import csv
import pandas as pd
import tensorflow as tf


X_test = pd.read_csv('test.csv')

Y_test = X_test.pop('stabf')
Y_test = pd.get_dummies(Y_test)

model = tf.keras.models.load_model('grid-stability-dense.h5')
results = model.evaluate(X_test, Y_test, batch_size=64)

with open('eval.csv', 'a', newline='') as fp:
    wr = csv.writer(fp, dialect='excel')
    wr.writerow(results)