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object --+
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base.semantics.distance.DistanceMetric --+
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base.semantics.distance.FScoreMetric --+
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DependencyRecovery
Exact dependency recovery metric. Only matches two nodes to each other if they have the same time attached to them. This is for use with results where we know the input is the same as that over which the gold standard is defined.
For example, evaluating chord sequence parsing against the corpus we know this. It won't work, however, evaluating midi parsing against the chord corpus.
It is also not pitch-independent, since it's only useful where the input over which the result was produced is the same anyway.
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name =
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identifier A human-readable identifier for the metric represented by this instance. |
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A human-readable identifier for the metric represented by this instance.
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Subclasses must provide this. It should return a tuple. The first three values must be floats: score given to the matching between the two inputs; max score that could be given to the first; max score for the second. There may be more values in the tuple.
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identifierA human-readable identifier for the metric represented by this instance.
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