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| Making sense of Probabilistic Programming with Figaro and Pfennig | |
| === | |
| SlamData tech talk 2016-09-08 | |
| Building Interest | |
| --- | |
| - Noticed Probabilistic Graphical Models on Coursera | |
| - https://www.coursera.org/learn/probabilistic-graphical-models | |
| - Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning series) by Daphne Koller (Author), Nir Friedman (Author) |
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| let rec i j = match j with | |
| | [] | [_] -> true | |
| | a :: b :: c -> a = b && i(b::c);; |
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| import scala.concurrent._, ExecutionContext.Implicits.global | |
| import scala.async.Async.{async, await} | |
| object AsyncExploration { | |
| // hmm, monad transformers are cool and all but for this simple case async might be the winner | |
| val α = | |
| async { | |
| for { |
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| S.configAll({ | |
| "defaultToCurrentScreen" : true, | |
| "secondsBetweenRepeat" : 0.05, | |
| "checkDefaultsOnLoad" : true, | |
| "focusCheckWidthMax" : 3000, | |
| "windowHintsBackgroundColor" : [50, 53, 58, 0.73], | |
| "windowHintsDuration" : 7, | |
| "windowHintsWidth" : 65, | |
| "windowHintsHeight" : 65, | |
| "windowHintsFontSize" : 36 |
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| import shapeless._, Poly._ | |
| import scala.concurrent._, duration._, ExecutionContext.Implicits.global | |
| object zoz extends Poly2 { | |
| implicit def default[T, U] = at[T, T ⇒ U] { (acc, t) ⇒ t(acc) } | |
| } | |
| val f1 = (s: Future[String]) ⇒ s.map(1 :: _ :: HNil) | |
| val f2 = (i: Future[Int :: String :: HNil]) ⇒ i.map(7L :: _) | |
| val f3 = (l: Future[Long :: Int :: String :: HNil]) ⇒ l.map('z' :: _) |
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| object TypeClassExample { | |
| trait UnicodeOrdered[T] { | |
| def ≤(i:T,j:T): Boolean | |
| } | |
| object UnicodeOrdered { | |
| implicit object UnicodeOrderedInt extends UnicodeOrdered[Int] { | |
| def ≤(i:Int,j:Int): Boolean = i <= j | |
| } |
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| import scalaz.Lens | |
| object FocusOnScalaz { | |
| // A pair of ordinary case classes ... | |
| case class Address(street : String, city : String, postcode : String) | |
| case class Person(name : String, age : Int, address : Address) | |
| // Some lenses over Person/Address ... | |
| val nameLens = Lens.lensu[Person, String]((u, newName) => u.copy(name = newName), _.name) |
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| object Common { | |
| trait I[A, B] { | |
| def apply(a: A): B | |
| } | |
| def i[A, B](f: A => B): I[A, B] = new I[A,B] { | |
| def apply(a: A) = f(a) | |
| } | |
| case class Z(boz: String) |
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| import util.Random | |
| object RandomGeneratorProjection { | |
| // in : size of the input generator | |
| // out : size of the output generator | |
| def d(in: Int, out: Int): Int = { | |
| assert(in > 1, "in must be greater than 1") | |
| assert(out > 0, "out must be greater than 0") |
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