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Autotrain3-0
Notaspy1234/Autotrain3-0
Autotrain3-0 is a tabular regression model from Notaspy1234. Use it for the tabular regression task on the model card, and read the license before you ship it in a product.
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Public
Updated Sep 5, 2023
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At a glance
- Task
- Tabular Regression
- Access
- Public
- Created
- Sep 5, 2023
- Updated
- Sep 5, 2023
- SHA
- 482208ec
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Tabular regression
Validation Metrics
- r2: 0.9753017864826334
- mse: 0.3290419495851166
- mae: 0.47130432128906286
- rmse: 0.5736217826975512
- rmsle: 0.057378419858521094
- loss: 0.5736217826975512
Best Params
- learning_rate: 0.022993157585548683
- reg_lambda: 0.0030417803769039035
- reg_alpha: 0.17755049688249555
- subsample: 0.33171622212758833
- colsample_bytree: 0.10545502763287017
- max_depth: 8
- early_stopping_rounds: 387
- n_estimators: 15000
- eval_metric: rmse
Usage
import json
import joblib
import pandas as pd
model = joblib.load('model.joblib')
config = json.load(open('config.json'))
features = config['features']
# data = pd.read_csv("data.csv")
data = data[features]
predictions = model.predict(data) # or model.predict_proba(data)
# predictions can be converted to original labels using label_encoders.pkl
- Task
- Tabular Regression
- Created
- Sep 5, 2023
- Updated
- Sep 5, 2023