in curiosity/cli.py [0:0]
def majority(metrics_dir):
"""
Obtain a majority baseline for like prediction
"""
model = MajorityLikes()
model.train(TRAIN_DIALOGS)
val_score = model.score(VAL_DIALOGS)
test_score = model.score(TEST_DIALOGS)
zero_score = model.score(ZERO_DIALOGS)
log.info("Like prediction")
log.info(f"Validation Score: {val_score}")
log.info(f"Test Score: {test_score}")
log.info(f"Zero Score: {zero_score}")
save_metrics(
{
"best_validation_like_accuracy": val_score,
},
os.path.join(metrics_dir, "like_majority_val_metrics.json"),
)
save_metrics(
{
"best_validation_like_accuracy": test_score,
},
os.path.join(metrics_dir, "like_majority_test_metrics.json"),
)
save_metrics(
{
"best_validation_like_accuracy": zero_score,
},
os.path.join(metrics_dir, "like_majority_zero_metrics.json"),
)