nlp-guild/non-linear-classification

--- license: mit --- please use the following code to load data: ```python # start data loading !git lfs install !git clone https://huggingface.co/datasets/nlp-guild/non-linear-classification def load_dataset(path='dataset.npy'): """ :return: f_and_xs: numpy array of size [sample_number, channels, sample_length] label_0, label_1, label_2: one-hot encodes of size [sample_number, number_bins] """ r = np.load(path, allow_pickle=True).item() f_and_xs = r['f_and_xs'] label_0 = r['l_0'] label_1 = r['l_1'] label_2 = r['l_2'] return f_and_xs, label_0, label_1, label_2 f_and_xs, label_0, label_1, label_2 = load_dataset('/content/Nonlinear-System-Identification-with-Deep-Learning/dataset.npy') # end data loading ```

原始信息汇总

数据集概述

数据集加载方法

数据集通过以下Python函数加载：

python def load_dataset(path=dataset.npy): """ :return: f_and_xs: numpy array of size [sample_number, channels, sample_length] label_0, label_1, label_2: one-hot encodes of size [sample_number, number_bins] """

r = np.load(path, allow_pickle=True).item()
f_and_xs = r[f_and_xs]
label_0 = r[l_0]
label_1 = r[l_1]
label_2 = r[l_2]
return f_and_xs, label_0, label_1, label_2

f_and_xs, label_0, label_1, label_2 = load_dataset(/content/Nonlinear-System-Identification-with-Deep-Learning/dataset.npy)

数据集内容

• f_and_xs: numpy array，尺寸为 [sample_number, channels, sample_length]。
• label_0, label_1, label_2: one-hot编码，尺寸为 [sample_number, number_bins]。