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Commit From AutoTrain
e7d3382
metadata
tags:
  - autotrain
  - tabular
  - regression
  - tabular-regression
datasets:
  - vyver7952/autotrain-data-foreign-exchange-idr-usd
co2_eq_emissions:
  emissions: 17.613208052550398

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)