resolving not-CRAN issues
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@@ -32,7 +32,8 @@
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#' data(agaricus.train, package='xgboost')
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#' data(agaricus.test, package='xgboost')
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#'
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#' #Both dataset are list with two items, a sparse matrix and labels (labels = outcome column which will be learned).
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#' #Both dataset are list with two items, a sparse matrix and labels
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#' (labels = outcome column which will be learned).
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#' #Each column of the sparse Matrix is a feature in one hot encoding format.
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#' train <- agaricus.train
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#' test <- agaricus.test
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