Model Trained Using AutoTrain

  • Problem type: Single Column Regression
  • Model ID: 40913105966
  • CO2 Emissions (in grams): 5.6425

Validation Metrics

  • Loss: 1.510
  • R2: 0.940
  • MSE: 2.280
  • MAE: 0.194
  • RMSLE: 0.061

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)
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Inference Examples
Inference API (serverless) does not yet support transformers models for this pipeline type.