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[ 原始碼: python-thinc  ]

套件:python3-thinc(8.1.7-1)

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Practical Machine Learning for NLP in Python

Thinc is the machine learning library powering spaCy <https://spacy.io>. It features a battle-tested linear model designed for large sparse learning problems, and a flexible neural network model under development for spaCy v2.0 <https://spacy.io/usage/v2>.

Thinc is a practical toolkit for implementing models that follow the "Embed, encode, attend, predict" architecture. It's designed to be easy to install, efficient for CPU usage and optimised for NLP and deep learning with text – in particular, hierarchically structured input and variable-length sequences.

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硬體架構 套件大小 安裝後大小 檔案
amd64 577。7 kB2,922。0 kB [檔案列表]
arm64 520。2 kB2,972。0 kB [檔案列表]
armhf 521。1 kB2,410。0 kB [檔案列表]
i386 565。2 kB2,992。0 kB [檔案列表]
mips64el 490。2 kB3,131。0 kB [檔案列表]
s390x 500。7 kB2,895。0 kB [檔案列表]