From 45283cc5f887770c876302db4d2fa1840a35c2c3 Mon Sep 17 00:00:00 2001 From: Sasha Vukmirovich Date: Tue, 4 Aug 2015 14:07:54 +0200 Subject: [PATCH] Fix typos in README.md --- README.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index e57bbab..927189c 100644 --- a/README.md +++ b/README.md @@ -32,16 +32,16 @@ hector-cv.go will help you test one algorithm by cross validation in some datase Here, Method include 1. lr : logistic regression with SGD and L2 regularization. -2. ftrl : FTRL-proximal logistic regreesion with L1 regularization. Please review this paper for more details "Ad Click Prediction: a View from the Trenches". +2. ftrl : FTRL-proximal logistic regression with L1 regularization. Please review this paper for more details "Ad Click Prediction: a View from the Trenches". 3. ep : bayesian logistic regression with expectation propagation. Please review this paper for more details "Web-Scale Bayesian Click-Through Rate Prediction for Sponsored Search Advertising in Microsoft’s Bing Search Engine" 4. fm : factorization machine -5. cart : classifiaction tree +5. cart : classification tree 6. cart-regression : regression tree 7. rf : random forest 8. rdt : random decision trees -9. gbdt : gradient boosting decisio tree +9. gbdt : gradient boosting decision tree 10. linear-svm : linear svm with L1 regularization -11. svm : svm optimizaed by SMO (current, its linear svm) +11. svm : svm optimized by SMO (current, its linear svm) 12. l1vm : vector machine with L1 regularization by RBF kernel 13. knn : k-nearest neighbor classification