What is the logistic Regression neural net in hebel

Recipe Objective - Logistic Regression neural net in Hebel?

Logistic Regression - Logistic regression is used when the dependent variable is categorical. So we can say logistic regression is a relationship between the one dependent categorical variable with one or more nominal, ordinal, interval variables.

Neural Net - Neural network is a circuit of neurons or in a broader sense, an Artificial Neural Network composes of nodes that are the basis of deep learning inspired by the human brain in the same way biologically created neurons signal each other, used in solving artificial intelligence problems. Neural networks comprise node layers, with an input layer, one or more hidden layers, and finally an output layer. Node assigns a number to its incoming connection known as 'weight'. 

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https://www.dezyre.com/projects/data-science-projects/data-science-projects-in-python
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Logistic Regression:-

class hebel.models.LogisticRegression(n_in, n_out, test_error_fct='class_error')