maoruibin / maoruibin/maoruibin.github.com
线性回归
Open
Nobody has claimed this yet.
机器学习
笔记
- Dominant language
- HTML
- Stars
- 22
- Forks
- 4
- PR merge metrics
- No merged PRs in 30d
Description
模型方程式
y' = b + w_1 x_1
- y 标签值
- b 偏差 y 轴截距
- w1 权重
- x1 特征
对于复杂的线性回归模型，可能有多个模型，所以方程式可以这样
y' = b + w_1 x_1 + w_2 x_2 + w_3 x_3 + w_4 x_4
这样表示多个不同的特征最终在对应的权重影响下，对了了一个具体的标签值。
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
The issue body is the only entry point and contains a Chinese explanation of linear regression with single- and multi-feature equations. First determine what documentation change is intended, then identify the corresponding blog source file; done should mean the requested explanation is explicitly defined and published there.
Written by the indexing model from the issue text.
Assessment
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100