bongsang
A collection of statistics and machine learning libraries developed by Bongsang Kim, including a linear regression class similar to R's lm function.
Installation
pip install bongsang
## Accessing Sample Datasets
The `bongsang.datasets` subpackage provides sample datasets for easy experimentation.
### Example:
```python
from bongsang.datasets import load_house
# Load the house dataset
df = load_house()
# Now you can use df with the LM class
from bongsang import lm
X = df[['size']]
y = df['price']
model = lm.LM(X, y)
model.fit()
model.summary()
model.plot()
==============================================================
Linear Regression Summary
X features: ['size']
y target: price
______________________________________________________________
Residuals:
Min 1Q Median 3Q Max
-49.388 -27.388 -6.388 29.577 64.333
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 98.24833 58.03348 1.693 0.1289
size 0.10977 0.03297 3.329 0.0104 *
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 41.33 on 8 degrees of freedom
Multiple R-squared: 0.5808, Adjusted R-squared: 0.5284
F-statistic: 11.08 on 1 and 8 DF, p-value: 0.01039
==============================================================
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