From 06a32b25488275631fb324417dbe1a3d108833fb Mon Sep 17 00:00:00 2001 From: India Kerle Date: Thu, 26 Aug 2021 11:14:50 +0100 Subject: [PATCH 1/2] added s3 requirements --- requirements.txt | 3 +++ 1 file changed, 3 insertions(+) diff --git a/requirements.txt b/requirements.txt index d737792..4e7763e 100644 --- a/requirements.txt +++ b/requirements.txt @@ -21,3 +21,6 @@ nlpaug nltk pigeonXT-jupyter boto3 +s3fs +botocore +colorama \ No newline at end of file From b7f73ca52b39c2f2788c329aca92076f6031e5c1 Mon Sep 17 00:00:00 2001 From: India Kerle Date: Wed, 12 Oct 2022 10:53:03 +0100 Subject: [PATCH 2/2] added sentence classifier pkl file --- .../2021_08_16_sentence_classifier.pkl.zip | Bin 0 -> 352744 bytes outputs/sentence_classifier/README.md | 35 ++++++++++++++++++ 2 files changed, 35 insertions(+) create mode 100644 outputs/sentence_classifier/2021_08_16_sentence_classifier.pkl.zip create mode 100644 outputs/sentence_classifier/README.md diff --git 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b/outputs/sentence_classifier/README.md @@ -0,0 +1,35 @@ +# Trained Skill Sentence Classifer + +This directory contains a zipped `.pkl` file of the `2021.08.16.yaml` trained skills sentence classifier. + +To learn more about the model, its features, experiments and qualitative observations, please see the [skills_taxonomy_v2/pipeline/sentence_classifier/](https://github.com/nestauk/skills-taxonomy-v2/tree/dev/skills_taxonomy_v2/pipeline/sentence_classifier) directory. + +### Sentence classifier - 2021.08.16.yaml + +python skills_taxonomy_v2/pipeline/sentence_classifier/sentence_classifier.py --yaml_file_name 2021.08.16 + +The test results for this config were: + +Train: Took 314.79356503486633 seconds + + precision recall f1-score support + + 0 0.98 1.00 0.99 3931 + 1 1.00 0.95 0.98 1951 + + accuracy 0.98 5882 + +macro avg 0.99 0.98 0.98 5882 +weighted avg 0.98 0.98 0.98 5882 + +Test: Took 132.80465602874756 seconds + + precision recall f1-score support + + 0 0.90 0.97 0.93 694 + 1 0.93 0.78 0.85 344 + + accuracy 0.90 1038 + +macro avg 0.90 0.90 0.90 1038 +weighted avg 0.90 0.90 0.90 1038