Comments (5)
If you're just getting started with SVM usage your best bet is probably exploring by using larger data sets and graphing them continuously while changing the parameters.
Or if you think it's a bug it would be helpful to have an example using LIBSVM via command line tools or another binding in order to compare where results diverge.
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@matus-pikuliak Did it work?
I see the same error and can't a reliable way out! Did you get a chance to find the solution? If yes, could you please share..
@febeling : Isn't there official support for One Class classification for this Ruby wrapper?
Thanks.
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@pbssubhash Nothing in this library prevents you from using one-class configuration.
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@febeling
So, how do I go about configuring it for One class?
Is it the same way used in the example?
Thanks.
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Related Issues (19)
- Invalid gemspec HOT 4
- Setting kernel_type causes segfault HOT 2
- Decimal values for prediction HOT 1
- File formatting tabs -> spaces HOT 6
- text / language processing HOT 3
- text example, line 52 HOT 1
- Adjust paths to modules HOT 7
- require 'libsvm' fails (MS windows) HOT 11
- Save Models HOT 1
- predict_probability HOT 6
- Can not install in JRuby HOT 1
- SVR support? HOT 4
- Cross validation example? HOT 1
- Recommend doing something when svm_load_model fails HOT 2
- Multi Class HOT 7
- RubyML HOT 1
- how breaking captcha?
- How to use scale?
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