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  "Author": "Tammo Krueger, Mikio Braun",
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  "Description": "The fast cross-validation via sequential testing (CVST)\nprocedure is an improved cross-validation procedure which uses\nnon-parametric testing coupled with sequential analysis to\ndetermine the best parameter set on linearly increasing subsets\nof the data. By eliminating under-performing candidates quickly\nand keeping promising candidates as long as possible, the\nmethod speeds up the computation while preserving the\ncapability of a full cross-validation. Additionally to the CVST\nthe package contains an implementation of the ordinary k-fold\ncross-validation with a flexible and powerful set of helper\nobjects and methods to handle the overall model selection\nprocess. The implementations of the Cochran's Q test with\npermutations and the sequential testing framework of Wald are\ngeneric and can therefore also be used in other contexts.",
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    "noisySinc",
    "noisySine",
    "plotSequence",
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    "testSequence"
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      "page": "CVST-package",
      "title": "Fast Cross-Validation via Sequential Testing",
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        "CVST-package",
        "CVST"
      ]
    },
    {
      "page": "cochranq.test",
      "title": "Cochran's Q Test with Permutation",
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        "cochranq.test"
      ]
    },
    {
      "page": "constructCVSTModel",
      "title": "Setup for a CVST Run.",
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        "getN",
        "getSubset",
        "getX",
        "isClassification",
        "isRegression",
        "shuffleData"
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      "title": "Construction of Specific Learners for CVST",
      "topics": [
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        "constructKRRLearner",
        "constructLearner",
        "constructSVMLearner",
        "constructSVRLearner"
      ]
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      "title": "Construct a Grid of Parameters",
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      "title": "Construct and Handle Sequential Tests.",
      "topics": [
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        "getCVSTTest",
        "plotSequence",
        "testSequence"
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      "page": "CV",
      "title": "Perform a k-fold Cross-validation",
      "topics": [
        "CV"
      ]
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    {
      "page": "fastCV",
      "title": "The Fast Cross-Validation via Sequential Testing (CVST) Procedure",
      "topics": [
        "fastCV"
      ]
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      "title": "Generate Donoho's Toy Data Sets",
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        "bumps",
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        "heavisine",
        "noisyDonoho"
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        "noisySine"
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