caret includes several functions to pre-process the predictor data. It assumes that all of the data are numeric (i.e. factors have been converted to dummy variables via model.matrix, dummyVars or other means).

Caret dummyvars

Apr 15, 2017 · The above two properties are shared with caret::dummyVars(). Additional features of vtreat::designTreatmentsZ (that differ from caret::dummyVars()‘s choices) include: No NA values are passed through by vtreat::prepare(). NA presence is added as an additional informative column. A few derived columns (such as pooling of rare levels are made ... 既に深層学習は、chainerやtensorflowなどのフレームワークを通して誰の手にも届くようになっています。機械学習も深層学習も、あまりよくわからないが試してみたいなという人が数多くいるように思います。そして、実際に試している人たちもたくさん居るでしょう。 そんなときにぶち当たる壁 ...

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Use caret dummyVars function for hot one encoding for categorical features library(caret). Setting up caret model training parameters using 'caret' package Model specific training parameter.
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Caret dummyvars

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Caret dummyvars