From d5e9b1d4eadf9831cba51b3ef52106696c3082f1 Mon Sep 17 00:00:00 2001 From: Boliang Chen Date: Sun, 11 Jan 2015 13:08:52 +0800 Subject: [PATCH] delete hadoop conf --- .../mushroom.hadoop.conf | 31 ------------------- 1 file changed, 31 deletions(-) delete mode 100644 demo/binary_classification/mushroom.hadoop.conf diff --git a/demo/binary_classification/mushroom.hadoop.conf b/demo/binary_classification/mushroom.hadoop.conf deleted file mode 100644 index 1dffe4f8d..000000000 --- a/demo/binary_classification/mushroom.hadoop.conf +++ /dev/null @@ -1,31 +0,0 @@ -# General Parameters, see comment for each definition -# choose the booster, can be gbtree or gblinear -booster = gbtree -# choose logistic regression loss function for binary classification -objective = binary:logistic - -# Tree Booster Parameters -# step size shrinkage -eta = 1.0 -# minimum loss reduction required to make a further partition -gamma = 1.0 -# minimum sum of instance weight(hessian) needed in a child -min_child_weight = 1 -# maximum depth of a tree -max_depth = 3 - -# Task Parameters -# the number of round to do boosting -num_round = 2 -# 0 means do not save any model except the final round model -save_period = 0 -# The path of training data -data = "agaricus.txt.train" - -# The following parameters are not supported by xgboost running in hadoop yet! -# The path of validation data, used to monitor training process, here [test] sets name of the validation set -#eval[test] = "agaricus.txt.test" -# evaluate on training data as well each round -#eval_train = 1 -# The path of test data -#test:data = "agaricus.txt.test"