kdetools
Some useful tools for working with Kernel Density Estimates (KDEs) built on top of the scipy Gaussian KDE code. Currently includes a subclass of scipy.stats.gaussian_kde with an additional method (conditional_resample) for conditional random sampling from a multivariate KDE and cross-validation based bandwidth estimators, and a new class (kdecdf) for vectorised 1D KDE fitting for multiple variables and conversion to smoothed empirical CDFs.
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Release files for kdetools 0.2.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| kdetools-0.2.3.tar.gz | 1.4 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| kdetools-0.2.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.4 MB
Release files / kdetools-0.2.3.tar.gz
| Download URL | kdetools-0.2.3.tar.gz |
|---|---|
| Size | 1.4 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.1.0 CPython/3.12.11
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Release files / kdetools-0.2.3-py3-none-any.whl
| Download URL | kdetools-0.2.3-py3-none-any.whl |
|---|---|
| Size | 10.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.11
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