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  "Title": "Stochastic Limited Memory Quasi-Newton Optimizers",
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  "Author": "David Cortes",
  "Maintainer": "David Cortes <david.cortes.rivera@gmail.com>",
  "URL": "https://github.com/david-cortes/stochQN",
  "BugReports": "https://github.com/david-cortes/stochQN/issues",
  "Description": "Implementations of stochastic, limited-memory quasi-Newton\noptimizers, similar in spirit to the LBFGS (Limited-memory\nBroyden-Fletcher-Goldfarb-Shanno) algorithm, for smooth\nstochastic optimization. Implements the following methods:\noLBFGS (online LBFGS) (Schraudolph, N.N., Yu, J. and Guenter,\nS., 2007\n<http://proceedings.mlr.press/v2/schraudolph07a.html>), SQN\n(stochastic quasi-Newton) (Byrd, R.H., Hansen, S.L., Nocedal,\nJ. and Singer, Y., 2016 <arXiv:1401.7020>), adaQN (adaptive\nquasi-Newton) (Keskar, N.S., Berahas, A.S., 2016,\n<arXiv:1511.01169>). Provides functions for easily creating R\nobjects with partial_fit/predict methods from some given\nobjective/gradient/predict functions. Includes an example\nstochastic logistic regression using these optimizers. Provides\nheader files and registered C routines for using it directly\nfrom C/C++.",
  "License": "BSD_2_clause + file LICENSE",
  "NeedsCompilation": "yes",
  "RoxygenNote": "6.1.1",
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  "Date/Publication": "2021-09-26 03:10:02 UTC",
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    "email": "david.cortes.rivera@gmail.com",
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  "_topics": [
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    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
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    "manual.pdf"
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      "date": "2019-08-29"
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      "date": "2019-09-05"
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    "adaQN_free",
    "get_curr_x",
    "get_iteration_number",
    "oLBFGS",
    "oLBFGS_free",
    "partial_fit",
    "partial_fit_logistic",
    "run_adaQN_free",
    "run_oLBFGS_free",
    "run_SQN_free",
    "SQN",
    "SQN_free",
    "stochastic.logistic.regression",
    "update_fun",
    "update_gradient",
    "update_hess_vec"
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    {
      "page": "adaQN",
      "title": "adaQN guided optimizer",
      "topics": [
        "adaQN"
      ]
    },
    {
      "page": "adaQN_free",
      "title": "adaQN Free-Mode Optimizer",
      "topics": [
        "adaQN_free"
      ]
    },
    {
      "page": "coef.stoch_logistic",
      "title": "Retrieve fitted coefficients from stochastic logistic regression object",
      "topics": [
        "coef.stoch_logistic"
      ]
    },
    {
      "page": "get_curr_x",
      "title": "Get current values of the optimization variables",
      "topics": [
        "get_curr_x"
      ]
    },
    {
      "page": "get_iteration_number",
      "title": "Get current iteration number from the optimizer object",
      "topics": [
        "get_iteration_number"
      ]
    },
    {
      "page": "oLBFGS",
      "title": "oLBFGS guided optimizer",
      "topics": [
        "oLBFGS"
      ]
    },
    {
      "page": "oLBFGS_free",
      "title": "oLBFGS Free-Mode Optimizer",
      "topics": [
        "oLBFGS_free"
      ]
    },
    {
      "page": "partial_fit",
      "title": "Partial fit stochastic model to new data",
      "topics": [
        "partial_fit"
      ]
    },
    {
      "page": "partial_fit_logistic",
      "title": "Update stochastic logistic regression model with new batch of data",
      "topics": [
        "partial_fit_logistic"
      ]
    },
    {
      "page": "predict.stoch_logistic",
      "title": "Prediction function for stochastic logistic regression",
      "topics": [
        "predict.stoch_logistic"
      ]
    },
    {
      "page": "predict.stochQN_guided",
      "title": "Predict function for stochastic optimizer object",
      "topics": [
        "predict.stochQN_guided"
      ]
    },
    {
      "page": "print.adaQN",
      "title": "Print summary info about adaQN guided-mode object",
      "topics": [
        "print.adaQN"
      ]
    },
    {
      "page": "print.adaQN_free",
      "title": "Print summary info about adaQN free-mode object",
      "topics": [
        "print.adaQN_free"
      ]
    },
    {
      "page": "print.oLBFGS",
      "title": "Print summary info about oLBFGS guided-mode object",
      "topics": [
        "print.oLBFGS"
      ]
    },
    {
      "page": "print.oLBFGS_free",
      "title": "Print summary info about oLBFGS free-mode object",
      "topics": [
        "print.oLBFGS_free"
      ]
    },
    {
      "page": "print.SQN",
      "title": "Print summary info about SQN guided-mode object",
      "topics": [
        "print.SQN"
      ]
    },
    {
      "page": "print.SQN_free",
      "title": "Print summary info about SQN free-mode object",
      "topics": [
        "print.SQN_free"
      ]
    },
    {
      "page": "print.stoch_logistic",
      "title": "Print general info about stochastic logistic regression object",
      "topics": [
        "print.stoch_logistic"
      ]
    },
    {
      "page": "run_adaQN_free",
      "title": "Run adaQN optimizer in free-mode",
      "topics": [
        "run_adaQN_free"
      ]
    },
    {
      "page": "run_oLBFGS_free",
      "title": "Run oLBFGS optimizer in free-mode",
      "topics": [
        "run_oLBFGS_free"
      ]
    },
    {
      "page": "run_SQN_free",
      "title": "Run SQN optimizer in free-mode",
      "topics": [
        "run_SQN_free"
      ]
    },
    {
      "page": "SQN",
      "title": "SQN guided optimizer",
      "topics": [
        "SQN"
      ]
    },
    {
      "page": "SQN_free",
      "title": "SQN Free-Mode Optimizer",
      "topics": [
        "SQN_free"
      ]
    },
    {
      "page": "stochastic.logistic.regression",
      "title": "Stochastic Logistic Regression",
      "topics": [
        "stochastic.logistic.regression"
      ]
    },
    {
      "page": "summary.stoch_logistic",
      "title": "Print general info about stochastic logistic regression object",
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      ]
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    },
    {
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