pytools is an open source library containing general machine learning and visualisation utilities for reuse, including:
Basic tools for API development, supporting documentation, deprecation, and run-time validation
Support for simulating classification and regression data
Utilities for constructing complex expressions and rendering them as indented strings
Support for fitting objects to data, and testing whether an object is fitted
Parallelization based on the joblib package
A lean MVC framework for rendering basic visualizations in different styles, e.g., as matplotlib charts or as plain text
License
pytools is licensed under Apache 2.0 as described in the LICENSE file.
Release files for gamma-pytools 3.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| gamma_pytools-3.0.2.tar.gz | 206.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| gamma_pytools-3.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 345.3 kB
Release files / gamma_pytools-3.0.2.tar.gz
| Download URL | gamma_pytools-3.0.2.tar.gz |
|---|---|
| Size | 206.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
python-requests/2.32.3
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Release files / gamma_pytools-3.0.2-py3-none-any.whl
| Download URL | gamma_pytools-3.0.2-py3-none-any.whl |
|---|---|
| Size | 138.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
python-requests/2.32.3
|
