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    "simpute.svd",
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    "softImpute.x.Incomplete",
    "softImpute.x.matrix",
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    "Ssimpute.als",
    "Ssimpute.svd",
    "Ssvd.als",
    "svd.als"
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      "page": "biScale",
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      ]
    },
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      "topics": [
        "deBias"
      ]
    },
    {
      "page": "impute",
      "title": "make predictions from an svd object",
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        "complete,Incomplete-method",
        "complete,matrix-method",
        "impute"
      ]
    },
    {
      "page": "Incomplete",
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        "Incomplete"
      ]
    },
    {
      "page": "Incomplete-class",
      "title": "Class '\"Incomplete\"'",
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        "coerce,matrix,Incomplete-method",
        "coerce,sparseMatrix,Incomplete-method",
        "Incomplete-class"
      ]
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      "page": "lambda0",
      "title": "compute the smallest value for 'lambda' such that 'softImpute(x,lambda)' returns the zero solution.",
      "topics": [
        "lambda0",
        "lambda0,Incomplete-method",
        "lambda0,sparseMatrix-method",
        "lambda0,SparseplusLowRank-method"
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      "page": "simpute.als",
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      "title": "rdname softImpute-internal",
      "topics": [
        "simpute.svd"
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      "page": "softImpute",
      "title": "impute missing values for a matrix via nuclear-norm regularization.",
      "topics": [
        "softImpute"
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    },
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      "page": "softImpute.x.Incomplete",
      "title": "rdname softImpute-internal",
      "topics": [
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        "%*%,Matrix,SparseplusLowRank-method",
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