From ad77bee5859a23d9d4e3b0afc32439bae016ce42 Mon Sep 17 00:00:00 2001 From: Andrei Stoian <95410270+andrei-stoian-zama@users.noreply.github.com> Date: Wed, 19 Jun 2024 18:09:21 +0200 Subject: [PATCH] fix: Update docs/built-in-models/training.md Co-authored-by: yuxizama <157474013+yuxizama@users.noreply.github.com> --- docs/built-in-models/training.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/built-in-models/training.md b/docs/built-in-models/training.md index 810d50bbf..854944771 100644 --- a/docs/built-in-models/training.md +++ b/docs/built-in-models/training.md @@ -4,7 +4,7 @@ This document explains how to train [SGD Logistic Regression](../references/api/ Training on encrypted data is done through an FHE program that is generated by Concrete ML, based on the characteristics of the data that are given to the `fit` function. The FHE program associated to a `SGDClassifier` object, once it is fit on the encrypted data, is specific to the distribution and the dimensionality of that data. -When deploying encrypted training services, developers need to consider the type of data that future users of their services will train on: +When deploying encrypted training services, you need to consider the type of data that future users of your services will train on: - the distribution of the data should match to achieve good accuracy - the dimensionality of the data needs to match since the deployed FHE programs are compiled for a fixed number of dimensions.