FlexMF BPR

This page analyzes the hyperparameter tuning results for the FlexMF scorer in implicit-feedback mode with pairwise loss (Bayesian Personalized Ranking).

Parameter Search Space

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Parameter	Type	Distribution	Values	Selected
embedding_size_exp	Integer	Uniform	3 ≤ \(x\) ≤ 10	5
regularization	Float	LogUniform	0.0001 ≤ \(x\) ≤ 10	0.0664
learning_rate	Float	LogUniform	0.001 ≤ \(x\) ≤ 0.1	0.00718
reg_method	Categorical	Uniform	L2, AdamW	AdamW
negative_count	Integer	Uniform	1 ≤ \(x\) ≤ 5	4
item_bias	Categorical	Uniform	True, False	False

Final Result

Searching selected the following configuration:

{
    'embedding_size_exp': 5,
    'regularization': 0.0663856149154072,
    'learning_rate': 0.007184176491001479,
    'reg_method': 'AdamW',
    'negative_count': 4,
    'item_bias': False,
    'epochs': 11
}

With these metrics:

{
    'RBP': 0.24754969398670904,
    'DCG': 11.834603286748468,
    'NDCG': 0.4826160071848388,
    'RecipRank': 0.4374838234297654,
    'Hit10': 0.6854413702239789,
    'max_epochs': 50,
    'epoch_train_s': 1.9734547059051692,
    'epoch_measure_s': 5.043461619876325,
    'done': False,
    'training_iteration': 11,
    'trial_id': '49350fd4',
    'date': '2025-09-29_23-29-32',
    'timestamp': 1759202972,
    'time_this_iter_s': 7.0205841064453125,
    'time_total_s': 71.02409791946411,
    'pid': 3910351,
    'hostname': 'CCI-ws21',
    'node_ip': '10.248.127.152',
    'config': {
        'embedding_size_exp': 5,
        'regularization': 0.0663856149154072,
        'learning_rate': 0.007184176491001479,
        'reg_method': 'AdamW',
        'negative_count': 4,
        'item_bias': False,
        'epochs': 11
    },
    'time_since_restore': 71.02409791946411,
    'iterations_since_restore': 11
}