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Found using `codespell -q 3 -S ./3rdparty -L activ,amin,ang,atleast,childs,dof,endwhile,halfs,hist,iff,nd,od,uint`

backporting of commit: ec43292e1e
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luz.paz
2019-08-15 18:02:09 -04:00
committed by Alexander Alekhin
parent 7df3141bbc
commit fcc7d8dd4e
67 changed files with 83 additions and 83 deletions
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modules/ml/doc/ml_intro.markdown
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@@ -433,7 +433,7 @@ Logistic Regression {#ml_intro_lr}
ML implements logistic regression, which is a probabilistic classification technique. Logistic
Regression is a binary classification algorithm which is closely related to Support Vector Machines
(SVM). Like SVM, Logistic Regression can be extended to work on multi-class classification problems
like digit recognition (i.e. recognizing digitis like 0,1 2, 3,... from the given images). This
like digit recognition (i.e. recognizing digits like 0,1 2, 3,... from the given images). This
version of Logistic Regression supports both binary and multi-class classifications (for multi-class
it creates a multiple 2-class classifiers). In order to train the logistic regression classifier,
Batch Gradient Descent and Mini-Batch Gradient Descent algorithms are used (see