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Forked from TerrorJack/L1Regularization.sc
Last active July 31, 2017 04:09
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Revisions

  1. Atry revised this gist Jul 31, 2017. 1 changed file with 1 addition and 1 deletion.
    2 changes: 1 addition & 1 deletion README.ipynb
    Original file line number Diff line number Diff line change
    @@ -66,7 +66,7 @@
    ]
    },
    {
    "cell_type": "code",
    "cell_type": "markdown",
    "execution_count": null,
    "metadata": {
    "collapsed": true
  2. Atry revised this gist Jul 31, 2017. 1 changed file with 3 additions and 1 deletion.
    4 changes: 3 additions & 1 deletion README.ipynb
    Original file line number Diff line number Diff line change
    @@ -73,6 +73,7 @@
    },
    "outputs": [],
    "source": [
    "``` scala\n",
    "// build.sbt\n",
    "libraryDependencies += \"com.thoughtworks.deeplearning\" %% \"plugins-builtins\" % \"latest.release\"\n",
    "\n",
    @@ -90,7 +91,8 @@
    "import com.thoughtworks.feature.Factory\n",
    "import com.thoughtworks.deeplearning.plugins.Builtins\n",
    "\n",
    "val hyperparameters = Factory[Builtins with L1Regularization].newInstance(l1Regularization = 0.001)"
    "val hyperparameters = Factory[Builtins with L1Regularization].newInstance(l1Regularization = 0.001)",
    "```\n"
    ]
    }
    ],
  3. Atry revised this gist Jul 31, 2017. 1 changed file with 2 additions and 1 deletion.
    3 changes: 2 additions & 1 deletion README.ipynb
    Original file line number Diff line number Diff line change
    @@ -77,7 +77,8 @@
    "libraryDependencies += \"com.thoughtworks.deeplearning\" %% \"plugins-builtins\" % \"latest.release\"\n",
    "\n",
    "addCompilerPlugin(\"com.thoughtworks.import\" %% \"import\" % \"latest.release\")\n",
    "\n",
    "```\n",
    "``` scala\n",
    "// XXX.scala\n",
    "\n",
    "import $exec.`https://gist.github.com/Atry/843f606fc89bd4594ffcd03853c6edc6/raw/63e0f02bfbbb01caf66632ceae5a66b9dd7f444d/L1Regularization.sc`\n",
  4. Atry revised this gist Jul 27, 2017. 1 changed file with 2 additions and 2 deletions.
    4 changes: 2 additions & 2 deletions README.ipynb
    Original file line number Diff line number Diff line change
    @@ -42,7 +42,7 @@
    },
    "outputs": [],
    "source": [
    "interp.load(scala.io.Source.fromURL(new java.net.URL(\"https://gist.githubusercontent.com/TerrorJack/8154015cc0ac5cfba8e351b642ef12b3/raw/35080210cdd83f3fc0f2bb218f04549a57d2b960/L1Regularization.sc\")).mkString)"
    "interp.load(scala.io.Source.fromURL(new java.net.URL(\"https://gist.github.com/Atry/843f606fc89bd4594ffcd03853c6edc6/raw/63e0f02bfbbb01caf66632ceae5a66b9dd7f444d/L1Regularization.sc\")).mkString)"
    ]
    },
    {
    @@ -80,7 +80,7 @@
    "\n",
    "// XXX.scala\n",
    "\n",
    "import $exec.`https://gist.githubusercontent.com/TerrorJack/8154015cc0ac5cfba8e351b642ef12b3/raw/35080210cdd83f3fc0f2bb218f04549a57d2b960/L1Regularization.sc`\n",
    "import $exec.`https://gist.github.com/Atry/843f606fc89bd4594ffcd03853c6edc6/raw/63e0f02bfbbb01caf66632ceae5a66b9dd7f444d/L1Regularization.sc`\n",
