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feat: remove sklearn k means
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@ -1,16 +1,10 @@
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import tensorflow as tf
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import numpy as np
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from sklearn.cluster import KMeans
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import os
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os.environ["TF_XLA_FLAGS"] = "--tf_xla_cpu_global_jit"
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os.environ["XLA_FLAGS"] = "--xla_gpu_cuda_data_dir=" + cuda_dir
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def k_means(data, k=2, tol=1e-6):
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kmeans = KMeans(n_clusters=k, tol=tol)
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labels = kmeans.fit_predict(data)
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return labels
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def initiate_model(model_file_path):
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print("AI: Model loaded from: " + model_file_path, flush=True)
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model = tf.keras.models.load_model(model_file_path)
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