A set of the most common metrics in used in information retrieval.
Usage
The metrics are designed to work for array-like structures and integers:
>>> from irmetrics.topk import rr
>>> y_true = "apple"
>>> y_pred = ["banana", "apple", "grapes"]
>>> rr(y_true, y_pred)
0.5The same function works also for the matrix-like structures:
>>> import numpy as np
>>> from irmetrics.topk import rr
>>> y_trues = np.repeat(y_true, 128)
>>> y_preds = np.repeat([y_pred], 128, axis=0)
>>> # Calculate the Mean Reciprocal Rank
>>> rr(y_trues, y_preds).mean()
0.5
>>> # Calculate the standard deviation for Reciprocal Ranks
>>> rr(y_trues, y_preds).std()
0.0Check the docs for more examples.
Installation
To install with pip, run:
pip install ir-metrics1 maintainer
Release files for ir-metrics 0.1.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| ir-metrics-0.1.6.tar.gz | 16.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ir_metrics-0.1.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 26.0 kB
Release files / ir-metrics-0.1.6.tar.gz
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Release files / ir_metrics-0.1.6-py3-none-any.whl
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