xx xx np meshgrid(np linspace( _minx _max)np linspace( _minx _max)grid np c_[xx ravel()xx ravel()probs model predict_prob(gridreshape(xx shapeplt contour(xx xx probs[ ]linewidths= colors='red')multinomial logistic regression model another useful form of logistic regression is multinomial logistic regression in which the target or dependent variable can have or more possible unordered types the types having no quantitative significance implementation in python now we will implement the above concept of multinomial logistic regression in python for this purposewe are using dataset from sklearn named digit firstwe need to import the necessary libraries as followsimport sklearn from sklearn import datasets from sklearn import linear_model from sklearn import metrics