Download
pip install nopapy
⚠!!ATTENTION!!⚠
Check the Project Homepage for the complete README.
Quick Start
import numpy as np import nopapy as npp x = np.array([1, 2, 3, 4, 5]) y = np.array([2, 4, 6, 8, 10]) ypred = npp.NWEstimate(x, y, 3.5) # supposed to be 7 print(ypred) # 6.910633194984344
Other Modules
Kernel: Supports multiple built-in kernel functions and allows customization of kernel functions.
Estimate: Includes various non-parametric estimation methods, allowing customization of kernel functions, smooth bandwidth, and order.
Regression: Provides multiple smoothing methods for batch prediction.
Scikit_like: Supports the generation of regression objects with specific parameters like scikit-learn and PyTorch.
Metadata
Release files for nopapy 1.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| nopapy-1.0.2.tar.gz | 57.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| nopapy-1.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 72.6 kB
Release files / nopapy-1.0.2.tar.gz
| Download URL | nopapy-1.0.2.tar.gz |
|---|---|
| Size | 57.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
bdf26ba0445013fc253606b579d9e8067f735ee4a1f7c79136cb2d06912b1bdc
|
|
BLAKE2b-256 checksum How to use checksums |
5f3b21d39eb83f3bbae7ed7a2236dcaf1319fb5735650a4ce7e4e5e8ef6ef2a5
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.8.3
|
Release files / nopapy-1.0.2-py3-none-any.whl
| Download URL | nopapy-1.0.2-py3-none-any.whl |
|---|---|
| Size | 15.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
acbba1cc6e351894ae403bd709e2e60f307968aa3e4656f5b67a0f486894ee31
|
|
BLAKE2b-256 checksum How to use checksums |
f7bc9a51327724e56e74aed49a526df5e3f04793caf861c6c70397514245b82e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.8.3
|