geoHeil

import org.apache.log4j.{Level, Logger}
import org.apache.spark.SparkConf
import org.apache.spark.sql.functions._
import org.apache.spark.sql.{Dataset, SparkSession}

case class FooBar(city: String, postcode: String)

object Foo extends App {

  Logger.getLogger("org").setLevel(Level.WARN)

geoHeil

// Copyright (C) 2016 Georg Heiler
// master thesis to detect fraud of never paying customers

package org.apache.spark.ml.feature

import org.apache.log4j.{Level, Logger}
import org.apache.spark.SparkConf
import org.apache.spark.ml.param.{Param, ParamMap, Params}
import org.apache.spark.ml.util._
import org.apache.spark.ml.{Estimator, Model, Transformer}

geoHeil

// Copyright (C) 2016 Georg Heiler
// master thesis to detect fraud of never paying customers

package org.apache.spark.ml.feature

import org.apache.log4j.{ Level, Logger }
import org.apache.spark.SparkConf
import org.apache.spark.ml.param.{ Param, ParamMap, Params }
import org.apache.spark.ml.util._
import org.apache.spark.ml.{ Estimator, Model, Transformer }

geoHeil

// Copyright (C) 2016 Georg Heiler
// master thesis to detect fraud of never paying customers

package org.apache.spark.ml.feature

import org.apache.log4j.{ Level, Logger }
import org.apache.spark.SparkConf
import org.apache.spark.ml.param.{ Param, ParamMap, Params }
import org.apache.spark.ml.util._
import org.apache.spark.ml.{ Estimator, Model, Transformer }

geoHeil

package org.apache.spark.ml.feature

import org.apache.log4j.{ Level, Logger }
import org.apache.spark.SparkConf
import org.apache.spark.ml.param.{ Param, ParamMap, Params }
import org.apache.spark.ml.util._
import org.apache.spark.ml.{ Estimator, Model, Transformer }
import org.apache.spark.sql.functions._
import org.apache.spark.sql.types._
import org.apache.spark.sql.{ DataFrame, Dataset, SparkSession }

geoHeil

import ml.dmlc.xgboost4j.scala.spark.{ TrackerConf, XGBoostEstimator }
import org.apache.log4j.{ Level, Logger }
import org.apache.spark.SparkConf
import org.apache.spark.ml.Pipeline
import org.apache.spark.ml.evaluation.BinaryClassificationEvaluator
import org.apache.spark.ml.feature.VectorAssembler
import org.apache.spark.ml.tuning.{ CrossValidator, ParamGridBuilder }
import org.apache.spark.sql.SparkSession

import scala.concurrent.duration._

geoHeil

case class MeasureUnit(name: String, value: Double)

val measureSeq = Seq(MeasureUnit("metric1", 0.04), MeasureUnit("metric1", 0.09),
  MeasureUnit("metric2", 0.64), MeasureUnit("metric2", 0.34), MeasureUnit("metric2", 0.84))

type Name = String

// "metric1" -> Seq(0.04, 0.09), "metric2" -> Seq(0.64, 0.34, 0.84)
val groupedMeasures: Map[Name, Seq[Double]] =
  measureSeq

geoHeil

FORMAT: 1A
HOST: http://polls.apiblueprint.org/

# test

Polls is a simple API allowing consumers to view polls and vote in them.

## Questions Collection [/questions]

### List All Questions [GET]

geoHeil

library(igraph)
id = c("a", "b", "c", "d", "e", "f", "g") 
name = c("Alice", "Bob", "Charlie", "David", "Esther", "Fanny", "Gaby") 
directConnectionToTrump = c(TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE) 
verticeData <- data.frame(id, name, directConnectionToTrump) 
verticeData

src <- c("a", "b", "c", "f", "e", "e", "d", "a")
dst <- c("b", "c", "b", "c", "f", "d", "a", "e")
relationship <-c("A", "B", "B", "B", "B", "A", "A", "A")

geoHeil

/etc/nginx # ls
conf.d                  fastcgi.conf.default    fastcgi_params.default  koi-win                 mime.types.default      nginx.conf              scgi_params             uwsgi_params            win-utf
fastcgi.conf            fastcgi_params          koi-utf                 mime.types              modules                 nginx.conf.default      scgi_params.default     uwsgi_params.default
/etc/nginx # ls /etc/nginx/conf.d/
default.conf        sites-enabled.conf
/etc/nginx # cat conf.d/sites-enabled.conf
server {

    listen 8080;
    server_name application;