sszuev / fasttext_java Goto Github PK

which was changed in pull request #8

at least, there is duplicated #toString() call; that is not optimal

Hi. Thanks for your work on keeping java version of fastText up-to-date.
I have an issue.
When I train model in supervised mode using pretrained vectors (wiki-news-300d-1M.vec) and then use it to classify sentences, it's result is quite different from original facebook implementation. This happens because you don't add words to dictionary in this loop in FastText.java (lines 1371-1386):

                for (int i = 0; i < n; i++) {
                    String line = in.readLine();
                    String word;
                    String[] array;
                    if (StringUtils.isEmpty(line) || (array = line.split(" ")).length == 0 || StringUtils.isEmpty(word = array[0])) {
                        throw new IllegalArgumentException("Wrong line: " + line);
                    }
                    List<Float> numbers = Arrays.stream(array).skip(1).limit(dim + 1).map(Float::parseFloat).collect(Collectors.toList());
                    if (numbers.size() < dim)
                        throw new IllegalArgumentException("Wrong numbers in the line: " + numbers.size() + ". Expected " + dim);
                    words.add(word);
                    for (int j = 0; j < numbers.size(); j++) {
                        mat.set(i, j, numbers.get(j));
                    }
                }

Could you please fix it?

Hi there,

Is there a roadmap for an non snapshot release into jitpack or other maven repo?

Cheers
George

Hello,

I want to use your version of fasttext in my poject, but i want to check before if this version handle the OOV words.

Thank in advance for your confirmation on how your code deals with the OOV during test phase
Regards

Hi there,

I run into a compile error:

FastText.java:860: error: cannot find symbol
map.forEach((f, i) -> res.put(dict.getLabel(i), f));
^
symbol: method forEach((f,i)->res[...]), f))
location: variable map of type TreeMultimap<Float,Integer>

Any hint? Thanks!

i have model trained by c++ version fastText and the model is used for predicting in java version. But the two results is much different and the result of java version is obviously wrong.

On line 76 of src/main/java/cc/fasttext/extra/ExraMain.java, org.apache.hadoop.hdfs does not exist

Hi, trying it to generate embeddings of a medium sized corpus like http://mattmahoney.net/dc/enwik8.zip does not train with less 12g of memory, aside of that the speed is 9 words/sec resulting in thousands of hours, while C++ implementation does it in 10min.

Have you ever tried to train such a big corpus?