import joblib
import numpy as np
from sklearn.ensemble import RandomForestClassifier

def ordinal_encoder(input_val, feats):
    feat_val = list(1+np.arange(len(feats)))
    feat_key = feats
    feat_dict = dict(zip(feat_key, feat_val))
    value = feat_dict[input_val]
    return value

def get_prediction(data,model):
    """
    Predict the class of a given data point.
    """
    return model.predict(data)