Atry

object RDDasMonadPlus {
  import org.apache.spark.{ SparkContext }
  import org.apache.spark.rdd.RDD
  import scalaz._
  import Scalaz._
  import scala.reflect.ClassTag

  // RDDMPlus is the type for which we will define the Monad instance. it can be
  // constructed from an RDD using the RDDClassTag constructor. this
  // implementation is based on insights from

Atry

import akka.http.scaladsl.model.HttpHeader
import akka.http.scaladsl.model.HttpMethods._
import akka.http.scaladsl.model.HttpResponse
import akka.http.scaladsl.model.headers.`Access-Control-Allow-Credentials`
import akka.http.scaladsl.model.headers.`Access-Control-Allow-Methods`
import akka.http.scaladsl.model.headers.`Access-Control-Allow-Origin`
import akka.http.scaladsl.model.headers.Origin
import akka.http.scaladsl.server.Directive0
import akka.http.scaladsl.server.Directives._
import akka.http.scaladsl.server.MethodRejection

Atry

$ sbt doc
Java HotSpot(TM) 64-Bit Server VM warning: ignoring option MaxPermSize=1G; support was removed in 8.0
[info] Loading global plugins from /home/xxx/.sbt/0.13/plugins
[info] Loading project definition from /home/xxx/sbt_api_mappings/project
[info] Set current project to sbt_api_mappings (in build file:/home/xxx/sbt_api_mappings/)
scala.MatchError: scala-compiler-2.12.0-RC1.jar (of class java.lang.String)
	at com.thoughtworks.sbtApiMappings.ApiMappings$$anonfun$projectSettings$3$$anonfun$apply$2.apply(ApiMappings.scala:41)
	at com.thoughtworks.sbtApiMappings.ApiMappings$$anonfun$projectSettings$3$$anonfun$apply$2.apply(ApiMappings.scala:39)
	at scala.collection.TraversableLike$WithFilter$$anonfun$map$2.apply(TraversableLike.scala:722)
	at scala.collection.immutable.List.foreach(List.scala:318)

Atry

trait L2Regularization extends com.thoughtworks.deeplearning.plugins.INDArrayWeights {
  import org.nd4j.linalg.api.ndarray.INDArray
  
  val l2Regularization: Double

  trait INDArrayOptimizerApi extends super.INDArrayOptimizerApi {
    this: INDArrayOptimizer =>
    abstract override def delta: INDArray = {
      import org.nd4s.Implicits._
      super.delta + weight.data * l2Regularization

Atry

trait L1Regularization extends INDArrayWeights {
  val l1Regularization: Double

  trait INDArrayOptimizerApi extends super.INDArrayOptimizerApi {
    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
    }

Atry

trait CNNs
extends com.thoughtworks.deeplearning.plugins.INDArrayLayers
with com.thoughtworks.deeplearning.plugins.ImplicitsSingleton
with com.thoughtworks.deeplearning.plugins.Training
with com.thoughtworks.deeplearning.plugins.Operators {
  import org.nd4j.linalg.api.ndarray.INDArray
  import org.nd4j.linalg.convolution.Convolution
  import org.nd4j.linalg.util.ArrayUtil
  import org.nd4j.linalg.factory.Nd4j
  import org.nd4j.linalg.api.ops.impl.transforms.IsMax