library_name: generic tags:
- sklearn
- skops
- tabular-classification
Model Trained Using AutoTrain
- Problem type: Single Column Regression
- Model ID: 97774146941
- CO2 Emissions (in grams): 0.0262
Validation Metrics
- Loss: 1.996
- R2: 0.851
- MSE: 3.983
- MAE: 1.420
- RMSLE: 0.034
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)