Commit 4ec69d0

authored

Update README.md

1 parent 8549e8f commit 4ec69d0Copy full SHA for 4ec69d0

File tree

-4

lines changed

-4

lines changed

Lines changed: 5 additions & 4 deletions

Original file line number	Diff line number	Diff line change
`@@ -19,11 +19,11 @@ This paper and code will help industrial users, data analysts, and researchers t`
`19`	`19`	`Sample code for hyper-parameter optimization implementation for machine learning algorithms is provided in this repository.`
`20`	`20`
`21`	`21`	`Sample code for Regression problems`
`22`		`-[HPO_Regression.ipynb]`
`23`		`-Dataset used: [Boston-Housing]`
	`22`	`+[HPO_Regression.ipynb](https://www.google.ca/)`
	`23`	`+Dataset used: [Boston-Housing](https://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_boston.html)`
`24`	`24`	`Sample code for Classification problems`
`25`		`-[HPO_Classification.ipynb]`
`26`		`-Dataset used: [MNIST]`
	`25`	`+[HPO_Classification.ipynb](https://www.google.ca/)`
	`26`	`+Dataset used: [MNIST](https://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_digits.html#sklearn.datasets.load_digits)`
`27`	`27`
`28`	`28`	`Machine learning algorithms used:`
`29`	`29`	`* Random forest (RF)`
`@@ -51,4 +51,5 @@ Dataset used: [MNIST]`
`51`	`51`
`52`	`52`	`## Citation`
`53`	`53`	`If you find this repository useful in your research, please cite:`
	`54`	`+`
`54`	`55`	`L. Yang and A. Shami, "On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice," Neurocomputing, 2020.`

Comments

(0)