quirements about what exactly are you trying to
predict, the cause and effect relationship etc. That information can help
model the problem in a way which is more amenable to Mahout's HMM trainers.
On Sun, Jul 24, 2011 at 3:44 PM, Svetlomir Kasabov<
skasa...@smail.inf.fh-brs.de> wrote:
1,0 88,00,9659090909090909
22.Dez.10,_04:33:00
25 no 88,0135,0 88,01,0 22.Dez.10,_04:34:00
Am 24.07.2011 21:15, schrieb Ted Dunning:
I remember this problem.
Is it possible for you to post some sample data?
On Sun, Jul 24, 2011 at 12:08 PM, Svetlomir Kasa
Thanks, Ted,
yes, I will prepare it and post it in c.a. 10 minutes.
Am 24.07.2011 21:15, schrieb Ted Dunning:
I remember this problem.
Is it possible for you to post some sample data?
On Sun, Jul 24, 2011 at 12:08 PM, Svetlomir Kasabov<
skasa...@smail.inf.fh-brs.de> wrote:
Hello aga
Hello again and thanks for the replies of both of you, I really
apreciate them. The most important think is, that you try helping and
how you do this is irrelevant :). I didn't feel angry/insulted.
Yes, X1 and X2 are two independent hidden sequences, like
BP -- BP -- BP (Blood Pressure)
HR
Hello,
I consider using Mahout's implementation for Hidden Markov model (HMM)
for prediction, but I want to clarify some important questions before
using it:
1. I've read some literature about HMMs and in some sorces is written,
that HMMs can also handle continiuous values as input (and not
here is
a pretty easy way to get average log likelihood out of these learning
algorithms and the differences in these are (roughly) the log-likelihood
ratio that you are talking about.
Which other algorithms could I use for this ?
Many thanks and best regards,
Svetlomir Kasabov.
Hello,
I plan using Mahout's OnlineLogisticRegression for probability
estimation. I have extracted many parametes for my classification
situation and I want to test how each of them affects the target
variable. Can I use Mahout to check this significance (for example using
Wald's test or Logl
Hello,
I plan using logistic regression for predicting the probability that a
patient will be given a drug Y. The problem is, that patients don't get
that drug so often and I have many more training examples with Y=0 than
examples with Y=1. Do you think I should keep the number of negative
e
Hello,
the answer of Vijay's question would be insteresting to me too, since I
should use OnlineLogisticRegression in order to calculate probabilities
(as far as I see, there are no probability calculation functions in
AdaptiveLogisticRegression). So, for example, how to determine 'number
of
Hello,
I plan performing sequence/temporal learning using one of Mahout's
classifier (probably OnlineLogisticRegression, since I need
probabilities as outcome).
For example, we have this data:
tXY
---
T1 xT1 Y1
T2 xT2
Test successful ;)
Am 18.06.2011 17:23, schrieb Ken Williams:
Test
on
to be calibrated either. Those outputs are much more like probabilities,
but they still have some issues.
On Wed, Jun 15, 2011 at 6:56 PM, Svetlomir Kasabov<
skasa...@smail.inf.fh-brs.de> wrote:
unfortunately, Mahout's Naive Bayes implemention can't calculate
probabilities.
Hello Steven,
I've asked this question too:
http://mail-archives.apache.org/mod_mbox/mahout-user/201105.mbox/%3cbanlktinyohrcynt0xzrpoqqg3zkepvk...@mail.gmail.com%3E
unfortunately, Mahout's Naive Bayes implemention can't calculate
probabilities. You are now probably really astonished - I could
soon or not. Thats's why
I want to ask you if it is possible to use Mahout in connection with time
series ? Do you see any potential problems / risks ?
Many thanks and best regards!
Svetlomir Kasabov.
--
Svetlomir Dimitrov Kasabov
This message was sent using IMP, the Internet Messaging Program.
Hello,
I have a question:
I have seen, that some of the mahout examples use the class
CsvRecordFactory.java for parsing training and test examples. Would you
recommend this class also for actual usage in production? This would
mean, that I should create a CSV file from my real data (in my cas
s / risks ?
Many thanks and best regards!
Svetlomir Kasabov.
--
Svetlomir Dimitrov Kasabov
This message was sent using IMP, the Internet Messaging Program.
--
Yee Yang Li Hector
http://hectorgon.blogspot.com/ (tech + travel)
http://hectorgon.com (book reviews)
That also
utterly kills reload performance.
On Mon, Jun 6, 2011 at 7:34 AM, Svetlomir Kasabov<
skasa...@smail.inf.fh-brs.de> wrote:
Can't we simply use XML encoder to persist the model as XML? :
ion style? The
LogisticModelParameters style is fairly limited insofar as what it can do.
On Thu, Jun 2, 2011 at 5:01 PM, Svetlomir Kasabov<
skasa...@smail.inf.fh-brs.de> wrote:
Hello,
since I updated my trunk version of Mahout today, I get an empty file for
the model when executing this code:
/Out
Hello,
since I updated my trunk version of Mahout today, I get an empty file
for the model when executing this code:
/OutputStream modelOutput = new FileOutputStream(LOGISTIC_MODEL);
try {
this.lmp.saveTo(modelOutput);
} finally {
modelOutput.close();
}
Hello,
I have looked at the donut-example for Logistic Regression and have
noticed, that a CSV file is used for the training and the test examples.
My problem is, that my test examples are usually POJOs ( Plain Old Java
Objects, which have usually nothing to do with the CSV format). In other
more literature references about how the learning process happens ?
Thanks a lot and best regards,
Svetlomir Kasabov.
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