Hi there,
Can anyone help me out of this.
I am using Scikit-learn module of Python for classification analysis of my
data. I am using MODIS satellite sensor image (raster data in .hdf format
having 1-7 spectral bands) and I actually need to perform decision tree
classification of this dataset. I have converted the raster data into Numpy
Array having cell size 1,1 and 2400 number of rows & columns. Is it
possible to implement decision tree on it? Now with reference to this
useful Scikit-learn decision tree page (
http://scikit-learn.org/stable/modules/tree.html) I have gone through the
general workflow, but, I need some help that how to input this Numpy array
and implement decision tree classification on it.
Jibran
------------------------------------------------------------------------------
Sponsored by Intel(R) XDK
Develop, test and display web and hybrid apps with a single code base.
Download it for free now!
http://pubads.g.doubleclick.net/gampad/clk?id=111408631&iu=/4140/ostg.clktrk
_______________________________________________
Scikit-learn-general mailing list
[email protected]
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
