Top-k Models
A python data tool that predicts that top k classes of a dataset, calculates the Top-k accuracy for different models and selects the best classifier.
A solar radiation project that uses this tool to predict the level of solar radiation based on variables such as temperature, pressure, etc. can be found on https://github.com/priscilla-chk/top_k_models/tree/master/example_projects
Documentation
Documentation can be found on https://github.com/priscilla-chk/top_k_models/
Installation
top_k_models can be installed directly from pip/pip3:
- pip install top_k_models
Dependencies
- numpy, pandas, sklearn
Metadata
Release files for top-k-models 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| top_k_models-0.0.2.tar.gz | 4.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| top_k_models-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 21.7 kB
Release files / top_k_models-0.0.2.tar.gz
| Download URL | top_k_models-0.0.2.tar.gz |
|---|---|
| Size | 4.2 kB |
| Tags | Source |
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Release files / top_k_models-0.0.2-py3-none-any.whl
| Download URL | top_k_models-0.0.2-py3-none-any.whl |
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| Size | 17.5 kB |
| Tags | Python 3 |
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twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.39.0 CPython/3.7.5
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