public void TestAutomaticClose()
{
Parameters p = NetworkTestHarness.GetParameters();
p = p.Union(NetworkTestHarness.GetDayDemoTestEncoderParams());
p.SetParameterByKey(Parameters.KEY.RANDOM, new MersenneTwister(42));
Net.Network.Network n = Net.Network.Network.Create("test network", p)
.Add(Net.Network.Network.CreateRegion("r1")
.Add(Net.Network.Network.CreateLayer <IInference>("4", p)
.Add((MultiEncoder)MultiEncoder.GetBuilder().Name("").Build())));
//.Close(); // Not necessary due to implicit call during start() or compute()
Region r1 = n.Lookup("r1");
r1.Start();
Assert.IsTrue(r1.IsClosed());
try
{
r1.Add(Net.Network.Network.CreateLayer <IInference>("5", p));
Assert.Fail();
}
catch (Exception e)
{
Assert.IsTrue(e.GetType().IsAssignableFrom(typeof(InvalidOperationException)));
Assert.AreEqual("Cannot add Layers when Region has already been closed.", e.Message);
}
}
public void TestEncoderPassesUpToTopLayer()
{
Parameters p = NetworkTestHarness.GetParameters();
p = p.Union(NetworkTestHarness.GetDayDemoTestEncoderParams());
p.SetParameterByKey(Parameters.KEY.RANDOM, new MersenneTwister(42));
p.SetParameterByKey(Parameters.KEY.ANOMALY_KEY_MODE, Anomaly.Mode.PURE);
Net.Network.Network n = Net.Network.Network.Create("test network", p)
.Add(Net.Network.Network.CreateRegion("r1")
.Add(Net.Network.Network.CreateLayer <IInference>("1", p)
.AlterParameter(Parameters.KEY.AUTO_CLASSIFY, true))
.Add(Net.Network.Network.CreateLayer <IInference>("2", p)
.Add(Anomaly.Create(p)))
.Add(Net.Network.Network.CreateLayer <IInference>("3", p)
.Add(new TemporalMemory()))
.Add(Net.Network.Network.CreateLayer <IInference>("4", p)
.Add(new SpatialPooler())
.Add((MultiEncoder)MultiEncoder.GetBuilder().Name("").Build())));
Region r1 = n.Lookup("r1");
r1.Connect("1", "2").Connect("2", "3").Connect("3", "4");
Assert.IsNotNull(r1.Lookup("1").GetEncoder());
}
public void TestAdd()
{
Parameters p = NetworkTestHarness.GetParameters();
p = p.Union(NetworkTestHarness.GetDayDemoTestEncoderParams());
p.SetParameterByKey(Parameters.KEY.RANDOM, new MersenneTwister(42));
Net.Network.Network n = Net.Network.Network.Create("test network", p)
.Add(Net.Network.Network.CreateRegion("r1")
.Add(Net.Network.Network.CreateLayer <IInference>("4", p)
.Add((MultiEncoder)MultiEncoder.GetBuilder().Name("").Build())));
Region r1 = n.Lookup("r1");
ILayer layer4 = r1.Lookup("4");
Assert.IsNotNull(layer4);
Assert.AreEqual("r1:4", layer4.GetName());
try
{
r1.Add(Net.Network.Network.CreateLayer <IInference>("4", p));
Assert.Fail();
}
catch (Exception e)
{
Assert.IsInstanceOfType(e, typeof(InvalidOperationException));
Assert.AreEqual("A Layer with the name: 4 has already been added to this Region.", e.Message);
}
}
/**
* Called internally during construction to build the encoders
* needed to process the configured field types.
*/
private void CreateEncoder()
{
encoder = (MultiEncoder)MultiEncoder.GetBuilder().Name("MultiEncoder").Build();
Map <string, Map <string, object> > encoderSettings;
if (localParameters != null &&
(encoderSettings = (Map <string, Map <string, object> >)localParameters.GetParameterByKey(Parameters.KEY.FIELD_ENCODING_MAP)) != null &&
encoderSettings.Any())
{
InitEncoders(encoderSettings);
MakeIndexEncoderMap();
}
}
public void TestIsLearn()
{
Parameters p = NetworkTestHarness.GetParameters().Copy();
p = p.Union(NetworkTestHarness.GetDayDemoTestEncoderParams());
p.SetParameterByKey(Parameters.KEY.COLUMN_DIMENSIONS, new int[] { 30 });
p.SetParameterByKey(Parameters.KEY.SYN_PERM_INACTIVE_DEC, 0.1);
p.SetParameterByKey(Parameters.KEY.SYN_PERM_ACTIVE_INC, 0.1);
p.SetParameterByKey(Parameters.KEY.SYN_PERM_TRIM_THRESHOLD, 0.05);
p.SetParameterByKey(Parameters.KEY.SYN_PERM_CONNECTED, 0.4);
p.SetParameterByKey(Parameters.KEY.MAX_BOOST, 10.0);
p.SetParameterByKey(Parameters.KEY.DUTY_CYCLE_PERIOD, 7);
p.SetParameterByKey(Parameters.KEY.RANDOM, new MersenneTwister(42));
p.SetParameterByKey(Parameters.KEY.ANOMALY_KEY_MODE, Anomaly.Mode.PURE);
Net.Network.Network n = Net.Network.Network.Create("test network", p)
.Add(Net.Network.Network.CreateRegion("r1")
.Add(Net.Network.Network.CreateLayer <IInference>("1", p)
.AlterParameter(Parameters.KEY.AUTO_CLASSIFY, true))
.Add(Net.Network.Network.CreateLayer <IInference>("2", p)
