File size: 600 Bytes
3f8d76d
10a5b65
9d5ed04
410b92f
940c82c
96c4203
3f8d76d
96c4203
 
904cf68
96c4203
3f8d76d
 
 
c6e4955
96c4203
c6e4955
 
3f8d76d
f50ef72
940c82c
 
 
c6e4955
940c82c
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
import yaml

from model import Summarization
import pandas as pd
import json


def evaluate_model():
    """
    Evaluate model using rouge measure
    """
    with open("params.yml") as f:
        params = yaml.safe_load(f)

    test_df = pd.read_csv("data/processed/test.csv")[:25]
    model = Summarization()
    model.load_model(model_type=params["model_type"], model_dir=params["model_dir"])
    results = model.evaluate(test_df=test_df, metrics=params["metric"])

    with open("reports/metrics.csv", "w") as fp:
        json.dump(results, fp)


if __name__ == "__main__":
    evaluate_model()