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KerasTokenizer.fitOnTexts doesn't preserve the words sorting #7448

MarcoGhise opened this issue Apr 5, 2019 · 2 comments


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commented Apr 5, 2019

Issue Description

With python library from keras.preprocessing import text and I execute che commands
train_posts = ['we play to grow up togheter', 'today I have had an happy to do a lot of nice things such machine learning']
follows by

I get this result for Word Indexes.
{'togheter': 6, 'play': 3, 'of': 16, 'happy': 12, 'a': 14, 'to': 1, 'machine': 20, 'do': 13, 'grow': 4, 'up': 5, 'we': 2, 'today': 7, 'nice': 17, 'an': 11, 'i': 8, 'lot': 15, 'have': 9, 'such': 19, 'had': 10, 'learning': 21, 'things': 18}

Unexpectedly, using java version with KerasTokenizer

KerasTokenizer tokenize = new KerasTokenizer(1000);
String[] itemsArray = new String[] { "we play to grow up togheter", "today I have had an happy to do a lot of nice things such machine learning" };

I get
{play=2, a=3, grow=4, happy=5, i=6, had=7, learning=8, do=9, an=10, we=11, nice=12, togheter=13, lot=14, such=15, machine=16, today=17, of=18, have=19, things=20, to=1, up=21}

That's a problem when I transform my sentence with textsToMatrix.

It'd be enough to change these lines into KerasTokenizer; from

private Map<String, Integer> wordCounts = new HashMap<>();
private HashMap<String, Integer> wordDocs = new HashMap<>();


private LinkedHashMap<String, Integer> wordCounts = new LinkedHashMap<>();
private LinkedHashMap<String, Integer> wordDocs = new LinkedHashMap<>();

and, into fitOnTexts method, from
Set<String> sequenceSet = new HashSet<>(Arrays.asList(sequence));
Set<String> sequenceSet = new LinkedHashSet<String>(Arrays.asList(sequence));

I hope this can be helpful

Version Information

Please indicate relevant versions, including, if relevant:

  • Deeplearning4j version: 1.0.0.-SNAPSHOT
  • platform information (OS, etc): Windows 10

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commented Apr 9, 2019

Fixed #7500


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commented May 9, 2019

This thread has been automatically locked since there has not been any recent activity after it was closed. Please open a new issue for related bugs.

@lock lock bot locked and limited conversation to collaborators May 9, 2019

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