Installation

Installing/Upgrading From the PyPI

CPU version

$ pip install malaya

GPU version

$ pip install malaya-gpu

Installing for Windows / Anaconda

If you get error about Microsoft Visual C++ during pip to install, you need to install Malaya without dependencies

$ pip install sklearn xgboost==0.8
$ pip install numpy scipy
$ pip install tensorflow
$ pip install pysastrawi
$ pip install sklearn_crfsuite
$ pip install fuzzywuzzy
$ pip install requests
$ pip install tqdm
$ pip install unidecode
$ pip install toolz
$ pip install malaya --no-deps -U

But, if you follow these steps, you cannot use Word-Mover interface and fuzzywuzzy might be slow.

Dependencies

Malaya depends on numpy, scipy, sklearn, tensorflow, xgboost, nltk, fuzzywuzzy, tqdm and toolz. Dependencies will install automatically during PIP.

Malaya depends on scikit-learn 0.19.1, any upper versions not recommended, stated by sklearn itself. You can install latest scikit-learn as you want, but it will may cause errors or models inefficiency.

From Source

Malaya is actively developed on Github.

You can clone the public repo:

git clone https://github.com/huseinzol05/malaya

Once you have the source, you can install it into your site-packages with:

python setup.py install

Python

Malaya only supported Python 3.6 and above.

GPU Environment

Deep learning Malaya trained on CUDA 9.0 and Tensorflow 1.12, supposedly any new version of CUDA and Tensorflow able to support Tensorflow 1.5 features.