Groups > comp.lang.java.programmer > #24115

Re: Some questions on Ant

Newsgroups	comp.lang.java.programmer
Date	2013-05-17 14:51 -0700
References	<b1c67425-100c-4249-9cb3-01759359d305@googlegroups.com>
Message-ID	<059f855e-7639-4cee-b484-d84e97e9b8fa@googlegroups.com> (permalink)
Subject	Re: Some questions on Ant
From	subhabangalore@gmail.com

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On Monday, May 13, 2013 1:10:31 AM UTC+5:30, subhaba...@gmail.com wrote:
> Dear Room,
> 
> 
> 
> I was trying to learn Apache Ant. 
> 
> 
> 
> I got the following information.
> 
> 
> 
> i)Ant is a build tool, it helps to create .exe file.
> 
> ii) Compiling is a subtask of building.
> 
> 
> 
> Now,
> 
> I am confused with few questions.
> 
> 
> 
> I was exploring the "Ant build" in Eclipse.
> 
> 
> 
> I could create one "build.xml" and could run successfully. 
> 
> 
> 
> The questions are:
> 
> i) May I have to write the the "build.xml" or a build file everytime I want to build a project? Can't it be done automatic, means the generation of the .xml file?
> 
> 
> 
> ii) After the "build.xml" gives report like,
> 
> 
> 
> Hello:
> 
>      [echo] Hello
> 
> BUILD SUCCESSFUL
> 
> Total time: 477 milliseconds
> 
> 
> 
> Where may I find .exe file? And how should I use it?
> 
> 
> 
> If any one of the learned members can kindly suggest?
> 
> 
> 
> Regards,
> 
> Subhabrata.

Dear Group,

After lot of experiments and web surf, I could get the results. 

C:\mallet\bin>mallet train-classifier --input output.mallet --output-classifier
my.classifier
Training portion = 1.0
 Unlabeled training sub-portion = 0.0
Validation portion = 0.0
Testing portion = 0.0

-------------------- Trial 0  --------------------

Trial 0 Training NaiveBayesTrainer with 1 instances
Trial 0 Training NaiveBayesTrainer finished
Trial 0 Trainer NaiveBayesTrainer training data accuracy= 1.0
Trial 0 Trainer NaiveBayesTrainer Test Data Confusion Matrix
Trial 0 Trainer NaiveBayesTrainer test data accuracy= NaN

NaiveBayesTrainer
Summary. train accuracy mean = 1.0 stddev = 0.0 stderr = 0.0
Summary. test accuracy mean = NaN stddev = NaN stderr = NaN
C:\mallet\bin>
Microsoft Windows [Version 6.1.7601]
Copyright (c) 2009 Microsoft Corporation.  All rights reserved.

C:\Users\subhabrata>cd\

C:\>cd mallet

C:\mallet>cd bin

C:\mallet\bin>mallet train-classifier --input revised.mallet --output-classifier
 mine.classifer
Training portion = 1.0
 Unlabeled training sub-portion = 0.0
Validation portion = 0.0
Testing portion = 0.0

-------------------- Trial 0  --------------------

Trial 0 Training NaiveBayesTrainer with 21 instances
Trial 0 Training NaiveBayesTrainer finished
Trial 0 Trainer NaiveBayesTrainer training data accuracy= 0.5238095238095238
Trial 0 Trainer NaiveBayesTrainer Test Data Confusion Matrix
Trial 0 Trainer NaiveBayesTrainer test data accuracy= NaN

NaiveBayesTrainer
Summary. train accuracy mean = 0.5238095238095238 stddev = 0.0 stderr = 0.0
Summary. test accuracy mean = NaN stddev = NaN stderr = NaN
C:\mallet\bin>
Microsoft Windows [Version 6.1.7601]

C:\mallet\bin>mallet train-classifier --input revised.mallet --training-portion
0.9
Training portion = 0.9
 Unlabeled training sub-portion = 0.0
Validation portion = 0.0
Testing portion = 0.09999999999999998

