umaat-Ultimate Machine-learning Algorithm Accuracy Test
This is a package that houses the functions which can produce accuracy results for each algorithm listed under the categories of Clustering, Regression & Classification based on passing the arguments - independent and dependent variables/features from a given dataset, based on which the user can choose the best category and algorithm suitable for their dataset and then implement the machine learning model with the same
Development Status:
Under Development (Early release)
Developed by:
Installation:
Use the package manager pip to install umaat
For installation of latest package
pip install umaat
For installation of a particular version of package
pip install umaat == version number of package
To import umaat:
import umaat
To use a particular function in umaat:
from umaat import model_accuracy
ma=model_accuracy()
ma.accuracy_test(X,y)
License:
1 maintainer
Metadata
1 maintainer
Release files for umaat 1.0.5
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| umaat-1.0.5.tar.gz | 18.5 kB | Without provenance | Details |
Release files / umaat-1.0.5.tar.gz
| Download URL | umaat-1.0.5.tar.gz |
|---|---|
| Size | 18.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
49ca35e2dfe9a1af63eeb47b18ad57d68a91a3a41bcb318e24eb03b109368791
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BLAKE2b-256 checksum How to use checksums |
a123fdbf7cdf4cd306f155a26fd94908f490d4e44ef2cda3710ee5c4a1b43d1d
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| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6
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Security for umaat 1.0.5
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