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  4. sacred.metrics_logger.ScalarMetricLogEntry
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How to use the sacred.metrics_logger.ScalarMetricLogEntry function in sacred

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github IDSIA / sacred / tests / test_observers / test_queue_mongo_observer.py View on Github external
def logged_metrics():
    return [
        ScalarMetricLogEntry("training.loss", 10, datetime.datetime.utcnow(), 1),
        ScalarMetricLogEntry("training.loss", 20, datetime.datetime.utcnow(), 2),
        ScalarMetricLogEntry("training.loss", 30, datetime.datetime.utcnow(), 3),
        ScalarMetricLogEntry("training.accuracy", 10, datetime.datetime.utcnow(), 100),
        ScalarMetricLogEntry("training.accuracy", 20, datetime.datetime.utcnow(), 200),
        ScalarMetricLogEntry("training.accuracy", 30, datetime.datetime.utcnow(), 300),
        ScalarMetricLogEntry("training.loss", 40, datetime.datetime.utcnow(), 10),
        ScalarMetricLogEntry("training.loss", 50, datetime.datetime.utcnow(), 20),
        ScalarMetricLogEntry("training.loss", 60, datetime.datetime.utcnow(), 30),
    ]
github IDSIA / sacred / tests / test_observers / test_mongo_observer.py View on Github external
def logged_metrics():
    return [
        ScalarMetricLogEntry("training.loss", 10, datetime.datetime.utcnow(), 1),
        ScalarMetricLogEntry("training.loss", 20, datetime.datetime.utcnow(), 2),
        ScalarMetricLogEntry("training.loss", 30, datetime.datetime.utcnow(), 3),
        ScalarMetricLogEntry("training.accuracy", 10, datetime.datetime.utcnow(), 100),
        ScalarMetricLogEntry("training.accuracy", 20, datetime.datetime.utcnow(), 200),
        ScalarMetricLogEntry("training.accuracy", 30, datetime.datetime.utcnow(), 300),
        ScalarMetricLogEntry("training.loss", 40, datetime.datetime.utcnow(), 10),
        ScalarMetricLogEntry("training.loss", 50, datetime.datetime.utcnow(), 20),
        ScalarMetricLogEntry("training.loss", 60, datetime.datetime.utcnow(), 30),
    ]
github IDSIA / sacred / tests / test_observers / test_mongo_observer.py View on Github external
def logged_metrics():
    return [
        ScalarMetricLogEntry("training.loss", 10, datetime.datetime.utcnow(), 1),
        ScalarMetricLogEntry("training.loss", 20, datetime.datetime.utcnow(), 2),
        ScalarMetricLogEntry("training.loss", 30, datetime.datetime.utcnow(), 3),
        ScalarMetricLogEntry("training.accuracy", 10, datetime.datetime.utcnow(), 100),
        ScalarMetricLogEntry("training.accuracy", 20, datetime.datetime.utcnow(), 200),
        ScalarMetricLogEntry("training.accuracy", 30, datetime.datetime.utcnow(), 300),
        ScalarMetricLogEntry("training.loss", 40, datetime.datetime.utcnow(), 10),
        ScalarMetricLogEntry("training.loss", 50, datetime.datetime.utcnow(), 20),
        ScalarMetricLogEntry("training.loss", 60, datetime.datetime.utcnow(), 30),
    ]
github IDSIA / sacred / tests / test_observers / test_queue_mongo_observer.py View on Github external
def logged_metrics():
    return [
        ScalarMetricLogEntry("training.loss", 10, datetime.datetime.utcnow(), 1),
        ScalarMetricLogEntry("training.loss", 20, datetime.datetime.utcnow(), 2),
        ScalarMetricLogEntry("training.loss", 30, datetime.datetime.utcnow(), 3),
        ScalarMetricLogEntry("training.accuracy", 10, datetime.datetime.utcnow(), 100),
        ScalarMetricLogEntry("training.accuracy", 20, datetime.datetime.utcnow(), 200),
        ScalarMetricLogEntry("training.accuracy", 30, datetime.datetime.utcnow(), 300),
        ScalarMetricLogEntry("training.loss", 40, datetime.datetime.utcnow(), 10),
        ScalarMetricLogEntry("training.loss", 50, datetime.datetime.utcnow(), 20),