    "\n",
    "import scala.concurrent.ExecutionContext.Implicits.global\n",
    "import org.nd4j.linalg.api.ndarray.INDArray\n",
  5. Atry revised this gist Jul 27, 2017. 1 changed file with 1 addition and 0 deletions.
    1 change: 1 addition & 0 deletions L1Regularization.sc
    Original file line number Diff line number Diff line change
    @@ -5,6 +5,7 @@ trait L1Regularization extends INDArrayWeights {
    this: INDArrayOptimizer =>
    abstract override def delta: INDArray = {
    import org.nd4s.Implicits._
    import org.nd4j.linalg.ops.transforms.Transforms
    super.delta + Transforms.sign(weight.data) * l1Regularization
    }
    }
  6. @TerrorJack TerrorJack revised this gist Jul 26, 2017. 1 changed file with 1 addition and 1 deletion.
    2 changes: 1 addition & 1 deletion README.ipynb
    Original file line number Diff line number Diff line change
    @@ -24,7 +24,7 @@
    },
    "outputs": [],
    "source": [
    "import $ivy.`com.thoughtworks.deeplearning::plugins-builtins:2.0.0-RC7`\n",
    "import $ivy.`com.thoughtworks.deeplearning::plugins-builtins:2.0.0`\n",
    "\n",
    "import scala.concurrent.ExecutionContext.Implicits.global\n",
    "import org.nd4j.linalg.api.ndarray.INDArray\n",
  7. @TerrorJack TerrorJack revised this gist Jul 26, 2017. 1 changed file with 10 additions and 3 deletions.
    13 changes: 10 additions & 3 deletions README.ipynb
    Original file line number Diff line number Diff line change
    @@ -19,7 +19,9 @@
    {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
    "metadata": {
    "collapsed": true
    },
    "outputs": [],
    "source": [
    "import $ivy.`com.thoughtworks.deeplearning::plugins-builtins:2.0.0-RC7`\n",
    @@ -35,7 +37,9 @@
    {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
    "metadata": {
    "collapsed": true
    },
    "outputs": [],
    "source": [
    "interp.load(scala.io.Source.fromURL(new java.net.URL(\"https://gist.githubusercontent.com/TerrorJack/8154015cc0ac5cfba8e351b642ef12b3/raw/35080210cdd83f3fc0f2bb218f04549a57d2b960/L1Regularization.sc\")).mkString)"
    @@ -73,7 +77,10 @@
    "libraryDependencies += \"com.thoughtworks.deeplearning\" %% \"plugins-builtins\" % \"latest.release\"\n",
    "\n",
    "addCompilerPlugin(\"com.thoughtworks.import\" %% \"import\" % \"latest.release\")\n",
    "import $url.{`https://gist.githubusercontent.com/TerrorJack/8154015cc0ac5cfba8e351b642ef12b3/raw/35080210cdd83f3fc0f2bb218f04549a57d2b960/L1Regularization.sc` => L1Regularization}\n",
    "\n",
    "// XXX.scala\n",
    "\n",
    "import $exec.`https://gist.githubusercontent.com/TerrorJack/8154015cc0ac5cfba8e351b642ef12b3/raw/35080210cdd83f3fc0f2bb218f04549a57d2b960/L1Regularization.sc`\n",
    "\n",
    "import scala.concurrent.ExecutionContext.Implicits.global\n",
    "import org.nd4j.linalg.api.ndarray.INDArray\n",
  8. @TerrorJack TerrorJack revised this gist Jul 26, 2017. 1 changed file with 59 additions and 3 deletions.
