From b7414999be6e880edb1c65cb4bd3a375ba796ec1 Mon Sep 17 00:00:00 2001
From: rahul-brahmin <67756376+rahul-brahmin@users.noreply.github.com>
Date: Thu, 1 Oct 2020 00:21:38 +0530
Subject: [PATCH] Update README.md

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-# Factorization Machines in Python
+# Factorization Machines in Python  - Simple and easy to use
 
 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."