Tools for getting analysis of all classifiers and regressors
Project description
For Regression call this function with following parameters
regression_report_generation(dataframe, target=target_column_name)
For Classification call this function with following parameters
classification_report_generation(dataframe, target_column_name, n=2)
1. put n=2 for binary classification
2. for multiclass classification put n=no of classes
prerequisite:
1. Label Encode all Categorical Variables including target classification variable
2. Install all dependancies
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
File details
Details for the file AutoClassifierRegressor-0.0.1a2.tar.gz.
File metadata
- Download URL: AutoClassifierRegressor-0.0.1a2.tar.gz
- Upload date:
- Size: 4.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.7.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 79361d165c1c60490a911c35f6382c4dfb1f51672e899fd6af15879273a0dcca |
|
| MD5 | fd651979adfabeae1df841241814f871 |
|
| BLAKE2b-256 | ee1abb9ab06a0f5ec528bcb5be8699ececdc4ffcf6bf56a50c7afbc926c0abca |
File details
Details for the file AutoClassifierRegressor-0.0.1a2-py3-none-any.whl.
File metadata
- Download URL: AutoClassifierRegressor-0.0.1a2-py3-none-any.whl
- Upload date:
- Size: 5.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.7.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | e80a818037cc865d96dff51baeb8139cf4a6e55b26365d06271c37452154be3a |
|
| MD5 | 067bb5a990893a1be09b7a4cdeb87d3d |
|
| BLAKE2b-256 | 9cdefe2e30502d1cd812836741db2721c26cd4fdc596be9044c65dbe1f054e2d |
