Implementation of a metric learning method for subspace-valued data.

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Usage

fromsubs_ml.modelsimportAbasedMetricLearningSubspaceasAMLS# Prepair datamodel=AMLS(
subspace_dimension,
n_neighbors=3,
normalize=True,
verbose=0,
max_iter=200,
tol=1e-8,
weight_trnorm=0,
min_iter=5,
)
model.fit(x_train, y_train)
pred=model.predict(x_test)