34 lines
825 B
Python
34 lines
825 B
Python
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# import numexpr as ne
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import numpy as np
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with open("dataset/small_data.csv", "r") as f:
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desc = f.readline().strip()
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rows, dimensions = map(int, desc.split(" "))
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data = np.loadtxt(f)
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print("loaded data")
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with open("dataset/small_label.csv", "r") as f:
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desc = f.readline().strip()
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rows = int(desc)
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labels = np.loadtxt(f)
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print("loaded labels")
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print(data.shape)
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print(labels.shape)
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w = np.empty((dimensions, 1))
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new_w = np.empty(w.shape)
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for _ in range(10):
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for i in range(dimensions):
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data_ni = np.delete(data, i, axis=1)
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w_ni = np.delete(w, i)
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res = data_ni @ w_ni
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x_i = data[:,i]
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numer = x_i.transpose() @ (labels - np.matmul(data_ni, w_ni))
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denom = x_i.transpose() @ x_i
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new_w[i] = numer / denom
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w = new_w
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print("w", new_w)
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