Metadata-Version: 2.1
Name: deepneighbor
Version: 0.1.7
Summary: embedding-based item nearest neighborhoods extraction
Home-page: https://github.com/LouisBIGDATA/deepneighbor
Author: Yufeng Wang
Author-email: louiswang524@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.4
Description-Content-Type: text/markdown
Requires-Dist: h5py
Requires-Dist: requests
Requires-Dist: gensim (==3.7.0)
Requires-Dist: joblib (==0.13.0)
Requires-Dist: fastdtw (==0.3.2)
Requires-Dist: tqdm
Requires-Dist: numpy
Requires-Dist: scikit-learn
Requires-Dist: pandas
Requires-Dist: matplotlib
Requires-Dist: annoy

# DeepNeighbor

DeepNeighbor is a **Easy-to-use**,**Modular** and **Extendible** package of deep-learning based models along with lots of core components layers which can be used to easily build custom models.You can use any complex model with `model.fit()`，and `model.predict()` .


