public void TestGetKeyByFieldName()
{
Parameters.KEY expected = Parameters.KEY.POTENTIAL_PCT;
Assert.AreEqual(expected, Parameters.KEY.GetKeyByFieldName("potentialPct"));
Assert.IsFalse(expected.Equals(Parameters.KEY.GetKeyByFieldName("random")));
}
private Parameters GetDefaultParameters(Parameters p, Parameters.KEY key, Object value)
{
Parameters retVal = p == null?GetDefaultParameters() : p;
retVal.SetParameterByKey(key, value);
return(retVal);
}
/// <summary>
/// Adds the ability to alter a given parameter in place during a fluent
/// creation statement. This {@code Layer}'s {@link Parameters} object is
/// copied and then the specified key/value pair are set on the internal
/// copy. This call does not affect the original Parameters object so that
/// local modifications may be made without having to reset them afterward
/// for subsequent use with another network structure.
/// </summary>
/// <param name="key">The parameter key</param>
/// <param name="value">The value of the parameter</param>
/// <returns>this Layer instance (in fluent-style)</returns>
public ILayer AlterParameter(Parameters.KEY key, object value)
{
if (IsClosed())
{
throw new InvalidOperationException("Layer already \"closed\"");
}
// Preserve any input dimensions that might have been set prior to this
// in
// previous layers
int[] inputDims = (int[])Params.GetParameterByKey(Parameters.KEY.INPUT_DIMENSIONS);
Params = Params.Copy();
Params.SetParameterByKey(key, value);
Params.SetParameterByKey(Parameters.KEY.INPUT_DIMENSIONS, inputDims);
if (key == Parameters.KEY.AUTO_CLASSIFY)
{
AutoCreateClassifiers = value != null && ((bool)value);
// Note the addition of a classifier
AlgoContentMask |= LayerMask.ClaClassifier;
}
return(this);
}
public void TestGetMinMax()
{
Parameters.KEY synPermActInc = Parameters.KEY.SYN_PERM_ACTIVE_INC;
Assert.AreEqual(0.0, synPermActInc.GetMin());
Assert.AreEqual(1.0, synPermActInc.GetMax());
}
