An ML enhancement package to improve outcomes
Project description
enhanceml
enhanceml (Enhance Machine Learning model) is a Python library to enhance the prediction of model using various statistical technique. This contains various sub-models which can be fitted over data to predict outcome.
- PBOB (Probability based Best Out of Best outcome): This method is used to enhance the prediction based on probability.
Installation
Use the package manager pip to install enhanceml.
pip install enhanceml
or
https://github.com/sumitc29/enhanceml.git
Usage
from enhanceml import enhancer
knn=KNeighborsClassifier()
gnb=GaussianNB()
pbob_model=enhancer.PBOB(knn,gnb)
pbob_model.fit(x_train,y_train)
predictions=pbob_model.predict(x_test)
Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
License
Project details
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
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file enhanceml-0.0.1.tar.gz.
File metadata
- Download URL: enhanceml-0.0.1.tar.gz
- Upload date:
- Size: 3.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.1.0 requests-toolbelt/0.9.1 tqdm/4.33.0 CPython/3.4.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c35e544eed07d42cb6272ec9add894b988049482e70170c433f36674a1aa4d0d
|
|
| MD5 |
d7c428750ea7f8f8b664841d8c61ea48
|
|
| BLAKE2b-256 |
313986dc077fa819aca12614b24b1fcba3f09e5e99b8c1d349cdaddd2664f565
|
File details
Details for the file enhanceml-0.0.1-py3-none-any.whl.
File metadata
- Download URL: enhanceml-0.0.1-py3-none-any.whl
- Upload date:
- Size: 4.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.1.0 requests-toolbelt/0.9.1 tqdm/4.33.0 CPython/3.4.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
572f2714d3ae4f0e9f101b91ae982dddc20dba194fe01630bb9eb400f6c49550
|
|
| MD5 |
d2783d6f05b3ea80b417ac49d6b5e427
|
|
| BLAKE2b-256 |
6363d46088ecb87abb0fa7baf2d3da968d7c80bbf0f4c93e13ca6d586b5cb03e
|