    62 changes: 59 additions & 3 deletions README.ipynb
    Original file line number Diff line number Diff line change
    @@ -13,7 +13,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
    "### Dependencies"
    "### Dependencies for use in Ammonite REPL"
    ]
    },
    {
    @@ -22,11 +22,67 @@
    "metadata": {},
    "outputs": [],
    "source": [
    "import $ivy.`com.thoughtworks.deeplearning::plugins-builtins:2.0.0-RC6`\n",
    "import $ivy.`com.thoughtworks.deeplearning::plugins-builtins:2.0.0-RC7`\n",
    "\n",
    "import scala.concurrent.ExecutionContext.Implicits.global\n",
    "import org.nd4j.linalg.api.ndarray.INDArray\n",
    "import org.nd4j.linalg.ops.transforms.Transforms\n",
    "import com.thoughtworks.deeplearning.plugins.INDArrayWeights"
    "import com.thoughtworks.deeplearning.plugins.INDArrayWeights\n",
    "import com.thoughtworks.feature.Factory\n",
    "import com.thoughtworks.deeplearning.plugins.Builtins"
    ]
    },
    {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
    "interp.load(scala.io.Source.fromURL(new java.net.URL(\"https://gist.githubusercontent.com/TerrorJack/8154015cc0ac5cfba8e351b642ef12b3/raw/35080210cdd83f3fc0f2bb218f04549a57d2b960/L1Regularization.sc\")).mkString)"
    ]
    },
    {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
    "collapsed": true
    },
    "outputs": [],
    "source": [
    "interp.load(\"\"\"\n",
    " val hyperparameters = Factory[Builtins with L1Regularization].newInstance(l1Regularization = 0.001)\n",
    "\"\"\")"
    ]
    },
    {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
    "### For sbt projects"
    ]
    },
    {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
    "collapsed": true
    },
    "outputs": [],
    "source": [
    "// build.sbt\n",
    "libraryDependencies += \"com.thoughtworks.deeplearning\" %% \"plugins-builtins\" % \"latest.release\"\n",
    "\n",
    "addCompilerPlugin(\"com.thoughtworks.import\" %% \"import\" % \"latest.release\")\n",
    "import $url.{`https://gist.githubusercontent.com/TerrorJack/8154015cc0ac5cfba8e351b642ef12b3/raw/35080210cdd83f3fc0f2bb218f04549a57d2b960/L1Regularization.sc` => L1Regularization}\n",
    "\n",
    "import scala.concurrent.ExecutionContext.Implicits.global\n",
    "import org.nd4j.linalg.api.ndarray.INDArray\n",
    "import org.nd4j.linalg.ops.transforms.Transforms\n",
    "import com.thoughtworks.deeplearning.plugins.INDArrayWeights\n",
    "import com.thoughtworks.feature.Factory\n",
    "import com.thoughtworks.deeplearning.plugins.Builtins\n",
    "\n",
    "val hyperparameters = Factory[Builtins with L1Regularization].newInstance(l1Regularization = 0.001)"
    ]
    }
    ],
  9. @TerrorJack TerrorJack revised this gist Jul 24, 2017. 2 changed files with 2 additions and 2 deletions.
    2 changes: 1 addition & 1 deletion L1Regularization.sc
    Original file line number Diff line number Diff line change
    @@ -1,5 +1,5 @@
    trait L1Regularization extends INDArrayWeights {
    def l1Regularization: INDArray
    val l1Regularization: Double

    trait INDArrayOptimizerApi extends super.INDArrayOptimizerApi {
    this: INDArrayOptimizer =>
    2 changes: 1 addition & 1 deletion README.ipynb
    Original file line number Diff line number Diff line change
    @@ -22,7 +22,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
    "import $ivy.`com.thoughtworks.deeplearning::plugins-builtins:2.0.0-RC5`\n",
    "import $ivy.`com.thoughtworks.deeplearning::plugins-builtins:2.0.0-RC6`\n",
    "\n",
    "import org.nd4j.linalg.api.ndarray.INDArray\n",
    "import org.nd4j.linalg.ops.transforms.Transforms\n",
  10. @TerrorJack TerrorJack revised this gist Jul 20, 2017. 1 changed file with 9 additions and 63 deletions.
    72 changes: 9 additions & 63 deletions README.ipynb
    Original file line number Diff line number Diff line change
    @@ -6,82 +6,28 @@
    "source": [
    "## L1Regularization\n",
    "\n",
    "L1Regularization applies L1 regularization during back propagation. Note that it only modifies `delta`, so the loss value user obtained is the \"raw\" loss value without L1 regularization applied.\n",
    "\n",
    "## D"
    "L1Regularization applies L1 regularization during back propagation. Note that it only modifies `delta`, so the loss value user obtained is the \"raw\" loss value without L1 regularization applied."
