AIMA.Core.Learning.Framework.DataSetSpecification.isValid C# (CSharp) Method

isValid() public method

public isValid ( List uncheckedAttributes ) : bool
uncheckedAttributes List
return bool
        public bool isValid(List<String> uncheckedAttributes)
        {
            if (attributeSpecifications.Count != uncheckedAttributes.Count)
            {
                throw new ApplicationException("size mismatch specsize = "
                        + attributeSpecifications.Count + " attrbutes size = "
                        + uncheckedAttributes.Count);
            }
            List<AttributeSpecification>.Enumerator attributeSpecIter = attributeSpecifications.GetEnumerator();
            List<String>.Enumerator valueIter = uncheckedAttributes.GetEnumerator();
            while (valueIter.MoveNext() && attributeSpecIter.MoveNext())
            {
                if (!(attributeSpecIter.Current.isValid(valueIter.Current)))
                {
                    return false;
                }
            }
            return true;
        }

Usage Example

Example #1
0
	public static Example exampleFromString(String data,
			DataSetSpecification dataSetSpec, Char separator) {
		Dictionary<String, LearningAttribute> attributes = new Dictionary<String, LearningAttribute>();
        List<String> attributeValues = new List<String>();

        string [] vals = data.Split(new char[] { ' ', '\t', ',' });
        foreach (string v in vals)
        {
            if (!String.IsNullOrWhiteSpace(v))
            {
                attributeValues.Add(v);
            }
        }
		if (dataSetSpec.isValid(attributeValues)) {
			List<String> names = dataSetSpec.getAttributeNames();
			List<String>.Enumerator nameiter = names.GetEnumerator();
            List<String>.Enumerator valueiter = attributeValues.GetEnumerator();
			while (nameiter.MoveNext() && valueiter.MoveNext()) {
                String name = nameiter.Current;
				AttributeSpecification attributeSpec = dataSetSpec
						.getAttributeSpecFor(name);
				LearningAttribute attribute = attributeSpec.createAttribute(valueiter.Current);
				attributes.Add(name, attribute);
			}
			String targetAttributeName = dataSetSpec.getTarget();
			return new Example(attributes, attributes[targetAttributeName]);
		} else {
			throw new ApplicationException("Unable to construct Example from "
					+ data);
		}
	}
All Usage Examples Of AIMA.Core.Learning.Framework.DataSetSpecification::isValid