beader beader

## DESCRIPTION
Title: Dynamically Remove UI Elements
Author: beader.chen@gmail.com
DisplayMode: Showcase
Type: Shiny

## conv2libsvm
#' convert a dgcMatrix to libsvm format
#' @param sm A sparse matrix of class "dgcMatrix"
#' @param label label for dataset, default is 0
#' @return a vector of characters containing index:value
#' @example
#' regMat <- matrix(runif(16), 4, 4)
#' regMat[sample(16, 5)] <- 0
#' sparseMat <- Matrix(regMat, sparse = T)
#' conv2libsvm(sparseMat)
conv2libsvm <- function(sm, label = rep(0, dim(sm)[1])) {

## id_maker.R
id_maker <- function(prefix = make_random_string()) {
  function(id) {
    paste(prefix, id, sep = "_")
  }
}

make_random_string <- function(n=1, len=12, chars=c(0:9, letters, LETTERS)) {
  randomString <- sapply(seq(n), function(i) {
    paste(sample(chars, len, replace = TRUE), collapse = "")
  })

## greenisland.geojson

      
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## points.geojson

      
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## demo.geojson

      
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## README.md

      
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    bl.ocks.org test

  
## mnist_cnn.ipynb

      
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              December 26, 2017 12:33
            
              
                Smaller strides with pooling or bigger strides without pooling?
              
          
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## mnist_cnn_hidden_layer_feature_representation_visualization.ipynb

      
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                visualize the discriminative ability of hidden layers as feature representations of original images
              
          
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## hw1.ipynb

      
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              January 4, 2018 07:39
            
              
                NTU Machine Learning 2017 Fall - Assignment 1
              
          
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	Title: Dynamically Remove UI Elements
	Author: beader.chen@gmail.com
	DisplayMode: Showcase
	Type: Shiny
	#' convert a dgcMatrix to libsvm format
	#' @param sm A sparse matrix of class "dgcMatrix"
	#' @param label label for dataset, default is 0
	#' @return a vector of characters containing index:value
	#' @example
	#' regMat <- matrix(runif(16), 4, 4)
	#' regMat[sample(16, 5)] <- 0
	#' sparseMat <- Matrix(regMat, sparse = T)
	#' conv2libsvm(sparseMat)
	conv2libsvm <- function(sm, label = rep(0, dim(sm)[1])) {
	id_maker <- function(prefix = make_random_string()) {
	function(id) {
	paste(prefix, id, sep = "_")
	}
	}

	make_random_string <- function(n=1, len=12, chars=c(0:9, letters, LETTERS)) {
	randomString <- sapply(seq(n), function(i) {
	paste(sample(chars, len, replace = TRUE), collapse = "")
	})