21 lines
540 B
Python
21 lines
540 B
Python
from .Qnn import Qnn
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class QSVM(Qnn):
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def __init__(self, data, labels=None, test_size=0.2, random_state=None):
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super(QSVM, self).__init__(data, labels, test_size, random_state)
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self.result.update({
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"pca_2d": None,
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"pca_3d": None
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})
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def forward(self, x):
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# Implement SVM forward pass
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pass
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def train_model(self, epochs):
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# Implement SVM training logic
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pass
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def hinge_loss(self, output, target):
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# Implement hinge loss
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pass |