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autotrain-600-dragino-1839063122
pcoloc/autotrain-600-dragino-1839063122
autotrain-600-dragino-1839063122 is a tabular regression model from pcoloc. Use it for the tabular regression task on the model card, and read the license before you ship it in a product. It is set up for transformers.
- Problem type: Single Column Regression - Model ID: 1839063122 - CO2 Emissions (in grams): 0.1276
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.joblib7.2 KB · 75%
At a glance
- Task
- Tabular Regression
- Library
- transformers
- Access
- Public
- Created
- Oct 22, 2022
- Updated
- Oct 22, 2022
- SHA
- ecb737d1
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Single Column Regression
- Model ID: 1839063122
- CO2 Emissions (in grams): 0.1276
Validation Metrics
- Loss: 93.595
- R2: 0.502
- MSE: 8760.052
- MAE: 77.527
- RMSLE: 0.445
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]
data.columns = ["feat_" + str(col) for col in data.columns]
predictions = model.predict(data) # or model.predict_proba(data)
- Task
- Tabular Regression
- Library
- transformers
- Created
- Oct 22, 2022
- Updated
- Oct 22, 2022