Skip to main content

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)

Source distribution for nopapy 1.0.2
File Size Uploaded
nopapy-1.0.2.tar.gz 57.0 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for nopapy 1.0.2
File Interpreter ABI Platform
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

Release history Release notifications | RSS feed

This release

1.0.2 This release

2 release files

1.0.1

2 release files

1.0.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page