-------------------- Trial 0  --------------------

Trial 0 Training NaiveBayesTrainer with 19 instances
Trial 0 Training NaiveBayesTrainer finished
Trial 0 Trainer NaiveBayesTrainer training data accuracy= 0.5789473684210527
Trial 0 Trainer NaiveBayesTrainer Test Data Confusion Matrix
Confusion Matrix, row=true, column=predicted  accuracy=0.0
       label   0   1   2   3   4   5   6   7   8   9  10  11  |total
  0     plot   .   .   .   .   .   .   .   .   .   .   .   .  |0
  1 Chauhan,   .   .   .   .   .   .   .   .   .   .   .   .  |0
  2            2   .   .   .   .   .   .   .   .   .   .   .  |2
  3   DELHI:   .   .   .   .   .   .   .   .   .   .   .   .  |0
  4     It's   .   .   .   .   .   .   .   .   .   .   .   .  |0
  5        A   .   .   .   .   .   .   .   .   .   .   .   .  |0
  6  "Pichle   .   .   .   .   .   .   .   .   .   .   .   .  |0
  7      all   .   .   .   .   .   .   .   .   .   .   .   .  |0
  8  Another   .   .   .   .   .   .   .   .   .   .   .   .  |0
  9  However   .   .   .   .   .   .   .   .   .   .   .   .  |0
 10    While   .   .   .   .   .   .   .   .   .   .   .   .  |0
 11       On   .   .   .   .   .   .   .   .   .   .   .   .  |0

Trial 0 Trainer NaiveBayesTrainer test data accuracy= 0.0

NaiveBayesTrainer
Summary. train accuracy mean = 0.5789473684210527 stddev = 0.0 stderr = 0.0
Summary. test accuracy mean = 0.0 stddev = 0.0 stderr = 0.

C:\mallet\bin>mallet train-classifier --input revised.mallet --output-classifier
 newly.classifier  --trainer MaxEnt
Training portion = 1.0
 Unlabeled training sub-portion = 0.0
Validation portion = 0.0
Testing portion = 0.0

-------------------- Trial 0  --------------------

Trial 0 Training MaxEntTrainer,gaussianPriorVariance=1.0 with 21 instances
Value (labelProb=52.18303964554802 prior=0.0) loglikelihood = -52.18303964554802
Value (labelProb=35.07842643418387 prior=0.5000000000000047) loglikelihood = -35
Value (labelProb=11.041269237873143 prior=7.57975726871467) loglikelihood = -18.
Value (labelProb=8.845302279528045 prior=8.283595234589693) loglikelihood = -17.
Value (labelProb=7.684014543706313 prior=8.67398223273065) loglikelihood = -16.3
Value (labelProb=7.620229834138587 prior=8.637738965621395) loglikelihood = -16.
Value (labelProb=7.6930087796076805 prior=8.55144842287889) loglikelihood = -16.
Value (labelProb=7.721825299388809 prior=8.520013417234695) loglikelihood = -16.
Value (labelProb=7.710910984716437 prior=8.529963512671845) loglikelihood = -16.
240874497388283
Exiting L-BFGS on termination #1:
value difference below tolerance (oldValue: -16.241838716623505 newValue: -16.24
0874497388283
Value (labelProb=8.706998275573689 prior=10.051741121362099) loglikelihood = -18
Value (labelProb=7.624790808427014 prior=8.637141273540822) loglikelihood = -16.
Value (labelProb=7.700549530911232 prior=8.540231288758795) loglikelihood = -16.
Value (labelProb=7.700990051603592 prior=8.539733279705375) loglikelihood = -16.
240723331308967
Exiting L-BFGS on termination #1:
value difference below tolerance (oldValue: -16.24078081967003 newValue: -16.240
723331308967

Trial 0 Training MaxEntTrainer,gaussianPriorVariance=1.0 finished
Trial 0 Trainer MaxEntTrainer,gaussianPriorVariance=1.0 training data accuracy=
0.9523809523809523
Trial 0 Trainer MaxEntTrainer,gaussianPriorVariance=1.0 Test Data Confusion Matr
ix
Trial 0 Trainer MaxEntTrainer,gaussianPriorVariance=1.0 test data accuracy= NaN

MaxEntTrainer,gaussianPriorVariance=1.0
Summary. train accuracy mean = 0.9523809523809523 stddev = 0.0 stderr = 0.0
Summary. test accuracy mean = NaN stddev = NaN stderr = NaN
C:\mallet\bin>

THANKS FOR PULLING ME UP. I ENJOYED.

