Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...

Abstract: This paper studies the discriminant modeling method for the constrained data. We propose the multinomial logit partial least squares (ML-PLS) regression of compositional data by implementing ...

Abstract: Multinomial logit model(MLM) has been proposed as the most frequently regression model for multi-category response. To deal with correlated data, in this paper we propose ...

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Create examples for the Multinomial Models section in the Python documentation #8905 Closed exalate-issue-sync opened on May 12, 2023 ...