Dear Group, I am looking for an example of Maximum Likelihood Implementation(MLE), in Python preferably in statsmodels,scikits,scipy or numpy. It may be there is any new module then please let me know.

Thanking you in Advance, Regards, Subhabrata.

NB: I am using Python2.7 on Windows 7.

asked Feb 01 '13 at 12:09

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Subhabrata Banerjee
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closed Feb 01 '13 at 12:12

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Alexandre Passos ♦
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Hi Alexandre, Seeing after long days. Hope things are fine. Why did you close it? Regards, Subhabrata.

(Feb 01 '13 at 12:33) Subhabrata Banerjee

The question has been closed for the following reason "Question is off-topic or not relevant" ..... This is the reason

(Feb 01 '13 at 14:24) Kuri_kuri

Maximum Likelihood Estimation(MLE) is a principle used in NLP. It is a Statistical Method. Python is a programming language which has various libraries which implements it scikits is one of them, it is a principle of machine learning, it is a Machine Learning model. Any tag went wrong? I did not get it. Please suggest. Regards,Subhabrata.

(Feb 02 '13 at 04:14) Subhabrata Banerjee

Maximum likelihood estimation is not just one thing, it's many things. For each model the maximum likelihood estimate is different. The libraries which you yourself cited come out-of-the-box with maximum likelihood (and other) estimators for many problems, so I don't understand what is your question.

Have you tried looking at their documentation?

(Feb 02 '13 at 15:03) Alexandre Passos ♦

The question has been closed for the following reason "Question is off-topic or not relevant" by Alexandre Passos Feb 01 '13 at 12:12

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