
## Usage

```python
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]

predictions = model.predict(data)  # or model.predict_proba(data)

```
{"license": "openrail", "library_name": "sklearn", "tags": ["tabular", "classification", "tabular-classification"], "pipeline_tag": "tabular-classification"}
sklearn joblib tabular classification tabular-classification license:openrail endpoints_compatible has_space region:us
TAGS
#sklearn #joblib #tabular #classification #tabular-classification #license-openrail #endpoints_compatible #has_space #region-us 


## Usage


## Usage
TAGS
#sklearn #joblib #tabular #classification #tabular-classification #license-openrail #endpoints_compatible #has_space #region-us 
 ## Usage