targets is the class label for the samples. Since you have 178 samples, targets' shape should be 178*1.
On May 21, 2013, at 3:40 PM, Paulo Nuin <[email protected]> wrote: > Hi Lars > > Thanks a lot for the help so far. > > It seems that your method solves part of my troubles. In my case X contains > all lines that are not NegCtrl and y the NegCtrl. Currently I am just trying > to load the sets into bumpy arrays and run something from the initial > tutorial on scikit-learn just to see if it works: > > clf =svm.SVC(gamma=0.001, C=100.) > clf.fit(data[:-1], target[:-1]) > > When I run my scripts I get the data and target shapes as: > > (179, 205) > (53, 205) > > but I still get an error at the end when trying to fit the data > > Traceback (most recent call last): > File "read.py", line 46, in <module> > clf.fit(data[:-1], target[:-1]) > File "/Library/Python/2.7/site-packages/sklearn/svm/base.py", line 166, in > fit > (X.shape[0], y.shape[0])) > ValueError: X and y have incompatible shapes. > X has 178 samples, but y has 10660. > > Any further help is appreciated. > > Thanks > > Paulo > > > > > On 2013-05-18, at 8:02 AM, Lars Buitinck <[email protected]> wrote: > >> 2013/5/18 Paulo Nuin <[email protected]>: >>> Drp1 41 1.91457014241 0.251069883932 103.0949514 >>> 0.147634342712 1.75424087726 0.391473420716 0. >> >> If you get rid of the extra 0. at the end of this line, which I'm >> assuming is a mistake, then you can use np.genfromtxt [1] to easily >> load this file. >> >> with open("inputfile.txt") as infile: >> data = np.genfromtxt((ln for ln in infile if not >> ln.startswith("NegCtrl")), skip_header=1) >> data = data[:, 2:] >> >>> But when I do this I get a ValueError that X and y have incompatible shapes. >> >> What in this table is X, what is y, and what are you trying to do? >> >> [1] http://bit.ly/109oTHs >> >> -- >> Lars Buitinck >> Scientific programmer, ILPS >> University of Amsterdam >> >> ------------------------------------------------------------------------------ >> AlienVault Unified Security Management (USM) platform delivers complete >> security visibility with the essential security capabilities. Easily and >> efficiently configure, manage, and operate all of your security controls >> from a single console and one unified framework. Download a free trial. >> http://p.sf.net/sfu/alienvault_d2d >> _______________________________________________ >> Scikit-learn-general mailing list >> [email protected] >> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > > > ------------------------------------------------------------------------------ > Try New Relic Now & We'll Send You this Cool Shirt > New Relic is the only SaaS-based application performance monitoring service > that delivers powerful full stack analytics. Optimize and monitor your > browser, app, & servers with just a few lines of code. Try New Relic > and get this awesome Nerd Life shirt! http://p.sf.net/sfu/newrelic_d2d_may > _______________________________________________ > Scikit-learn-general mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general ------------------------------------------------------------------------------ Get 100% visibility into Java/.NET code with AppDynamics Lite It's a free troubleshooting tool designed for production Get down to code-level detail for bottlenecks, with <2% overhead. Download for free and get started troubleshooting in minutes. http://p.sf.net/sfu/appdyn_d2d_ap2 _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
