mathdatech/python_reference
1
0
Fork 0
mirror of https://github.com/rasbt/python_reference.git synced 2025-03-02 20:08:45 +00:00
Code Issues Packages Projects Releases Wiki Activity

research reference added

Browse Source
This commit is contained in:
rasbt 2014-05-04 22:17:27 -04:00
parent fc9dcf61ef
commit 7d6d3d3540
2 changed files with 8 additions and 4 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

6
benchmarks/.ipynb_checkpoints/cython_least_squares-checkpoint.ipynb
View File

@ -1,7 +1,7 @@
{
"metadata": {
"name": "",
"signature": "sha256:6fec0ff80302cd983b1b3ab4e6653aa12c291ed854c5efd69f28608d4f6af614"
"signature": "sha256:ed0de0773556cdc26dc372038810ad0e5322ec915298a90f2badf09740d856db"
},
"nbformat": 3,
"nbformat_minor": 0,
@ -104,7 +104,9 @@
"![](https://raw.githubusercontent.com/rasbt/python_reference/master/Images/least_squares_vertical.png) \n",
"![](https://raw.githubusercontent.com/rasbt/python_reference/master/Images/least_squares_perpendicular.png) \n",
"\n",
"Here, we will use the more common approach: minimizing the sum of the perpendicular offsets.\n"
"As Michael Burger summarizes it nicely in his article \"[Problems of Linear Least Square Regression - And Approaches to Handle Them](http://www.arsa-conf.com/archive/?vid=1&aid=2&kid=60101-220)\": \"the perpendicular offset method delivers a more precise result but is are more complicated to handle. Therefore normally the vertical offsets are used.\" \n",
"Here, we will also use the method of computing the vertical offsets.\n",
"\n"
]
},
{

6
benchmarks/cython_least_squares.ipynb
View File

@ -1,7 +1,7 @@
{
"metadata": {
"name": "",
"signature": "sha256:6fec0ff80302cd983b1b3ab4e6653aa12c291ed854c5efd69f28608d4f6af614"
"signature": "sha256:ed0de0773556cdc26dc372038810ad0e5322ec915298a90f2badf09740d856db"
},
"nbformat": 3,
"nbformat_minor": 0,
@ -104,7 +104,9 @@
"![](https://raw.githubusercontent.com/rasbt/python_reference/master/Images/least_squares_vertical.png) \n",
"![](https://raw.githubusercontent.com/rasbt/python_reference/master/Images/least_squares_perpendicular.png) \n",
"\n",
"Here, we will use the more common approach: minimizing the sum of the perpendicular offsets.\n"
"As Michael Burger summarizes it nicely in his article \"[Problems of Linear Least Square Regression - And Approaches to Handle Them](http://www.arsa-conf.com/archive/?vid=1&aid=2&kid=60101-220)\": \"the perpendicular offset method delivers a more precise result but is are more complicated to handle. Therefore normally the vertical offsets are used.\" \n",
"Here, we will also use the method of computing the vertical offsets.\n",
"\n"
]
},
{