ASSESS
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Automatic Semantic Search Engine for Suitable Standards
Bumps [scikit-learn](https://github.com/scikit-learn/scikit-learn) from 0.24.2 to 1.0.1. Release notes Sourced from scikit-learn's releases. scikit-learn 1.0.1 We're happy to announce the 1.0.1 release with several bugfixes: You can see the changelog here:...
Bumps [transformers](https://github.com/huggingface/transformers) from 4.15.0 to 4.36.0. Release notes Sourced from transformers's releases. v4.36: Mixtral, Llava/BakLlava, SeamlessM4T v2, AMD ROCm, F.sdpa wide-spread support New model additions Mixtral Mixtral is the new...
Bumps [pyarrow](https://github.com/apache/arrow) from 5.0.0 to 14.0.1. Commits ba53748 MINOR: [Release] Update versions for 14.0.1 529f376 MINOR: [Release] Update .deb/.rpm changelogs for 14.0.1 b84bbca MINOR: [Release] Update CHANGELOG.md for 14.0.1 f141709...
Bumps [tensorflow](https://github.com/tensorflow/tensorflow) from 2.7.0 to 2.11.1. Release notes Sourced from tensorflow's releases. TensorFlow 2.11.1 Release 2.11.1 Note: TensorFlow 2.10 was the last TensorFlow release that supported GPU on native-Windows. Starting...
Currently documentation is sparse. We need basic documentation of the key features (installation, running, the model, training)
Some initial exploratory paths: Cosine Similarity with n-gram (Tf-Idf) * fast * interpretability * no word sense Use paragraph to vec to model the whole texts to be matched: *...
Right now the model takes a brute force approach of calculating similarity between an SoW with all the standard abstracts. This takes a some time. We need to reduce this...
A travis testing environment should: - Build a Python 3 environment - Run a model - Make a basic API call to the model - Get decent classification results