ml-lab-ext
Print ML Lab program code directly in your terminal.
Install
pip install ml-lab-ext
Or from the downloaded .whl / source:
pip install ml_lab_ext-1.0.0-py3-none-any.whl
# or
pip install .
Usage
ml-ext 1 # Print Program 1
ml-ext 5 # Print Program 5
ml-ext 10 # Print Program 10
Programs available: 1 – 10
| # | Topic |
|---|---|
| 1 | EDA — California Housing (distributions & outliers) |
| 2 | Correlation matrix & pair plots |
| 3 | PCA on Iris dataset |
| 4 | Find-S algorithm |
| 5 | K-Nearest Neighbours (from scratch) |
| 6 | Locally Weighted Regression |
| 7 | Linear & Polynomial Regression |
| 8 | Decision Tree — Wisconsin Cancer |
| 9 | Naïve Bayes — Olivetti Faces |
| 10 | K-Means Clustering |
Release files for ml-lab-ext 1.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ml_lab_ext-1.0.1.tar.gz | 5.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ml_lab_ext-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 12.3 kB
Release files / ml_lab_ext-1.0.1.tar.gz
| Download URL | ml_lab_ext-1.0.1.tar.gz |
|---|---|
| Size | 5.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
2ca5962ab30644a79668818d10dd6dea222f364882ca29503c8fec5e6aafe502
|
|
BLAKE2b-256 checksum How to use checksums |
9020d7086ab170d7a269227a173334701a0aac54fe0e3cb466df9b1970c38815
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.12
|
Release files / ml_lab_ext-1.0.1-py3-none-any.whl
| Download URL | ml_lab_ext-1.0.1-py3-none-any.whl |
|---|---|
| Size | 6.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
b1213d500c155b2d4931a0af017342bfee1b317784c16c97a2ce247175a5736c
|
|
BLAKE2b-256 checksum How to use checksums |
84f26a45b30dea5a921ea091909b509bb0ece2ffe74c7e980d8bbd0d744d465f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.12
|