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
- 8
Inference API (serverless) does not yet support transformers models for this pipeline type.