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/ stacking_in_r_function.R
Last active
January 10, 2017 14:48
「RでStacking ー第二回：実践編ー」の記事用です。http://qiita.com/Rotten_Fruits/items/694aa533c6c5d0aa0351
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| ###関数定義-------------------------------------------------- | |
| #リストの中から正解率を取り出し平均値を算出、予測値を取り出す | |
| procAccPredL <- function(acc_and_pred_list){ | |
| acc <- mean(sapply(acc_and_pred_list[seq(1, length(acc_and_pred_list), 2)], sum)) | |
| predL <- rbindlist(acc_and_pred_list[seq(2, length(acc_and_pred_list), 2)]) | |
| predL <- predL[order(as.integer(predL$rowNo)), ] | |
| return(list(acc, predL)) | |
| } | |
| #meta featureの作成 |
RottenFruits
/ iris_3class.ipynb
Created
September 16, 2017 06:28
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RottenFruits
/ linear regression.ipynb
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September 21, 2017 10:05
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| # library | |
| library(greta) | |
| library (bayesplot) | |
| library(tidyverse) | |
| # data | |
| y <- as_data(iris$Sepal.Length) | |
| Species <-as.numeric(iris$Species) | |
| # variables and priors |
RottenFruits
/ pytorch_nueral_net.ipynb
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May 13, 2018 09:09
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RottenFruits
/ python_mf.ipynb
Created
May 20, 2018 10:17
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/ python_dmf.ipynb
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May 26, 2018 05:17
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RottenFruits
/ julia_mf.ipynb
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June 4, 2018 04:57
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RottenFruits
/ regression_julia.ipynb
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June 6, 2018 13:16
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RottenFruits
/ bayes_linear_regression.ipynb
Created
August 11, 2018 06:38
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