From 8055bac79555853f8fb78bca2e85d49dd8120a6e Mon Sep 17 00:00:00 2001 From: berkgokden Date: Mon, 21 May 2018 21:33:58 +0200 Subject: [PATCH] Readme modifications --- README.md | 11 ++++++++++- 1 file changed, 10 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 165d317..2fbfa62 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ # veri -Probabilistically scaling vector spaces +Probabilistically Scaling Vector Spaces Veri as a cluster can hold a Vector Space with fixed dimension and allows easy querying of k nearest neighbour search queries and also querying a sample space to be used in a machine learning algorithm. @@ -36,3 +36,12 @@ and return. if a search comes with the same id received, query is rejected to avoid infinite recursions. This behaviour will be replaced with cached results and checking timeout. Every knn query has a timeout and timeout defines the precision of the result. User can trade the precision for time. In production users usually want a predictable response time. Since every Veri instance keeps a statistically identical in most classification case you will get the same result. + +TODO: +- Add Dump data function to allow machine learning algorithms to get a Sample Space. +- Add Query Caching and Return Cached Result instead of rejecting result. +- Add Internal classification endpoint. +- Authentication. +- Documentation. + +Contact me for any questions: berkgokden@gmail.com