.Add(Anomaly.Create(p)))
.Add(Net.Network.Network.CreateLayer <IInference>("3", p)
.Add(new TemporalMemory()))
.Add(Net.Network.Network.CreateLayer <IInference>("4", p)
.Add(new SpatialPooler())
.Add((MultiEncoder)MultiEncoder.GetBuilder().Name("").Build()))
.Connect("1", "2")
.Connect("2", "3")
.Connect("3", "4"));
n.Lookup("r1").Close();
n.SetLearn(false);
Assert.IsFalse(n.IsLearn());
Region r1 = n.Lookup("r1");
Assert.IsFalse(n.IsLearn());
ILayer layer = r1.GetTail();
Assert.IsFalse(layer.SetIsLearn());
while (layer.GetNext() != null)
{
layer = layer.GetNext();
Assert.IsFalse(layer.SetIsLearn());
}
}
public void TestInputDimensionsAutomaticallyInferredFromEncoderWidth()
{
Parameters p = NetworkTestHarness.GetParameters();
p = p.Union(NetworkTestHarness.GetDayDemoTestEncoderParams());
p.SetParameterByKey(Parameters.KEY.RANDOM, new MersenneTwister(42));
// Purposefully set this to be wrong
p.SetParameterByKey(Parameters.KEY.INPUT_DIMENSIONS, new int[] { 40, 40 });
Net.Network.Network.Create("test network", p)
.Add(Net.Network.Network.CreateRegion("r1")
.Add(Net.Network.Network.CreateLayer <IInference>("4", p)
.Add((MultiEncoder)MultiEncoder.GetBuilder().Name("").Build()))
.Close());
// Should correct the above ( {40,40} ) to have only one dimension whose width is 8 ( {8} )
Assert.IsTrue(Arrays.AreEqual(new int[] { 8 }, (int[])p.GetParameterByKey(Parameters.KEY.INPUT_DIMENSIONS)));
}
public void TestMultiLayerAssemblyNoSensor()
{
Parameters p = NetworkTestHarness.GetParameters().Copy();
p = p.Union(NetworkTestHarness.GetDayDemoTestEncoderParams());
p.SetParameterByKey(Parameters.KEY.COLUMN_DIMENSIONS, new int[] { 30 });
p.SetParameterByKey(Parameters.KEY.SYN_PERM_INACTIVE_DEC, 0.1);
p.SetParameterByKey(Parameters.KEY.SYN_PERM_ACTIVE_INC, 0.1);
p.SetParameterByKey(Parameters.KEY.SYN_PERM_TRIM_THRESHOLD, 0.05);
p.SetParameterByKey(Parameters.KEY.SYN_PERM_CONNECTED, 0.4);
p.SetParameterByKey(Parameters.KEY.MAX_BOOST, 10.0);
p.SetParameterByKey(Parameters.KEY.DUTY_CYCLE_PERIOD, 7);
p.SetParameterByKey(Parameters.KEY.RANDOM, new MersenneTwister(42));
p.SetParameterByKey(Parameters.KEY.ANOMALY_KEY_MODE, Anomaly.Mode.PURE);
Net.Network.Network n = Net.Network.Network.Create("test network", p)
.Add(Net.Network.Network.CreateRegion("r1")
.Add(Net.Network.Network.CreateLayer <IInference>("1", p)
.AlterParameter(Parameters.KEY.AUTO_CLASSIFY, true))
.Add(Net.Network.Network.CreateLayer <IInference>("2", p)
.Add(Anomaly.Create(p)))
.Add(Net.Network.Network.CreateLayer <IInference>("3", p)
.Add(new TemporalMemory()))
.Add(Net.Network.Network.CreateLayer <IInference>("4", p)
.Add(new SpatialPooler())
.Add((MultiEncoder)MultiEncoder.GetBuilder().Name("").Build()))
.Connect("1", "2")
.Connect("2", "3")
.Connect("3", "4"));
Region r1 = n.Lookup("r1");
r1.Lookup("3").Using(r1.Lookup("4").GetConnections()); // How to share Connections object between Layers
//r1.Observe().Subscribe(new Subscriber<Inference>()
//{
// public void onCompleted() { }
// public void onError(Throwable e) { e.printStackTrace(); }
// public void onNext(Inference i)
// {
// // UNCOMMENT TO VIEW STABILIZATION OF PREDICTED FIELDS
// System.Out.println("Day: " + r1.GetInput() + " - predictive cells: " + i.GetPreviousPredictiveCells() +
// " - " + Arrays.toString(i.GetFeedForwardSparseActives()) + " - " +
// ((int)Math.Rint(((Number)i.GetClassification("dayOfWeek").GetMostProbableValue(1)).doubleValue())));
// }
//});
const int NUM_CYCLES = 400;
const int INPUT_GROUP_COUNT = 7; // Days of Week
Map <String, Object> multiInput = new Map <string, object>();
for (int i = 0; i < NUM_CYCLES; i++)
{
for (double j = 0; j < INPUT_GROUP_COUNT; j++)
{
multiInput.Add("dayOfWeek", j);
r1.Compute(multiInput);
}
r1.Reset();
}
r1.SetLearn(false);
r1.Reset();
// Test that we get proper output after prediction stabilization
//r1.Observe().Subscribe(new Subscriber<Inference>()
//{
// public void onCompleted() { }
// public void onError(Throwable e) { e.printStackTrace(); }
// public void onNext(Inference i)
// {
// int nextDay = ((int)Math.Rint(((Number)i.GetClassification("dayOfWeek").GetMostProbableValue(1)).doubleValue()));
// Assert.AreEqual(6, nextDay);
// }
//});
multiInput.Add("dayOfWeek", 5.0);
r1.Compute(multiInput);
}