mirror of
https://github.com/prise6/smart-iss-posts
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43 lines
1.2 KiB
Python
43 lines
1.2 KiB
Python
# -*- coding: utf-8 -*-
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import os
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from iss.tools import Tools
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class AbstractClustering:
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def __init__(self, config, pictures_id, pictures_np):
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self.config = config
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self.save_directory = os.path.join(self.config['save_directory'], '%s_%s_%s' % (self.config['model']['type'], self.config['model']['name'], self.config['version']))
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self.pictures_id = pictures_id
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self.pictures_np = pictures_np
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self.final_labels = None
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self.colors = None
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Tools.create_dir_if_not_exists(self.save_directory)
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def compute_final_labels(self):
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raise NotImplementedError
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def get_results(self):
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return list(zip(self.pictures_id, self.final_labels, self.pictures_np))
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def compute_silhouette_score(self):
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raise NotImplementedError
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def compute_colors(self):
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n_classes = len(list(set(self.final_labels)))
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self.colors = [Tools.get_color_from_label(label, n_classes) for label in self.final_labels]
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return self
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def predict_embedding(self):
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raise NotImplementedError
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def predict_label(self):
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raise NotImplementedError
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def save(self):
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raise NotImplementedError
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def load(self):
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raise NotImplementedError
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