python make_classification 代码解析python make_classification代码解析 Python中的make_classification函数是一个用于生成分类数据的工具。该函数可以帮助用户生成具有特定特征和标签分布的分类数据集。本文将对make_classification函数进行详细解析,包括其参数和返回值的含义和用法,以帮助读者更好地理解和应用该函数。同时,...
class_sep:指定了类别之间的分离度。较大的值意味着类别之间的距离较大,较小的值意味着类别之间有一些...
我感觉不好理解的是n_clusters_per_class=1, # 簇的个数，这个参数的意思谁能解答一下吗 ...
近年来，机器学习和数据科学领域取得了巨大的发展，成为解决现实世界问题的有力工具。Python作为一种高级...
The matlab version of 'make_classification' in the Python package 'scikit-learn' for generating synthetic dataset for classification. https://github.com/emberbillow/make_classification Segui 0.0 (0) 14 download Aggiornato27 mar 2022 Visualizza la licenza su GitHub ...
random_state: 如果是int,random_state是随机数发生器使用的种子; 如果RandomState实例,random_state是随机数生成器; 如果没有,则随机数生成器是np.random使用的RandomState实例。 返回值: X:形状数组[n_samples,n_features] 生成的样本。 y:形状数组[n_samples] ...
python snape/make_dataset.py -c example/config_classification.json Will use the configuration file example/config_classification.json to create an artificial dataset called 'my_dataset' (which is specified in the json config, more on this later...). ...
/tmp/ipykernel_33/4277289726.py in forward(self, x) 13 x2 = self.modelB(x) 14 x = torch.cat((x1, x2), dim=1) ---> 15 x = self.classifier(F.relu(x)) 16 return x /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py in _call_im...
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/usr/local/lib/python3.10/dist-packages/transformers/models/vilt/modeling_vilt.py in forward(self, input_ids, attention_mask, token_type_ids, pixel_values, pixel_mask, head_mask, inputs_embeds, image_embeds, labels, output_attentions, output_hidden_states, return_dict) 1353...