From a97d148a91597721457acd9524c734de5b863117 Mon Sep 17 00:00:00 2001
From: jagritshingari <63725879+jagritshingari@users.noreply.github.com>
Date: Thu, 1 Oct 2020 15:20:19 +0530
Subject: [PATCH] Update README.md

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 # Factorization Machines in Python
+very useful if read carefully.All instructions are important 
 
 This is a python implementation of Factorization Machines [1]. This uses stochastic gradient descent with adaptive regularization as a learning method, which adapts the regularization automatically while training the model parameters. See [2] for details. From libfm.org: "Factorization machines (FM) are a generic approach that allows to mimic most factorization models by feature engineering. This way, factorization machines combine the generality of feature engineering with the superiority of factorization models in estimating interactions between categorical variables of large domain."