Comments (1)
not similar code
Reference c language version implementation
Designed different APIs
Implemented with kotlin, the code is more readable
Added flexible APIs such as WordSplitter
Support custom file format, mmap open fast
from fasttext4j.
Related Issues (20)
- fasttext的序列化 HOT 4
- 训练词向量时,请问如何调整bucket参数,谢谢! HOT 3
- 如何评估测试集? HOT 2
- MAX_VOCAB_SIZE 过大导致java 内存溢出 HOT 8
- 相同模型文件(官方 c++ 训练的 ftz), 预测结果不一致 HOT 8
- load 官方python版bin classifier 报错 HOT 3
- 您能提供全java代码吗?Kotlin不熟,还需要时间学习,如果java就直接上手撸了,程序员都喜欢这样。。。:) HOT 1
- cutoff and retrain args missing while quantizing HOT 2
- TrainArgs中wordNgrams参数设置
- nnSearch and analogies does not return the specified k HOT 1
- Automatic hyperparameter optimization HOT 2
- IllegalArgumentException "Unknown EntryType enum second" when loading saved model.
- train和predict好用,单没有找到test方法, HOT 2
- How to load crawl-300d-2M-subword.zip vector? HOT 1
- 模型测试问题 HOT 1
- 加载模型出错 HOT 6
- This library returns wrong vectors when reading from cpp binary
- 预训练词向量没有生效 HOT 1
- FastText训练速度慢 HOT 1
- 在python版中用到了reduce_model在这里没有找到 HOT 1
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from fasttext4j.