Model Trained Using AutoTrain

  • Problem type: Single Column Regression
  • Model ID: 50442120506
  • CO2 Emissions (in grams): 17.6132

Validation Metrics

  • Loss: 4.426
  • R2: 1.000
  • MSE: 19.592
  • MAE: 1.653
  • RMSLE: 0.000

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)
Downloads last month
8
Inference Examples
Inference API (serverless) does not yet support transformers models for this pipeline type.

Dataset used to train vyver7952/autotrain-foreign-exchange-idr-usd-50442120506