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andrey.matveevandintellij-monorepo-bot
073af04a6a
GitOrigin-RevId: 5682350bfd95a6abfc325b511c55d6e27b41476a
12 lines
359 B
Python
12 lines
359 B
Python
import tensorflow as tf
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import numpy as np
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labels_map = [np.argmax(c) for c in counts]
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labels_map = tf.convert_to_tensor(labels_map)
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cluster_label = tf.nn.embedding_lookup(labels_map, cluster_idx)
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correct_prediction = tf.equal(cluster_label, tf.cast(tf.argmax(Y, 1), tf.int32))
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accuracy_op = tf.reduce_mean(tf.cast(correct_prediction, tf.float32))
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