- R Deep Learning Essentials
- Mark Hodnett Joshua F. Wiley
- 58字
- 2021-08-13 15:34:32
The eval.metric and eval.data parameters
These two parameters control what data and which metric are used to evaluate the model. eval.metric is equivalent to the cost function we used in our code. eval.data is used if you want to evaluate the model on a holdout dataset that is not used in training.
推薦閱讀
- 觸摸屏實用技術(shù)與工程應(yīng)用
- 筆記本電腦維修不是事兒(第2版)
- 分布式系統(tǒng)與一致性
- 筆記本電腦使用、維護與故障排除從入門到精通(第5版)
- 固態(tài)存儲:原理、架構(gòu)與數(shù)據(jù)安全
- Building 3D Models with modo 701
- 電腦高級維修及故障排除實戰(zhàn)
- Source SDK Game Development Essentials
- Internet of Things Projects with ESP32
- LPC1100系列處理器原理及應(yīng)用
- The Machine Learning Workshop
- 從企業(yè)級開發(fā)到云原生微服務(wù):Spring Boot實戰(zhàn)
- 主板維修實踐技術(shù)
- DevOps實戰(zhàn):VMware管理員運維方法、工具及最佳實踐
- Machine Learning Projects for Mobile Applications