Edit model card
YAML Metadata Error: "widget" must be an array

Model Trained Using AutoTrain

  • Problem type: Multi-label Classification
  • Model ID: 92337144714
  • CO2 Emissions (in grams): 2.0674

Validation Metrics

  • Loss: 3.634

Usage

import json
import joblib

import numpy as np
import pandas as pd

models = 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 = []
for model_ in models:
    predictions_ = model_.predict(data)  # or model.predict_proba(data)[:, 1]
    predictions.append(predictions_)

predictions = np.column_stack(predictions)
Downloads last month
4
Inference Examples
Inference API (serverless) does not yet support transformers models for this pipeline type.