naywhayare changed the topic of #mlpack to: http://www.mlpack.org/ -- We don't respond instantly... but we will respond. Give it a few minutes. Or hours. -- Channel logs: http://www.mlpack.org/irc/
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< Anand> Marcus : You saw my mail?
< marcus_zoq> Anand: Hello, yeah. you are using the correct config?
< Anand> Yes. You are able to run?
< marcus_zoq> Anand: Yes
< Anand> Ok. I must be making some mistake then
< marcus_zoq> Anand: For me it looks like you are using 'format: [csv]' instead of 'format: [arff, csv]'.
< Anand> No. I am using the correct format
< Anand> Anyways, I will see. It seems to be an error at my end. The code is fine. Should I make the merge now?
< marcus_zoq> Anand: Yeah go ahead!
< Anand> Ok. In a few minutes
< Anand> Marcus : Done!
< marcus_zoq> Anand: Okay great!
< Anand> I want to take HMM next before bootstrapping.
< Anand> I will not take more than 2-3 days, I guess and meanwhile you can tell me your opinion on bootstrapping
< marcus_zoq> Anand: Thanks, sounds great.
< Anand> Any pointers?
< marcus_zoq> Anand: Should be pretty straightforward, I think there are only two libraries...
< Anand> Ok. Mlpack and Matlab, right?
< marcus_zoq> Anand: Yeah, right!
< Anand> Do we have the required arrays/files (predictions/probs) for mlpack?
< marcus_zoq> Anand: I think so, it should be output.csv (hmm viterbi)
< Anand> Ok. I will see. What about HMM_loglik?
< Anand> Yes, output.csv contains the predicted state sequence. I need to have a look at how it looks.
< Anand> Marcus : The output.csv is not getting generated as of now. And yes, I commented the __del__(..) function and gmon.out is getting generated
< marcus_zoq> Anand: Do you use the version from the gsoc14 branch?
< marcus_zoq> Anand: In this case you need to rename the RunMethod function.
< marcus_zoq> Anand: Maybe you should sync the gsoc14 branch with the master branch.
< Anand> Ok. Let me try
< Anand> Marcus : Does it expect a XML file?
< marcus_zoq> Anand: Yes: 'hmm_viterbi -i datasets/artificial_2DSignal.csv -m datasets/artificial_2DSignal_hmm.xml -v'
< Anand> No csv is giving errors!
< Anand> hmm_viterbi -i datasets/iris_train.csv -m datasets/iris_test.csv -v
< Anand> [INFO ] Loading 'datasets/iris_train.csv' as CSV data. Size is 5 x 150. datasets/iris_test.csv:1: parser error : Start tag expected, '<' not found 5.1,3.5,1.4,0.2 ^ [FATAL] Could not load XML file 'datasets/iris_test.csv'!
< marcus_zoq> Anand: The second file contains the model (xml)
< Anand> Oh! How can I generate this file?
< marcus_zoq> Anand: With hmm_train but you can also use the existing model file artificial_2DSignal_hmm.xml.
< Anand> Ok.
< Anand> Now it works! The output.csv contains a series of zeroes
< marcus_zoq> Anand: Yeah, I think we should use some real data.
< Anand> Real data?
< Anand> And how does HMM fit to our metrics?
< Anand> These are state sequences not predicted labels, right?
< marcus_zoq> Anand: Yeah, right, maybe we should skip the hmm model.
< Anand> You mean we shoukdn't do this?
< marcus_zoq> Anand: Yes
< Anand> Ok, may be for now. But, I will find out if somehow we can use the metrics for HMM.
< Anand> So, what should I take next?
< marcus_zoq> Anand: We have forgotten to update the mlpy linear regression method.
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< Anand_> mlpy? Ok. I will look into it. It must also have logistic regression then
< marcus_zoq> Anand: Not necessarily.
< Anand_> Yeah, it doesn't
< Anand_> Only linear regression
< Anand_> I will do it today
< marcus_zoq> Anand: Btw. I think it would be helpful to store the results of the metrics into the database.
< Anand_> I thought we are doing that. The benchmark.db?
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< marcus_zoq> Anand: If we set Log=true we store the timing results into the database.
< Anand_> Ok. So, we need to run the metrics for all methods once, then.
< marcus_zoq> Anand: And we should polish the output. Right now we use the Debug output maybe we can print a table?
< Anand_> Sure. How do you want it?
< marcus_zoq> Anand: Right now it looks like this https://gist.github.com/zoq/8f47dfc136c89bd3215e. So maybe something similar, it's up to you.
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< Anand> Marcus : I have modified the mlpy linear regression file too. You wanted to print tables for metrics?
< marcus_zoq> Anand: OKay, good, Yeah something like that, we should add a relation between the metric and the result.
< Anand> How exactly?
< marcus_zoq> Anand: Something like MSE -> mlpack -> result?
< Anand> You want to print in this manner?
< marcus_zoq> Anand: It is up to you :)
< Anand> Ok, I will add something similar. I should use the print function directly? Or is there another way round>?
< marcus_zoq> Anand: Anything is better than [DEBUG]
< marcus_zoq> Anand: I don't think so, just use print? You can look into the log class to get an impression for the exesting table
< Anand> Marcus : Ok, I will see
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