Record Class MDS.Options
java.lang.Object
java.lang.Record
smile.manifold.MDS.Options
- Record Components:
d- the dimension of the projection.positive- if true, estimate an appropriate constant to be added to all the dissimilarities, apart from the self-dissimilarities, that makes the learning matrix positive semi-definite. The other formulation of the additive constant problem is as follows. If the proximity is measured in an interval scale, where there is no natural origin, then there is not a sympathy of the dissimilarities to the distances in the Euclidean space used to represent the objects. In this case, we can estimate a constant c such that proximity + c may be taken as ratio data, and also possibly to minimize the dimensionality of the Euclidean space required for representing the objects.
- Enclosing class:
MDS
MDS hyperparameters.
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Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionintd()Returns the value of thedrecord component.final booleanIndicates whether some other object is "equal to" this one.final inthashCode()Returns a hash code value for this object.static MDS.Optionsof(Properties props) Returns the options from properties.booleanpositive()Returns the value of thepositiverecord component.Returns the persistent set of hyperparameters.final StringtoString()Returns a string representation of this record class.
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Constructor Details
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Options
public Options(int d, boolean positive) Constructor. -
Options
public Options()Constructor.
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Method Details
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toProperties
Returns the persistent set of hyperparameters.- Returns:
- the persistent set.
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of
Returns the options from properties.- Parameters:
props- the hyperparameters.- Returns:
- the options.
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toString
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hashCode
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equals
Indicates whether some other object is "equal to" this one. The objects are equal if the other object is of the same class and if all the record components are equal. All components in this record class are compared with thecomparemethod from their corresponding wrapper classes. -
d
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positive
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