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finds.pyimport numpy as npclass Finds: def __init__(self, samples, labels): positive_indices = np.array([ index for (index, label) in enumerate(labels) if label == 1 ], dtype='int') self.samples .

# -*- coding: utf-8 -*-import pandas as pdimport numpy as npfrom matplotlib import pyplot as pltfrom sklearn.model_selection import train_test_splitdef init(): df = pd.read_csv("../Data/data.csv") # 处理无用列 df = df.drop("id",1) df