life-efficient / life-efficient/ML-Playground
Multivariate regression model
Open
Nobody has claimed this yet.
Preprocessing
- Dominant language
- Python
- Stars
- 0
- Forks
- 0
- PR merge metrics
- No merged PRs in 30d
Description
A function that takes as an input a set of the features X and the label Y.
Then it applies the mathematical function to define Y through the equation with X.
Then it compares the received prediction with the true label.
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
No file, entry point, test, or specific equation is identified. Start by locating the Python model entry point and clarifying the expected inputs X and Y, the mathematical definition of the prediction, and how it should be compared with the true label. Done should include an agreed function and tests for its predictions.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100