https://github.com/thiyangt/pruner

Reduce size of pre-trained machine learning models
https://github.com/thiyangt/pruner

Last synced: 20 days ago
JSON representation

Reduce size of pre-trained machine learning models

• Host: GitHub
• URL: https://github.com/thiyangt/pruner
• Owner: thiyangt
• Created: 2019-12-13T00:31:04.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2019-12-15T22:51:08.000Z (about 5 years ago)
• Last Synced: 2024-10-30T04:59:19.914Z (2 months ago)
• Language: R
• Homepage:
• Size: 5.86 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.Rmd

Awesome Lists containing this project

README

        
---

output:

  md_document:

    variant: markdown_github

---

```{r, echo = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "README-"

)

```

# pruner

Reduces the size of a pre-trained machine learning models

You can install seer from github with:

```{r}

# install.packages("devtools")

#devtools::install_github("thiyangt/pruner")

library(pruner)

```

## Usage

```{r}

set.seed(71)

data(iris)

iris.rf <- randomForest::randomForest(Species ~ ., data=iris, importance=TRUE,proximity=TRUE)

s1 <- object.size(iris.rf)

print(s1, units = "auto")

prune_iris <- prune_rf(iris.rf)

s2 <- object.size(prune_iris)

print(s2, units = "auto")

```