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  "Package": "ELMR",
  "Title": "Extreme Machine Learning (ELM)",
  "Version": "1.0",
  "Authors@R": "person(\"Alessio\", \"Petrozziello\", email = \"alessio.petrozziello@port.ac.uk\", role = c(\"aut\", \"cre\"))",
  "Author": "Alessio Petrozziello [aut, cre]",
  "Maintainer": "Alessio Petrozziello <alessio.petrozziello@port.ac.uk>",
  "Description": "Training and prediction functions are provided for the\nExtreme Learning Machine algorithm (ELM). The ELM use a Single\nHidden Layer Feedforward Neural Network (SLFN) with random\ngenerated weights and no gradient-based backpropagation. The\ntraining time is very short and the online version allows to\nupdate the model using small chunk of the training set at each\niteration. The only parameter to tune is the hidden layer size\nand the learning function.",
  "License": "GPL-2 | GPL-3",
  "RoxygenNote": "5.0.1",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-25 09:05:32 UTC",
    "User": "root"
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  "Repository": "https://sojers92.r-universe.dev",
  "Date/Publication": "2015-11-28 14:53:50 UTC",
  "RemoteUrl": "https://github.com/cran/ELMR",
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  "_type": "src",
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  "_published": "2026-05-25T09:08:28.009Z",
  "_distro": "noble",
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  "_buildurl": "https://github.com/r-universe/sojers92/actions/runs/26392596145",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/cran/ELMR",
  "_commit": {
    "id": "90f2c9c2b2e1c90c1e7bd63fd159ba3a4c63cbe7",
    "author": "Alessio Petrozziello <alessio.petrozziello@port.ac.uk>",
    "committer": "Gabor Csardi <csardi.gabor@gmail.com>",
    "message": "version 1.0\n",
    "time": 1448722430
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  "_maintainer": {
    "name": "Alessio Petrozziello",
    "email": "alessio.petrozziello@port.ac.uk",
    "login": "sojers92",
    "description": "",
    "uuid": 29329928
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  "_dependencies": [
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      "version": ">= 3.2.2",
      "role": "Depends"
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  "_owner": "cran",
  "_selfowned": true,
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  "_updates": [],
  "_tags": [],
  "_stars": 1,
  "_contributors": [
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  "_downloads": {
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    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/ELMR"
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  "_rbuild": "4.6.0",
  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/ELMR.html",
    "manual.pdf"
  ],
  "_realowner": "sojers92",
  "_cranurl": false,
  "_releases": [
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      "version": "1.0",
      "date": "2015-11-28"
    }
  ],
  "_exports": [
    "OSelm_train.formula",
    "OSelm_training",
    "predict_elm",
    "preProcess"
  ],
  "_help": [
    {
      "page": "OSelm_train.formula",
      "title": "Trains an extreme learning machine with random weights",
      "topics": [
        "OSelm_train.formula"
      ]
    },
    {
      "page": "OSelm_training",
      "title": "Trains an online sequential extreme learning machine with random weights",
      "topics": [
        "OSelm_training"
      ]
    },
    {
      "page": "predict_elm",
      "title": "Prediction function for the ELM model generated with the elm_training() function",
      "topics": [
        "predict_elm"
      ]
    },
    {
      "page": "preProcess",
      "title": "Pre processing function for the training and test data set. Each numeric variable is standardized between -1 and 1 and each categorical variable is coded with a dummy coding.",
      "topics": [
        "preProcess"
      ]
    }
  ],
  "_rundeps": [],
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  "_indexed": true,
  "_nocasepkg": "elmr",
  "_universes": [
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