Related Issues (20)
- 关于这段代码的疑问 HOT 1
- solver 参数 如何选择? HOT 1
- Gain不是越大, 数据越乱分类越不确定吗? 这里划线的部分为什么要取Gain最大值作为划分点? HOT 1
- 调用RandomizedSearchCV时,使用scipy.stats.randint 就可以, 用numpy.random.randint 就报错, 为什么? HOT 1
- 装袋算法的表述不是很清楚啊? 没有后面随机森林的表述那么清楚 HOT 1
- 这里举出的类, 有几个不认识,也没接触过。 能不能帮我把相应的算法名字标注上? HOT 1
- np.atleast_2d(inputs_array)和 inputs_array.reshape(1, -1) 是一样的吗? 什么时候使用atleast_2d更合适? HOT 1
- 这里定义随机种子的方法np.random.RandomState, 和np.random.seed 有什么区别? HOT 1
- np.linalg.eig函数返回 HOT 1
- 学完了前五周课程,毕业证书在哪里可以获得呀
- sklearn中 的kmeans是默认的用来 kmeans++吗? 如果不是的话, 怎么调用sklearn的kmeans++ HOT 1
- 得到的predict是什么? model.cluster_centers_ 返回的又是什么? HOT 1
- rowvar这参数 干嘛用的? 为什么前面调用np.cov的时候没设为False HOT 1
- 这里的正则化, 是什么意思?有什么作用? HOT 1
- 梯度优化器为什么要清零? 就算要清零 不也应该放在 for循环开始前吗? HOT 1
- 梯度累计 到底是什么意思? 能不能那个简单例子具体说明一下? HOT 1
- 这里np.pad为什么这么写? 28x28x1的矩阵padding成32x32x1的矩阵, np.pad的参数怎么对应的? HOT 1
- 这些h是不是就是 w的意思? HOT 1
- 老师,能否给出偏导的求导过程 HOT 1
- 请问为什么会等于矩阵y-aw的转置呢 HOT 1
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