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Thank you for your reply, I will take a look at this
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Thanks for reaching out! I suggest that you try to run the BA865_Final_project_deliverable.ipynb and more instructions are shown in the README.md. Let me know if you have more questions.
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Thank you for your reply.
Right now, let's say I want to play around with this code, and try to understand it. Let's say if I have an input like the following sentences, how can I put in your model and do the outcome prediction?
petitioner: BCI Coca-Cola Bottling Company of Los Angeles
respondent: Equal Employment Opportunity Commission
facts: A jury found Randall Fields guilty of two counts of third-degree criminal sexual conduct for the sexual abuse of a thirteen-year-old child. Fields was in jail on a disorderly charge when Lenawee County, Michigan deputies questioned him about allegations of sex with a minor. The sex case was unrelated to the one Fields was in jail for at the time. Fields filed an appeal of right in the Michigan Court of Appeals claiming that his statements were inadmissible because he had not been given his Miranda warnings before questioning. The state court reasoned that because Fields was free to return to the jail and was questioned on a matter unrelated to his incarceration, there was no obligation to provide him warnings under Miranda. Fields then filed a petition for a writ of habeas corpus under 28 you.S.c. § 2254 claiming that his Fifth Amendment right against self-incrimination was violated, and the you.S. District Court agreed. The United States Court of Appeals for the Sixth Circuit affirmed.
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Hi Tizzzzy, I am willing to answer your question. First of all, I think the petitioner and respondent are not related to the facts you provided. However, I still try to run your data point in the model and the result is shown below.
I also uploaded a another notebook in this chat and you may check it out later for your future model prediction.
BA865_Final_project_deliverable - Jupyter Notebook.pdf
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