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drdavidprivacy
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limitwise-model

Tabular Classification
Scikit-learn
logistic-regression
ai-governance
model-card
fairlearn
credit-risk
fairness
calibration
Model card Files
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  1. README.md +2 -2
  2. README_TEMPLATE.md +1 -1
  3. limitwise_v2.pkl +1 -1
README.md CHANGED
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  **What is in this repository**
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- - `limitwise_v2.pkl`: 18,636 bytes, SHA-256 `9010c6ff9746c5dbf9cebff4c746832864c4f2321d016cc5f3b226847882f705`
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  - `limitwise_v2_recalibrated.pkl`: 89,015 bytes, SHA-256 `b6508dfcc69ca108e3f08fc2be0843dab1d2517355970b8e622e52a34127ca37`
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  - `limitwise_v2_Inside.csv`: every fitted column with its weight, and the intercept, as a table a person can read.
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  - `Model-Card_Becker-exemplar.pdf`: the card below as a PDF.
@@ -282,4 +282,4 @@ This page carries the AI Governance Lead's exemplar so that the repository is co
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  2. Export your Model Card (your Week 6 deliverable) as a PDF and upload it to the new repository under the name `Model-Card.pdf` (Files, then Contribute, then Upload files).
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  3. Upload a `README.md`: copy `README_TEMPLATE.md` from this repository, put your name in it, and replace YOUR-ACCOUNT with your Hugging Face account name everywhere it appears (including inside the metadata block at the top, which otherwise stays as it is). The template links to your PDF. If you would rather have your card render as the page itself, paste the text of your Model Card below the metadata block instead.
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- Then add the new repository to your collection beside your Space and your dataset repository. Do not upload the Lead's exemplar, the memos, the audit briefings, the notebooks, or the data.
 
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  **What is in this repository**
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+ - `limitwise_v2.pkl`: 18,636 bytes, SHA-256 `7842edc29acd316873ffa482db705ab2ea09427f8b4e1186436713d316de8ecb`
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  - `limitwise_v2_recalibrated.pkl`: 89,015 bytes, SHA-256 `b6508dfcc69ca108e3f08fc2be0843dab1d2517355970b8e622e52a34127ca37`
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  - `limitwise_v2_Inside.csv`: every fitted column with its weight, and the intercept, as a table a person can read.
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  - `Model-Card_Becker-exemplar.pdf`: the card below as a PDF.
 
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  2. Export your Model Card (your Week 6 deliverable) as a PDF and upload it to the new repository under the name `Model-Card.pdf` (Files, then Contribute, then Upload files).
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  3. Upload a `README.md`: copy `README_TEMPLATE.md` from this repository, put your name in it, and replace YOUR-ACCOUNT with your Hugging Face account name everywhere it appears (including inside the metadata block at the top, which otherwise stays as it is). The template links to your PDF. If you would rather have your card render as the page itself, paste the text of your Model Card below the metadata block instead.
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+ Then add the new repository to your collection beside your portfolio page and your dataset repository. Do not upload the Lead's exemplar, the memos, the audit briefings, the notebooks, or the data.
README_TEMPLATE.md CHANGED
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  The model card for LimitWise v2, the version the Chief AI Officer signed in Week 6, is the PDF in this repository: [Model-Card.pdf](Model-Card.pdf).
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- The model file and its SHA-256 are in the Space: [YOUR-ACCOUNT/limitwise](https://huggingface.co/spaces/YOUR-ACCOUNT/limitwise). The data is documented in [YOUR-ACCOUNT/limitwise-data](https://huggingface.co/datasets/YOUR-ACCOUNT/limitwise-data).
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  *The organization, the system, and the people are fictional. The data is public. Educational use only.*
 
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  The model card for LimitWise v2, the version the Chief AI Officer signed in Week 6, is the PDF in this repository: [Model-Card.pdf](Model-Card.pdf).
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+ The signed model file and its SHA-256 are in the program's model repository, [drdavidprivacy/limitwise-model](https://huggingface.co/drdavidprivacy/limitwise-model), and the running model is the program's Space, [drdavidprivacy/limitwise](https://huggingface.co/spaces/drdavidprivacy/limitwise). The data is documented in [YOUR-ACCOUNT/limitwise-data](https://huggingface.co/datasets/YOUR-ACCOUNT/limitwise-data).
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  *The organization, the system, and the people are fictional. The data is public. Educational use only.*
limitwise_v2.pkl CHANGED
@@ -1,3 +1,3 @@
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- oid sha256:9010c6ff9746c5dbf9cebff4c746832864c4f2321d016cc5f3b226847882f705
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  size 18636
 
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  version https://git-lfs.github.com/spec/v1
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  size 18636