FlexMF Logistic

This page analyzes the hyperparameter tuning results for the FlexMF scorer in implicit-feedback mode with logistic loss (Logistic Matrix Factorization).

Parameter Search Space

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Parameter	Type	Distribution	Values	Selected
embedding_size_exp	Integer	Uniform	3 ≤ \(x\) ≤ 10	8
regularization	Float	LogUniform	0.0001 ≤ \(x\) ≤ 10	0.346
learning_rate	Float	LogUniform	0.001 ≤ \(x\) ≤ 0.1	0.00313
reg_method	Categorical	Uniform	L2, AdamW	AdamW
negative_count	Integer	Uniform	1 ≤ \(x\) ≤ 5	4
positive_weight	Float	Uniform	1 ≤ \(x\) ≤ 10	1.98
user_bias	Categorical	Uniform	True, False	True
item_bias	Categorical	Uniform	True, False	True

Final Result

Searching selected the following configuration:

{
    'embedding_size_exp': 8,
    'regularization': 0.34557498661015595,
    'learning_rate': 0.0031270400753845807,
    'reg_method': 'AdamW',
    'negative_count': 4,
    'positive_weight': 1.9823806801886432,
    'user_bias': True,
    'item_bias': True,
    'epochs': 13
}

With these metrics:

{
    'RBP': 0.2512356555189226,
    'DCG': 11.872558202768435,
    'NDCG': 0.484293399165171,
    'RecipRank': 0.4444466963704219,
    'Hit10': 0.6814888010540184,
    'max_epochs': 50,
    'epoch_train_s': 2.6057158031035215,
    'epoch_measure_s': 3.3271000599488616,
    'done': False,
    'training_iteration': 13,
    'trial_id': '02d842d1',
    'date': '2025-09-29_14-47-57',
    'timestamp': 1759171677,
    'time_this_iter_s': 5.936446189880371,
    'time_total_s': 125.33728742599487,
    'pid': 3502639,
    'hostname': 'CCI-ws21',
    'node_ip': '10.248.127.152',
    'config': {
        'embedding_size_exp': 8,
        'regularization': 0.34557498661015595,
        'learning_rate': 0.0031270400753845807,
        'reg_method': 'AdamW',
        'negative_count': 4,
        'positive_weight': 1.9823806801886432,
        'user_bias': True,
        'item_bias': True,
        'epochs': 13
    },
    'time_since_restore': 125.33728742599487,
    'iterations_since_restore': 13
}