pedroduartecosta

val holdout = model.transform(test).select("prediction", "DelayOutputVar")

val rm = new RegressionMetrics(holdout.rdd.map(x =>
  (x(0).asInstanceOf[Double], x(1).asInstanceOf[Double])))

println("sqrt(MSE): " + Math.sqrt(rm.meanSquaredError))
println("mean absolute error: " + 	rm.meanAbsoluteError)
println("R Squared: " + rm.r2)                         
println("Explained Variance: " + rm.explainedVariance + "\n")

pedroduartecosta

val categoricalVariables = if(useCategorical){
                            Array("Origin", "Dest")
                          }else{
                            null
                          }

val categoricalIndexers = if(useCategorical){
                            categoricalVariables.map(i => new StringIndexer().setInputCol(i).setOutputCol(i+"Index").setHandleInvalid("skip"))
                          }else{
                            null

pedroduartecosta

val lr = new LinearRegression()
  .setLabelCol("DelayOutputVar")
  .setFeaturesCol("features")
val paramGrid = new ParamGridBuilder()
  .addGrid(lr.regParam, Array(0.1, 0.01))
  .addGrid(lr.fitIntercept)
  .addGrid(lr.elasticNetParam, Array(0.0, 1.0))
  .build()

val steps:Array[org.apache.spark.ml.PipelineStage] = if(useCategorical){

pedroduartecosta

val conf = new SparkConf().setAppName("predictor")
val sc = new SparkContext(conf)
val sqlContext = new SQLContext(sc)

val rawData = sqlContext.read.format("com.databricks.spark.csv")
            .option("header", "true")
            .option("inferSchema", "true")
            .load(dataPath)
            .withColumn("DelayOutputVar", col("ArrDelay").cast("double"))
            .withColumn("DepDelayDouble", col("DepDelay").cast("double"))

pedroduartecosta

Workshop instructions

• Go to dynamo db

  • Create dynamoDB table
    • Table Name: posts
    • Primary key: id
    • Click create

• Go to S3

• Create s3 bucket

pedroduartecosta

# Sprint1

#### Start-date: 30/03/18
#### End-date: 06/04/18

# Development Team
- Duarte Brandão
- Pedro Costa
- ...

pedroduartecosta

• Implement CI/CD pipelines
  • Gitlab CI
    • Use Runners
  • Github
    • Use TravisCI or others
  • Necessary stages
    • Build Code
    • Run Tests
      • Code quality
• Unit testing

pedroduartecosta

How to set up a NodeJS website with Authentication and Back office (and Blog)

In this tutorial we're going to build a NodeJS website with the following features:

• User authentication
• Back office
• Blog (optional)

The first to parts of the tutorial are meant to quickly set you up and running. The third part is a more in depth explanation of some points I find important, so feel free to read them later as you need.

pedroduartecosta

2.
  1  2  3  4  5
  TA,TB,TC,TD,TE
  
  a. 
    1 tarefa -> 5min
    
    i) 10 01 11 10 11
    ii) 11 11 11 10 11
    iii) 01 01 01 10 10

pedroduartecosta

Checklist

• Implement user management.

• Implement support for mobile devices.

• Implement an information search system using the full-text search features of PostgreSQL.

• Implementing online assistance (e.g. help online) in the product.