| Name | eazyml JSON |
| Version |
0.0.9
JSON |
| download |
| home_page | https://eazyml.com/ |
| Summary | Python client for EazyML Modeling |
| upload_time | 2024-12-18 14:36:11 |
| maintainer | None |
| docs_url | None |
| author | Eazyml |
| requires_python | >=3.8 |
| license | None |
| keywords |
python
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
## Eazyml Modeling
  
This API allows users to build machine learning models.
### Features
- Build model and predict on test data for given model.
- Provides utils function which can be used to beautify dataframe, dict or markdown format data.
### APIs
It provides following apis :
1. ez_init_model :
Initialize and build a predictive model based on the provided dataset and options.
```python
ez_init_model(
df='train_dataframe'
options={
"model_type": "predictive",
"accelerate": "yes",
"outcome": "target",
"remove_dependent": "no",
"derive_numeric": "yes",
"derive_text": "no",
"phrases": {"*": []},
"text_types": {"*": ["sentiments"]},
"expressions": []
}
)
2. ez_predict :
Perform prediction on the given test data based on model options and validate the input dataset.
```python
ez_predict(
test_data ='test_dataframe'
options={
"extra_info": {
},
"model": "Specified model to be used for prediction",
"outcome": "target",
}
)
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