gnes.encoder.numeric.hash module

class gnes.encoder.numeric.hash.HashEncoder(num_bytes, num_bits=8, num_idx=3, kmeans_clusters=100, method='product_uniform', *args, **kwargs)[source]

Bases: gnes.encoder.base.BaseNumericEncoder

batch_size = 2048
encode(vecs, *args, **kwargs)[source]
Return type:ndarray
hash(vecs)[source]
pred_kmeans(vecs)[source]
ran_gen()[source]
train(vecs, *args, **kwargs)[source]

Train the model, need to be overrided

train_kmeans(vecs)[source]