Set `library_name` to `tf-keras`.
Browse filesModel 'keras-io/TF_Decision_Trees' seems to be compatible only with "Keras 2" and not "Keras 3". To distinguish them, models compatible with legacy Keras 2.x should be tagged as `tf-keras` while models compatible with Keras 3.x are tagged as `keras`.
This PR updates the model card to replace the explicit `library_name: keras` metadata which is now outdated by `library_name: tf-keras`. Updating this metadata will facilitate its discoverability and usage.
For more information about `keras` and `tf-keras` library names, check out this pull request: https://github.com/huggingface/huggingface.js/pull/774.
README.md
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---
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tags:
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- tabular-classification
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- keras
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- tensorflow
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library_name: keras
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license: apache-2.0
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metrics:
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- accuracy
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model-index:
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- name: TF_Decision_Trees
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results:
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- task:
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type: structured-data-classification
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dataset:
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type: census
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name: Census-Income Data Set
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metrics:
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- type: accuracy
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value: 96.57
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- type: validation loss
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value: 0.227394
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---
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# TensorFlow's Gradient Boosted Trees Model for structured data classification
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---
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library_name: tf-keras
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license: apache-2.0
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metrics:
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- accuracy
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tags:
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- tabular-classification
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- tensorflow
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model-index:
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- name: TF_Decision_Trees
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results:
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- task:
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type: structured-data-classification
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dataset:
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name: Census-Income Data Set
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type: census
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metrics:
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- type: accuracy
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value: 96.57
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- type: validation loss
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value: 0.227394
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---
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# TensorFlow's Gradient Boosted Trees Model for structured data classification
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