Skip to Main Content
SQL Server 2017 Developer???s Guide
book

SQL Server 2017 Developer???s Guide

by Dejan Sarka, Miloš Radivojević, William Durkin
March 2018
Intermediate to advanced content levelIntermediate to advanced
816 pages
19h 35m
English
Packt Publishing
Content preview from SQL Server 2017 Developer???s Guide

Predicting with logistic regression

A logistic regression model consists of input units and an output unit, which is the predicted value. Input units are combined into a single transformed output value. This calculation uses the unit's activation function. An activation function has two parts: the first part is the combination function and merges all of the inputs into a single value (weighted sum, for example); the second part is the transfer function, which transfers the value of the combination function to the output value of the unit. The transfer function is called the sigmoid or logistic function and is S-shaped. Training a logistic regression model is the process of setting the best weights on the inputs of each of the units to maximize ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

SQL Server 2016 Developer's Guide

SQL Server 2016 Developer's Guide

Miloš Radivojević, Dejan Sarka, William Durkin
Mastering SQL Server 2017

Mastering SQL Server 2017

Milos Radivojevic, Dejan Sarka, William Durkin, Christian Cote, Matija Lah

Publisher Resources

ISBN: 9781788476195Supplemental Content