Generative AutoML for Tabular Data
Project description
SapientML
Generative AutoML for Tabular Data
Getting Started
Prerequisites
- Python >=3.9,<3.11
Installation
pip install sapientml
Generate Code in a notebook
Please download housing-prices.csv to execute the following code.
import pandas as pd
df = pd.read_csv("housing-prices.csv")
from sapientml import SapientML
sml = SapientML()
ret = sml.generate_code(
training_data=df,
task_type="regression",
target_columns=["SalePrice"],
ignore_columns=["Id"],
adaptation_metric="RMSE",
hyperparameter_tuning=False,
id_columns_for_prediction=["Id"]
)
ret.save(
"outputs",
save_dev_scripts=True,
save_user_scripts=True,
save_datasets=True,
save_running_arguments=True,
)
Run Generated Code
cd outputs/
python final_script.py
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