    ]
    },
    {
    "cell_type": "code",
    "execution_count": 3,
    "cell_type": "markdown",
    "metadata": {},
    "outputs": [
    {
    "data": {
    "text/plain": [
    "\u001b[32mimport \u001b[39m\u001b[36m$ivy.$ \n",
    "\n",
    "\u001b[39m\n",
    "\u001b[32mimport \u001b[39m\u001b[36morg.nd4j.linalg.api.ndarray.INDArray\n",
    "\u001b[39m\n",
    "\u001b[32mimport \u001b[39m\u001b[36morg.nd4j.linalg.ops.transforms.Transforms\n",
    "\u001b[39m\n",
    "\u001b[32mimport \u001b[39m\u001b[36mcom.thoughtworks.deeplearning.plugins.INDArrayWeights\u001b[39m"
    ]
    },
    "execution_count": 3,
    "metadata": {},
    "output_type": "execute_result"
    }
    ],
    "source": [
    "import $ivy.`com.thoughtworks.deeplearning::plugins-builtins:2.0.0-RC5`\n",
    "\n",
    "import org.nd4j.linalg.api.ndarray.INDArray\n",
    "import org.nd4j.linalg.ops.transforms.Transforms\n",
    "import com.thoughtworks.deeplearning.plugins.INDArrayWeights"
    "### Dependencies"
    ]
    },
    {
    "cell_type": "code",
    "execution_count": 4,
    "execution_count": null,
    "metadata": {},
    "outputs": [
    {
    "data": {
    "text/plain": [
    "defined \u001b[32mtrait\u001b[39m \u001b[36mL1Regularization\u001b[39m"
    ]
    },
    "execution_count": 4,
    "metadata": {},
    "output_type": "execute_result"
    }
    ],
    "outputs": [],
    "source": [
    "trait L1Regularization extends INDArrayWeights {\n",
    " def l1Regularization: INDArray\n",
    "\n",
    " trait INDArrayOptimizerApi extends super.INDArrayOptimizerApi {\n",
    " this: INDArrayOptimizer =>\n",
    " abstract override def delta: INDArray = {\n",
    " import org.nd4s.Implicits._\n",
    " super.delta + Transforms.sign(weight.data) * l1Regularization\n",
    " }\n",
    " }\n",
    "import $ivy.`com.thoughtworks.deeplearning::plugins-builtins:2.0.0-RC5`\n",
    "\n",
    " override type INDArrayOptimizer <: INDArrayOptimizerApi with Optimizer\n",
    "}"
    "import org.nd4j.linalg.api.ndarray.INDArray\n",
    "import org.nd4j.linalg.ops.transforms.Transforms\n",
    "import com.thoughtworks.deeplearning.plugins.INDArrayWeights"
    ]
    },
    {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
    "collapsed": true
    },
    "outputs": [],
    "source": []
    }
    ],
    "metadata": {
  11. @TerrorJack TerrorJack revised this gist Jul 20, 2017. 1 changed file with 105 additions and 0 deletions.
