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autotrain-dn6m8-0r8r6
coan/autotrain-dn6m8-0r8r6
autotrain-dn6m8-0r8r6 is a tabular regression model from coan. 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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Updated Dec 12, 2024
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.joblib605 KB · 99%
At a glance
- Task
- Tabular Regression
- Access
- Public
- Created
- Dec 12, 2024
- Updated
- Dec 12, 2024
- SHA
- 5eaa6dc0
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Tabular regression
Validation Metrics
- r2: 0.9984788500175956
- mse: 2424.0886496905105
- mae: 26.34647989435065
- rmse: 49.23503477901189
- rmsle: 0.028818836691457343
- loss: 49.23503477901189
Best Params
- learning_rate: 0.12077471502182306
- reg_lambda: 1.105329890230882e-08
- reg_alpha: 1.4774392499746047
- subsample: 0.73978922085205
- colsample_bytree: 0.8233279668396214
- max_depth: 4
- early_stopping_rounds: 243
- 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
- Dec 12, 2024
- Updated
- Dec 12, 2024