Skip to main content

ml-lab-prep

Four ML lab pipeline notebooks (spam classification, breast cancer ensembles, loan regression, K-Means).

pip install ml-lab-prep
ml-lab

Pick with up/down and space, press enter. The notebooks are saved in the current folder.

Without the picker: ml-lab init spam loan (keys: spam, cancer, loan, kmeans) or ml-lab init --all.

Metadata

Release files for ml-lab-prep 0.3.1

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

Source distribution (sdist)

Source distribution for ml-lab-prep 0.3.1
File Size Uploaded
ml_lab_prep-0.3.1.tar.gz 986.2 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for ml-lab-prep 0.3.1
File Interpreter ABI Platform
ml_lab_prep-0.3.1-py3-none-any.whl Python 3 none any Details

Total release size: 2.0 MB

Release files / ml_lab_prep-0.3.1.tar.gz

Download URL ml_lab_prep-0.3.1.tar.gz
Size 986.2 kB
Tags Source
SHA-256 checksum
How to use checksums
ace4e5d3dcafedcddb560b17093a44a1ad56e05be32b0c88645ba59dfb9d68b6
BLAKE2b-256 checksum
How to use checksums
16b601657126089f987563dd0f948be232abfd4e7236f7b038860f82667b3583
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.7

Release files / ml_lab_prep-0.3.1-py3-none-any.whl

Download URL ml_lab_prep-0.3.1-py3-none-any.whl
Size 987.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
8b3cd500a6fb7198dd8dc1ff20cde3d4aa84fea215976b85e09d242cbda83474
BLAKE2b-256 checksum
How to use checksums
2b04c606ec84ad06978ad5cdf809f1dfffda7d7a72947cc4209ef0c52bedf42c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.7

Release history Release notifications | RSS feed

0.3.3

2 release files

0.3.2

2 release files

This release

0.3.1 This release

2 release files

0.2.0

2 release files

0.1.0

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