public void E2ERankerStochasticRewards(DecisionServiceDeployment deployment)
{
// Create configuration for the decision service
float initialEpsilon = .5f;
deployment.ConfigureDecisionService(trainArguments: "--cb_explore_adf --cb_type dr -q :: --epsilon 0.2", initialExplorationEpsilon: initialEpsilon);
string settingsBlobUri = deployment.SettingsUrl;
deployment.OnlineTrainerWaitForStartup();
float percentCorrect = UploadFoodContextData(deployment, settingsBlobUri, firstPass: true);
Assert.IsTrue(percentCorrect < initialEpsilon);
percentCorrect = UploadFoodContextData(deployment, settingsBlobUri, firstPass: false);
Assert.IsTrue(percentCorrect > .8f);
}
public async Task SimplePolicyTest(DecisionServiceDeployment deployment)
{
deployment.OnlineTrainerWaitForStartup();
deployment.ConfigureDecisionService("--cb_explore 4 --epsilon 0", initialExplorationEpsilon: 1, isExplorationEnabled: true);
// 4 Actions
// why does this need to be different from default?
var config = new DecisionServiceConfiguration(deployment.SettingsUrl)
{
InteractionUploadConfiguration = new BatchingConfiguration
{
MaxEventCount = 64
},
ObservationUploadConfiguration = new BatchingConfiguration
{
MaxEventCount = 64
},
PollingForModelPeriod = TimeSpan.FromMinutes(5)
};
config.InteractionUploadConfiguration.ErrorHandler += JoinServiceBatchConfiguration_ErrorHandler;
config.InteractionUploadConfiguration.SuccessHandler += JoinServiceBatchConfiguration_SuccessHandler;
this.features = new string[] { "a", "b", "c", "d" };
this.freq = new Dictionary <string, int>();
this.rnd = new Random(123);
deployment.OnlineTrainerReset();
{
var expectedEvents = 0;
using (var client = Microsoft.Research.MultiWorldTesting.ClientLibrary.DecisionService.Create <MyContext>(config))
{
for (int i = 0; i < 50; i++)
{
expectedEvents += SendEvents(client, 128);
// Thread.Sleep(500);
}
}
// TODO: flush doesn't work
// Assert.AreEqual(expectedEvents, this.eventCount);
}
// 4 actions times 4 feature values
Assert.AreEqual(4 * 4, freq.Keys.Count);
Console.WriteLine("Exploration");
var total = freq.Values.Sum();
foreach (var k in freq.Keys.OrderBy(k => k))
{
var f = freq[k] / (float)total;
Assert.IsTrue(f < 0.08);
Console.WriteLine("{0} | {1}", k, f);
}
freq.Clear();
await Task.Delay(TimeSpan.FromMinutes(2));
// TODO: update eps: 0
using (var client = Microsoft.Research.MultiWorldTesting.ClientLibrary.DecisionService.Create <MyContext>(config))
{
int i;
for (i = 0; i < 120; i++)
{
try
{
client.DownloadModelAndUpdate(new System.Threading.CancellationToken()).Wait();
break;
}
catch (Exception)
{
await Task.Delay(TimeSpan.FromSeconds(1));
}
}
Assert.IsTrue(i < 30, "Unable to download model");
for (i = 0; i < 1024; i++)
{
var key = Guid.NewGuid().ToString();
var featureIndex = i % features.Length;
var action = client.ChooseAction(key, new MyContext {
Feature = features[featureIndex]
});
var stat = string.Format("'{0}' '{1}' ", features[featureIndex], action);
int count;
if (freq.TryGetValue(stat, out count))
{
freq[stat]++;
}
else
{
freq.Add(stat, count);
}
}
}
Console.WriteLine("Exploitation");
total = freq.Values.Sum();
foreach (var k in freq.Keys.OrderBy(k => k))
{
var f = freq[k] / (float)total;
Assert.AreEqual(0.25f, f, 0.1);
Console.WriteLine("{0} | {1}", k, f);
}
}
