isLouisHsu / isLouisHsu/isLouisHsu.github.io
Logistic Regression | LOUIS' BLOG
Open
Nobody has claimed this yet.
150217b1c733893e0c827a9ab4d0d18d
Gitalk
- Dominant language
- HTML
- Stars
- 4
- Forks
- 1
- PR merge metrics
- No merged PRs in 30d
Description
https://louishsu.xyz/2018/10/18/Logistic-Regression/
引言逻辑回归（Logistic Regression）是用于处理因变量为分类变量的回归问题，常见的是二分类或二项分布问题，也可以处理多分类问题，它实际上是属于一种分类方法。 模型先给出模型，推导过程稍后给出，逻辑回归包含Sigmoid函数 f(z) = \frac{1}{1+e^{-z}}其图像如下 定义 z = w^Tx其中$x=[x_0, x_1, …, x_n]^T, x_0=1$ h_w(
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading the linked Logistic Regression blog post and inspecting the repository structure for the corresponding article. The payload names no target file, requested change, or test, so the intended update and definition of done need to be clarified before work begins.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- machine-learning
- Domain
- content, documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100