From f1b4811be20c4f0ccf45398508086bfe6ab73893 Mon Sep 17 00:00:00 2001 From: lpmi-13 Date: Fri, 19 Oct 2018 22:14:37 +0100 Subject: [PATCH] fix simple typo --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 27f1f7d..3042a66 100644 --- a/README.md +++ b/README.md @@ -54,7 +54,7 @@ Note, that if the bundled libsvm is used, the instructions about the libsvm setu The basic process is to define parameters, supply training data to generate a model on, then make predictions based on the model. There are a default set of parameters that should get some results with most any input, so we'll start by looking at the data. -Data is supplied in either a file, a stream, or as an an array. If supplied in a file or a stream, it must contain one line per training example, which must be formatted as an integer class (usually 1 and -1) followed by a series of feature/value pairs, in increasing feature order. The features are integers, the values floats, usually scaled 0-1. For example: +Data is supplied in either a file, a stream, or as an array. If supplied in a file or a stream, it must contain one line per training example, which must be formatted as an integer class (usually 1 and -1) followed by a series of feature/value pairs, in increasing feature order. The features are integers, the values floats, usually scaled 0-1. For example: -1 1:0.43 3:0.12 9284:0.2