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This class defines the expected rate value based of a risk. We use the next formula: E(R) = [(p(P))] - [(1-p)(L)] The expectative consist of certain probabilities of win or loss and the amount of the factors that you win or loss. If the rate of return if is > 0, We can win depending of the risk. E(R) is calculated in term of each individual game. p = probability of win. 1-p = probability of loss. P = win factor. L = loss factor. Examples: 1.- I am going to flipping a coin, if the coin gets head I win $10, else I loss $10. Will I take the risk? E(R) = (0.5*10) - (1-0.5)(10) = 0 So I wont. because the rate of return is 0, there is no money!! INPUT: [0.5, 1, 1] 2.- If I win I get $2, else I loss $1. I have 60% probability to loss and 40% of win. E(R) = (0.4*2) - (1-0.4)(1) = 0.2 So the average rate of return is $0.20 each game. Maybe I will. INPUT: [0.4, 2, 1] 3.- I win $2 if the thin wrestler win, else $1 if fat wrestler win. If thin wrestler has 30% probability to win. Will I take the risk for this wrestling? E(R) = (0.3*2) - (1-0.3)(1) = 0.6 - 0.7 = -0.1 So I wont. I loss -0.1 each game, so If I play 100 times -> 100-0.1=10. I could loss $10 INPUT: [0.3, 2, 1]

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curl -X POST -d '{{input | formatInput:"curl"}}' -H 'Content-Type: application/json' -H 'Authorization: Simple YOUR_API_KEY' https://api.algorithmia.com/v1/algo/laishidua/ExpectedRiskValue/0.1.4
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algo auth
algo run algo://laishidua/ExpectedRiskValue/0.1.4 -d '{{input | formatInput:"cli"}}'
View CLI Docs
import com.algorithmia.*;
import com.algorithmia.algo.*;

String input = "{{input | formatInput:"java"}}";
AlgorithmiaClient client = Algorithmia.client("YOUR_API_KEY");
Algorithm algo = client.algo("algo://laishidua/ExpectedRiskValue/0.1.4");
AlgoResponse result = algo.pipeJson(input);
View Java Docs
import com.algorithmia._
import com.algorithmia.algo._

val input = {{input | formatInput:"scala"}}
val client = Algorithmia.client("YOUR_API_KEY")
val algo = client.algo("algo://laishidua/ExpectedRiskValue/0.1.4")
val result = algo.pipeJson(input)
View Scala Docs
var input = {{input | formatInput:"javascript"}};
           .then(function(output) {
View Javascript Docs
var input = {{input | formatInput:"javascript"}};
           .then(function(response) {
View NodeJS Docs
import Algorithmia

input = {{input | formatInput:"python"}}
client = Algorithmia.client('YOUR_API_KEY')
algo = client.algo('laishidua/ExpectedRiskValue/0.1.4')
print algo.pipe(input)
View Python Docs

input <- {{input | formatInput:"r"}}
client <- getAlgorithmiaClient("YOUR_API_KEY")
algo <- client$algo("laishidua/ExpectedRiskValue/0.1.4")
result <- algo$pipe(input)$result
View R Docs
require 'algorithmia'

input = {{input | formatInput:"ruby"}}
client = Algorithmia.client('YOUR_API_KEY')
algo = client.algo('laishidua/ExpectedRiskValue/0.1.4')
puts algo.pipe(input).result
View Ruby Docs
use algorithmia::*;

let input = {{input | formatInput:"rust"}};
let client = Algorithmia::client("YOUR_API_KEY");
let algo = client.algo('laishidua/ExpectedRiskValue/0.1.4');
let response = algo.pipe(input);
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