Swarmauri Distance Minkowski
A Python package implementing Minkowski distance metric for vector comparison. This distance metric is a generalization that includes both Euclidean and Manhattan distances.
Installation
pip install swarmauri_distance_minkowski
Usage
from swarmauri.distances.MinkowskiDistance import MinkowskiDistance
from swarmauri.vectors.Vector import Vector
# Create vectors for comparison
vector_a = Vector(value=[1, 2])
vector_b = Vector(value=[1, 2])
# Initialize Minkowski distance calculator (default p=2 for Euclidean distance)
distance_calculator = MinkowskiDistance()
# Calculate distance between vectors
distance = distance_calculator.distance(vector_a, vector_b)
print(f"Distance: {distance}") # Output: Distance: 0.0
# Calculate similarity between vectors
similarity = distance_calculator.similarity(vector_a, vector_b)
print(f"Similarity: {similarity}") # Output: Similarity: 1.0
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1 maintainer
Metadata
1 maintainer
Release files for swarmauri_distance_minkowski 0.7.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| swarmauri_distance_minkowski-0.7.5.tar.gz | 7.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| swarmauri_distance_minkowski-0.7.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 14.9 kB
Release files / swarmauri_distance_minkowski-0.7.5.tar.gz
| Download URL | swarmauri_distance_minkowski-0.7.5.tar.gz |
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| Size | 7.0 kB |
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Release files / swarmauri_distance_minkowski-0.7.5-py3-none-any.whl
| Download URL | swarmauri_distance_minkowski-0.7.5-py3-none-any.whl |
|---|---|
| Size | 8.0 kB |
| Tags | Python 3 |
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