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  "Title": "Customized Training for Lasso and Elastic-Net Regularized\nGeneralized Linear Models",
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  "Description": "Customized training is a simple technique for transductive\nlearning, when the test covariates are known at the time of\ntraining. The method identifies a subset of the training set to\nserve as the training set for each of a few identified subsets\nin the training set. This package implements customized\ntraining for the glmnet() and cv.glmnet() functions.",
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  "Encoding": "UTF-8",
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    "User": "root"
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      "title": "Visualize variables selected in each customized training subset, from a cross-validated model",
      "topics": [
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    },
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      "page": "predict.customizedGlmnet",
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      "topics": [
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      "page": "print.cv.customizedGlmnet",
      "title": "Print a ``cv.customizedGlmnet'' object",
      "topics": [
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    },
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