Exemple #1
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 def gen_data(size, seed):
     data = {
         'a': generate_uniform_float_column(size, 0., 1., seed + 1),
         'b': generate_uniform_float_column(size, 0., 1., seed + 2),
         'c': generate_uniform_float_column(size, 0., 1., seed + 3)
     }
     return DataFrame.from_dict(data)
Exemple #2
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 def gen_data(size, seed):
     data = {
         'a': generate_uniform_float_column(size, 0., 1., seed + 1),
         'b': generate_uniform_float_column(size, 0., 1., seed + 2),
         'c': generate_uniform_float_column(size, 0., 1., seed + 3)
     }
     return DataFrame.from_dict(data)
Exemple #3
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 def gen_data(size, seed):
     data = {
         'a': generate_uniform_float_column(size, 0., 1., seed + 1),
         'b': generate_uniform_float_column(size, 0., 1., seed + 2),
         'c': generate_uniform_string_column(size, ['a', 'b', 'c'], seed + 3),
         'd': generate_uniform_string_column(size, ['e', 'f', 'g'], seed + 4)
     }
     return DataFrame.from_dict(data)
Exemple #4
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def add_noise_to_target(target, seed, threshold=0.05):
    col = generate_uniform_float_column(len(target), 0., 1.,
                                        seed + 1) < threshold
    return target * (1 - col) + (1 - target) * col
Exemple #5
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def add_noise_to_target(target, seed, threshold=0.05):
    col = generate_uniform_float_column(len(target), 0., 1., seed + 1) < threshold
    return target * (1 - col) + (1 - target) * col