Regards,
Subhabrata.

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Some questions on Ant subhabangalore@gmail.com - 2013-05-12 12:40 -0700
  Re: Some questions on Ant Arne Vajhøj <arne@vajhoej.dk> - 2013-05-12 15:57 -0400
  Re: Some questions on Ant Jeff Higgins <jeff@invalid.invalid> - 2013-05-13 09:28 -0400
    Re: Some questions on Ant subhabangalore@gmail.com - 2013-05-13 07:25 -0700
      Re: Some questions on Ant Jeff Higgins <jeff@invalid.invalid> - 2013-05-13 13:47 -0400
        Re: Some questions on Ant Arne Vajhøj <arne@vajhoej.dk> - 2013-05-13 19:07 -0400
  Re: Some questions on Ant subhabangalore@gmail.com - 2013-05-13 15:01 -0700
    Re: Some questions on Ant Lew <lewbloch@gmail.com> - 2013-05-13 16:05 -0700
  Re: Some questions on Ant subhabangalore@gmail.com - 2013-05-13 16:38 -0700
    Re: Some questions on Ant Arne Vajhøj <arne@vajhoej.dk> - 2013-05-13 20:19 -0400
      Re: Some questions on Ant Lew <lewbloch@gmail.com> - 2013-05-13 17:24 -0700
    Re: Some questions on Ant Lew <lewbloch@gmail.com> - 2013-05-13 17:21 -0700
    Re: Some questions on Ant lipska the kat <"nospam at neversurrender dot co dot uk"> - 2013-05-14 09:43 +0100
  Re: Some questions on Ant subhabangalore@gmail.com - 2013-05-14 07:19 -0700
    Re: Some questions on Ant Lew <lewbloch@gmail.com> - 2013-05-14 11:21 -0700
      Re: Some questions on Ant subhabangalore@gmail.com - 2013-05-14 12:30 -0700
        Re: Some questions on Ant Lew <lewbloch@gmail.com> - 2013-05-14 13:08 -0700
          Re: Some questions on Ant subhabangalore@gmail.com - 2013-05-15 12:15 -0700
            Re: Some questions on Ant Lew <lewbloch@gmail.com> - 2013-05-15 12:38 -0700
              Re: Some questions on Ant subhabangalore@gmail.com - 2013-05-15 13:27 -0700
                Re: Some questions on Ant Joerg Meier <joergmmeier@arcor.de> - 2013-05-16 00:02 +0200
                Re: Some questions on Ant subhabangalore@gmail.com - 2013-05-15 23:12 -0700
                Re: Some questions on Ant Joerg Meier <joergmmeier@arcor.de> - 2013-05-16 10:20 +0200
                Re: Some questions on Ant subhabangalore@gmail.com - 2013-05-16 01:33 -0700
                Re: Some questions on Ant JLP <JLP@jlp.com> - 2013-05-16 11:25 +0200
                Re: Some questions on Ant subhabangalore@gmail.com - 2013-05-16 03:08 -0700
                Re: Some questions on Ant Joerg Meier <joergmmeier@arcor.de> - 2013-05-16 12:45 +0200
                Re: Some questions on Ant subhabangalore@gmail.com - 2013-05-16 04:04 -0700
                Re: Some questions on Ant subhabangalore@gmail.com - 2013-05-16 13:26 -0700
  Re: Some questions on Ant subhabangalore@gmail.com - 2013-05-17 14:51 -0700

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