mlpy.knowledgerep.cbr.features.IntFeature.retrieval_method¶
-
IntFeature.
retrieval_method
¶ The similarity model used during retrieval.
Valid models are:
- knn
- A k-nearest-neighbor algorithm is used to determine similarity
between cases (
NeighborSimilarity
). The value k must be specified. - radius-n
- Similarity between cases is determined by the nearest neighbors
within a radius (
NeighborSimilarity
). The radius n must be specified. - kmeans
- Similarity is determined by a kmeans clustering algorithm
(
KMeansSimilarity
). - exact-match
- Only exact matches are considered similar (
ExactMatchSimilarity
). - cosine
- A cosine similarity measure is used to determine similarity between
cases (
CosineSimilarity
).
Returns: str :
The retrieval method.