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/ style.ipynb
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September 29, 2016 02:11
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/ tensorflow.ipynb
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August 4, 2016 05:16
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/ label propagation.ipynb
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June 9, 2016 08:55
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/ deep_lstm.ipynb
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November 25, 2015 02:56
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/ keras_cnn.ipynb
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November 19, 2015 14:23
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/ text_classifier.ipynb
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May 22, 2015 01:33
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| # Learn Gradient Boosting Model by coding | |
| # good slide | |
| # http://www.ccs.neu.edu/home/vip/teach/MLcourse/4_boosting/slides/gradient_boosting.pdf | |
| # http://cran.r-project.org/web/packages/gbm/gbm.pdf | |
| #1 Gradient Boosting for Regression | |
| # generate data | |
| generate_func = function(n=1000,size=0.5){ |
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/ spark.ipynb
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April 21, 2015 12:44
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/ china_politics.R
Created
April 4, 2015 11:28
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| # 读取 | |
| df = read.csv('2014data.csv',stringsAsFactors =FALSE) | |
| df1 = df[4:53] | |
| df2 = df[54:57] | |
| # 整理 | |
| library(plyr) | |
| df1_names = names(df1) | |
| names(df1) = paste0('x',1:ncol(df1)) |
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