K-Nearest Neighbours
predict: Returns the predicted value
visualize: Returns a matplotlib scatter plot of the data along with the predicted point and its value. (Requires the calling of predict() method first)
euclidean: Returns the Euclidean distance of the given point from all the points given in the dataset
Linear Regression
fit: Trains the model to the given data and return the slope and intercept values
predict: Returns the predicted value
1 maintainer
Metadata
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Release files for premodel 1.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| premodel-1.1.tar.gz | 3.4 kB | Without provenance | Details for premodel-1.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| premodel-1.1-py3-none-any.whl | Python 3 | none | any | Details for premodel-1.1-py3-none-any.whl |
Total release size: 7.1 kB
Release files / premodel-1.1.tar.gz
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| Size | 3.4 kB |
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Release files / premodel-1.1-py3-none-any.whl
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| Size | 3.8 kB |
| Tags | Python 3 |
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