    105 changes: 105 additions & 0 deletions README.ipynb
    Original file line number Diff line number Diff line change
    @@ -0,0 +1,105 @@
    {
    "cells": [
    {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
    "## L1Regularization\n",
    "\n",
    "L1Regularization applies L1 regularization during back propagation. Note that it only modifies `delta`, so the loss value user obtained is the \"raw\" loss value without L1 regularization applied.\n",
    "\n",
    "## D"
    ]
    },
    {
    "cell_type": "code",
    "execution_count": 3,
    "metadata": {},
    "outputs": [
    {
    "data": {
    "text/plain": [
    "\u001b[32mimport \u001b[39m\u001b[36m$ivy.$ \n",
    "\n",
    "\u001b[39m\n",
    "\u001b[32mimport \u001b[39m\u001b[36morg.nd4j.linalg.api.ndarray.INDArray\n",
    "\u001b[39m\n",
    "\u001b[32mimport \u001b[39m\u001b[36morg.nd4j.linalg.ops.transforms.Transforms\n",
    "\u001b[39m\n",
    "\u001b[32mimport \u001b[39m\u001b[36mcom.thoughtworks.deeplearning.plugins.INDArrayWeights\u001b[39m"
    ]
    },
    "execution_count": 3,
    "metadata": {},
    "output_type": "execute_result"
    }
    ],
    "source": [
    "import $ivy.`com.thoughtworks.deeplearning::plugins-builtins:2.0.0-RC5`\n",
    "\n",
    "import org.nd4j.linalg.api.ndarray.INDArray\n",
    "import org.nd4j.linalg.ops.transforms.Transforms\n",
    "import com.thoughtworks.deeplearning.plugins.INDArrayWeights"
    ]
    },
    {
    "cell_type": "code",
    "execution_count": 4,
    "metadata": {},
    "outputs": [
    {
    "data": {
    "text/plain": [
    "defined \u001b[32mtrait\u001b[39m \u001b[36mL1Regularization\u001b[39m"
    ]
    },
    "execution_count": 4,
    "metadata": {},
    "output_type": "execute_result"
    }
    ],
    "source": [
    "trait L1Regularization extends INDArrayWeights {\n",
    " def l1Regularization: INDArray\n",
    "\n",
    " trait INDArrayOptimizerApi extends super.INDArrayOptimizerApi {\n",
    " this: INDArrayOptimizer =>\n",
    " abstract override def delta: INDArray = {\n",
    " import org.nd4s.Implicits._\n",
    " super.delta + Transforms.sign(weight.data) * l1Regularization\n",
    " }\n",
    " }\n",
    "\n",
    " override type INDArrayOptimizer <: INDArrayOptimizerApi with Optimizer\n",
    "}"
    ]
    },
    {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
    "collapsed": true
    },
    "outputs": [],
    "source": []
    }
    ],
    "metadata": {
    "kernelspec": {
    "display_name": "Scala",
    "language": "scala",
    "name": "scala"
    },
    "language_info": {
    "codemirror_mode": "text/x-scala",
    "file_extension": ".scala",
    "mimetype": "text/x-scala",
    "name": "scala211",
    "nbconvert_exporter": "script",
    "pygments_lexer": "scala",
    "version": "2.11.11"
    }
    },
    "nbformat": 4,
    "nbformat_minor": 2
    }
  12. @TerrorJack TerrorJack revised this gist Jul 20, 2017. 1 changed file with 21 additions and 0 deletions.
    21 changes: 21 additions & 0 deletions LICENSE
    Original file line number Diff line number Diff line change
    @@ -0,0 +1,21 @@
    MIT License

    Copyright (c) 2017 ThoughtWorks Inc.

    Permission is hereby granted, free of charge, to any person obtaining a copy
    of this software and associated documentation files (the "Software"), to deal
    in the Software without restriction, including without limitation the rights
    to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
    copies of the Software, and to permit persons to whom the Software is
    furnished to do so, subject to the following conditions:

    The above copyright notice and this permission notice shall be included in all
    copies or substantial portions of the Software.

    THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
    IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
    FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
    AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
    LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
    OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
    SOFTWARE.
  13. @TerrorJack TerrorJack created this gist Jul 20, 2017.
    13 changes: 13 additions & 0 deletions L1Regularization.sc
    Original file line number Diff line number Diff line change
    @@ -0,0 +1,13 @@
    trait L1Regularization extends INDArrayWeights {
    def l1Regularization: INDArray

    trait INDArrayOptimizerApi extends super.INDArrayOptimizerApi {
    this: INDArrayOptimizer =>
    abstract override def delta: INDArray = {
    import org.nd4s.Implicits._
    super.delta + Transforms.sign(weight.data) * l1Regularization
    }
    }

    override type INDArrayOptimizer <: INDArrayOptimizerApi with Optimizer
    }