Auto ML for Solving Classification Problems for Tabular Data
Functionality of the Auto ML Framework
- Detects the type of problem from the given target feature
- Does EDA on it's own
- Finds out if there are null values present or not
- If null values are present they are treated specifically with the class they are present in
- Forms train-test split on it's own
- Applies 6 ML models to show the use which model performs the best
Usage
- Make sure you have Python installed in your system.
- Run Following command in the CMD.
pip install ARAMBHML
Example
test.py
from ARAMBHML import arambhNet
new = arambhNet(path,target) #target is the dependent feature and path is the path of csv file
new.get_model_details(path,target)
Run the Above Commands to get the results.
NOTE There are more than functionalities available, you can press "tab" after "new." to get the options
Here you can perform EDA and also see how do models perform on the dataset.
Note
- I have tried to implement all the functionality, it might have some bugs also. Moreover a number of more functionalities would be added later.
1 maintainer
Metadata
1 maintainer
Release files for ARAMBHML 0.2.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ARAMBHML-0.2.4.tar.gz | 5.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ARAMBHML-0.2.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 11.4 kB
Release files / ARAMBHML-0.2.4.tar.gz
| Download URL | ARAMBHML-0.2.4.tar.gz |
|---|---|
| Size | 5.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / ARAMBHML-0.2.4-py3-none-any.whl
| Download URL | ARAMBHML-0.2.4-py3-none-any.whl |
|---|---|
| Size | 6.3 kB |
| Tags | Python 3 |
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twine/3.4.1 importlib_metadata/4.6.0 pkginfo/1.5.0.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6
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