https://github.com/drsoliddevil/mlr-gd
Multiple linear regression by gradient descent.
Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (11.2%) to scientific vocabulary
Keywords
Repository
Multiple linear regression by gradient descent.
Basic Info
- Host: GitHub
- Owner: DrSolidDevil
- License: bsd-3-clause
- Language: Python
- Default Branch: main
- Homepage: https://pypi.org/project/mlr-gd/
- Size: 235 KB
Statistics
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 4
Topics
Metadata Files
README.md
Multiple linear regression by gradient descent.
Installation
To install mlr-gd you can use pip:
bash
$ python -m pip install mlr-gd
Alternatively, you can install it by cloning the GitHub repository:
bash
$ git clone https://github.com/DrSolidDevil/mlr-gd.git
$ cd mlr-gd
$ pip install .
To import the package into your script:
python
import melar
Example
```python import numpy as np import melar
y = x1 + 0.5*x2
x = np.array([[1, 3, 5, 8], [1, 2, 3, 6]]) y = np.array([1.5, 4, 6.5, 11])
learning_rate = 0.01 generations = 100
model = melar.LinearRegression(weightsamount=2) model.train(x, y, learningrate, generations, do_print=True) print(f"Weights: {model.weights}, Bias: {model.bias}") ```
Gen: 0, Cost: 95.4852602406095
Gen: 1, Cost: 5.593624864417041
Gen: 2, Cost: 0.3286224504551768
Gen: 3, Cost: 0.020244781001893267
...
Gen: 99, Cost: 0.0007438760098695897
Training Complete
Weights: [0.94643617 0.57630021], Bias: -0.003265101149422934
Owner
- Login: DrSolidDevil
- Kind: user
- Repositories: 1
- Profile: https://github.com/DrSolidDevil
Disabled
GitHub Events
Total
- Create event: 37
- Commit comment event: 1
- Issues event: 7
- Release event: 4
- Watch event: 2
- Delete event: 28
- Issue comment event: 8
- Push event: 132
- Pull request review event: 2
- Pull request event: 47
- Fork event: 1
Last Year
- Create event: 37
- Commit comment event: 1
- Issues event: 7
- Release event: 4
- Watch event: 2
- Delete event: 28
- Issue comment event: 8
- Push event: 132
- Pull request review event: 2
- Pull request event: 47
- Fork event: 1
Committers
Last synced: 10 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| DrSolidDevil | 5****l | 98 |
| DrSolidDevil | 5****l | 75 |
| RedDingleBerry | 1****y | 13 |
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 4
- Total pull requests: 50
- Average time to close issues: about 6 hours
- Average time to close pull requests: 30 minutes
- Total issue authors: 1
- Total pull request authors: 2
- Average comments per issue: 1.0
- Average comments per pull request: 0.02
- Merged pull requests: 42
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 4
- Pull requests: 50
- Average time to close issues: about 6 hours
- Average time to close pull requests: 30 minutes
- Issue authors: 1
- Pull request authors: 2
- Average comments per issue: 1.0
- Average comments per pull request: 0.02
- Merged pull requests: 42
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- DrSolidDevil (4)
Pull Request Authors
- DrSolidDevil (42)
- RedDingleBerry (8)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- pypi 40 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 7
- Total maintainers: 1
pypi.org: mlr-gd
A package for multiple linear regression by gradient descent.
- Homepage: https://github.com/DrSolidDevil/mlr-gd/
- Documentation: https://mlr-gd.readthedocs.io/
- License: BSD 3-Clause
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Latest release: 0.3.0
published about 1 year ago