we will generate some sample data:\n",
"In order to test our different least squares fit implementation, we will generate some sample data: \n",
"- 500 sample points for the x-component within the range [0,500) \n",
"- 500 sample points for the y-component within the range [100,600) \n",
"\n",