gangchen

import tensorflow as tf
import numpy as np

data = np.array([
  [-2.0, -1],  # Alice
  [25, 6],   # Bob
  [17, 4],   # Charlie
  [-15, -6], # Diana
])
all_y_trues = np.array([

gangchen

 All
 Abnormality of body height
 Multicystic kidney dysplasia
 Mode of inheritance
 Autosomal dominant inheritance
 Autosomal recessive inheritance
 Abnormality of female internal genitalia
 Functional abnormality of the bladder
 Recurrent urinary tract infections
 Neurogenic bladder

gangchen

# Examples for R training
# Author: Gang Chen <chengang@genomics.cn>
# Nov 2012

# Lesson 2
# vector
a <- c(1, 2, 5, 3, 6, -2, 4)
b <- c("one", "two", "three")
c <- c(TRUE, TRUE, TRUE, FALSE, TRUE, FALSE)

gangchen

svmrfeFeatureRanking = function(x,y){ 
	n = ncol(x)
	survivingFeaturesIndexes = seq(1:n) 
	featureRankedList = vector(length=n) 
	rankedFeatureIndex = n

	while(length(survivingFeaturesIndexes)>0){ 

		#train the support vector machine 
		svmModel = svm(x[, survivingFeaturesIndexes], y, cost = 10, cachesize=500,scale=F, type="C-classification", kernel="linear" )