sklvq.discriminants.DiscriminantBaseClass¶
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class
sklvq.discriminants.DiscriminantBaseClass[source]¶ Discriminant base class
Abstract class for implementing discriminant functions. Provides abstract methods with expected call signatures.
Custom discriminative function ‘__init__’ should accept any parameters as key-value pairs.
See also
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abstract
__call__(dist_same: numpy.ndarray, dist_diff: numpy.ndarray) → numpy.ndarray[source]¶ Should implement a discriminant function
- Parameters
- dist_samendarray of shape (n_samples, 1), with n_samples >= 1
Shortest distance of n_samples to a prototype with the same label.
- dist_diffndarray of shape (n_samples, 1), with n_samples >= 1
Shortest distance of n_samples to a prototype with a different label.
- Returns
- ndarraywith shape (n_samples, 1)
Should perform a elementwise evaluation of a discriminant function.
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abstract
gradient(dist_same: numpy.ndarray, dist_diff: numpy.ndarray, same_label: bool) → numpy.ndarray[source]¶ Should implement the discriminant function’s gradient
- Parameters
- dist_samendarray with shape (n_samples, 1), with n_samples >= 1
Shortest distance of n_samples to a prototype with the same label.
- dist_diffndarray with shape (n_samples, 1), with n_samples >= 1
Shortest distance of n_samples to a prototype with a different label.
- same_labelbool
Indicates if the gradient with respect to a prototype with the same label (True) or with respect to a prototype with a different label (False) needs to be computed.
- Returns
- ndarray with shape (n_sampeles, 1)
Should perform a elementwise evaluation of a discriminant function’s gradient.
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abstract
