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# ML4

Introduction

ML4是TechYoung课程辅助工具包.

## Distribution

Run the following commands to register, build and upload the package to PYPI.

python3 setup.py sdist upload

The home page on PYPI is: https://pypi.org/project/wcc/

Install

sudo pip3 install ml4

Usage

methods:

ml4.getWindowData(data, x, y, windowSize=300, steps=300):

  • *data:* dataframe

  • *x:* x-axis column name , 例如 “ctime”

  • *y:* column name, 例如 “hr”

  • *window:* window size (s)

  • *steps:* window steps (s)

Note

Metadata

Release files for ml4 0.0.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for ml4 0.0.2
File Size Uploaded Provenance Actions
ml4-0.0.2.tar.gz 2.2 kB Without provenance Details for ml4-0.0.2.tar.gz

Release files / ml4-0.0.2.tar.gz

Download URL ml4-0.0.2.tar.gz
Size 2.2 kB
Tags Source
SHA-256 checksum
How to use checksums
8243557c028e0c8cf4137ed427f3c3dc081873425f814a006ddada91ddcd0569
BLAKE2b-256 checksum
How to use checksums
b7a536968ecf815f2b00749d7c9983530ce35d8c52ae676594e3341b80f46d4c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via Python-urllib/3.6

Security for ml4 0.0.2

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

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To learn more about protecting yourself from malicious actors, visit our package security documentation.

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