Pre-built Machine Learning Models
Project description
K-Nearest Neighbours
predict: Returns the predicted value
visualize: Returns a matplotlib scatter plot of the data along with the predicted point and its value. (Requires the calling of predict() method first)
euclidean: Returns the Euclidean distance of the given point from all the points given in the dataset
Linear Regression
fit: Trains the model to the given data and return the slope and intercept values
predict: Returns the predicted value
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
premodel-1.1.tar.gz
(3.4 kB
view details)
Built Distribution
File details
Details for the file premodel-1.1.tar.gz.
File metadata
- Download URL: premodel-1.1.tar.gz
- Upload date:
- Size: 3.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 7e13ad52d9b26b2747a1c98159356bddb40d9e547c3aff89ead8bb969fbf8ca3 |
|
| MD5 | f940c50ed2a9391e7b08a4416ed9b33d |
|
| BLAKE2b-256 | ade913d8b1b2e5e068b04e93238ed6576b933915c73e5de5c592d621600c3a6b |
File details
Details for the file premodel-1.1-py3-none-any.whl.
File metadata
- Download URL: premodel-1.1-py3-none-any.whl
- Upload date:
- Size: 3.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | f9417f28bbbcd3951ed8c806bc489120e830ccb89fd4a417901bbd25e57d889d |
|
| MD5 | d67a175fe1d6c591fff215afb77ee365 |
|
| BLAKE2b-256 | 08a829ae4d6a16450fa4c1155514ac1cb05762297cab7af0d592367fec5f0fec |