        ScalarMetricLogEntry("training.loss", 60, datetime.datetime.utcnow(), 30),
    ]
github IDSIA / sacred / tests / test_metrics_logger.py View on Github external
def test_linearize_metrics():
    entries = [
        ScalarMetricLogEntry("training.loss", 10, datetime.datetime.utcnow(), 100),
        ScalarMetricLogEntry("training.accuracy", 5, datetime.datetime.utcnow(), 50),
        ScalarMetricLogEntry("training.loss", 20, datetime.datetime.utcnow(), 200),
        ScalarMetricLogEntry("training.accuracy", 10, datetime.datetime.utcnow(), 100),
        ScalarMetricLogEntry("training.accuracy", 15, datetime.datetime.utcnow(), 150),
        ScalarMetricLogEntry("training.accuracy", 30, datetime.datetime.utcnow(), 300),
    ]
    linearized = linearize_metrics(entries)
    assert type(linearized) == dict
    assert len(linearized.keys()) == 2
    assert "training.loss" in linearized
    assert "training.accuracy" in linearized
    assert len(linearized["training.loss"]["steps"]) == 2
    assert len(linearized["training.loss"]["values"]) == 2
    assert len(linearized["training.loss"]["timestamps"]) == 2
    assert len(linearized["training.accuracy"]["steps"]) == 4
    assert len(linearized["training.accuracy"]["values"]) == 4
github IDSIA / sacred / tests / test_observers / test_mongo_observer.py View on Github external
def logged_metrics():
    return [
        ScalarMetricLogEntry("training.loss", 10, datetime.datetime.utcnow(), 1),
        ScalarMetricLogEntry("training.loss", 20, datetime.datetime.utcnow(), 2),
        ScalarMetricLogEntry("training.loss", 30, datetime.datetime.utcnow(), 3),
        ScalarMetricLogEntry("training.accuracy", 10, datetime.datetime.utcnow(), 100),
        ScalarMetricLogEntry("training.accuracy", 20, datetime.datetime.utcnow(), 200),
        ScalarMetricLogEntry("training.accuracy", 30, datetime.datetime.utcnow(), 300),
        ScalarMetricLogEntry("training.loss", 40, datetime.datetime.utcnow(), 10),
        ScalarMetricLogEntry("training.loss", 50, datetime.datetime.utcnow(), 20),
        ScalarMetricLogEntry("training.loss", 60, datetime.datetime.utcnow(), 30),
    ]
github IDSIA / sacred / tests / test_observers / test_mongo_observer.py View on Github external
def logged_metrics():
    return [
        ScalarMetricLogEntry("training.loss", 10, datetime.datetime.utcnow(), 1),
        ScalarMetricLogEntry("training.loss", 20, datetime.datetime.utcnow(), 2),
        ScalarMetricLogEntry("training.loss", 30, datetime.datetime.utcnow(), 3),
        ScalarMetricLogEntry("training.accuracy", 10, datetime.datetime.utcnow(), 100),
        ScalarMetricLogEntry("training.accuracy", 20, datetime.datetime.utcnow(), 200),
        ScalarMetricLogEntry("training.accuracy", 30, datetime.datetime.utcnow(), 300),
        ScalarMetricLogEntry("training.loss", 40, datetime.datetime.utcnow(), 10),
        ScalarMetricLogEntry("training.loss", 50, datetime.datetime.utcnow(), 20),
        ScalarMetricLogEntry("training.loss", 60, datetime.datetime.utcnow(), 30),
    ]
github IDSIA / sacred / tests / test_observers / test_file_storage_observer.py View on Github external
def logged_metrics():
    return [
        ScalarMetricLogEntry("training.loss", 10, datetime.datetime.utcnow(), 1),
        ScalarMetricLogEntry("training.loss", 20, datetime.datetime.utcnow(), 2),
        ScalarMetricLogEntry("training.loss", 30, datetime.datetime.utcnow(), 3),
        ScalarMetricLogEntry("training.accuracy", 10, datetime.datetime.utcnow(), 100),
        ScalarMetricLogEntry("training.accuracy", 20, datetime.datetime.utcnow(), 200),
        ScalarMetricLogEntry("training.accuracy", 30, datetime.datetime.utcnow(), 300),
        ScalarMetricLogEntry("training.loss", 40, datetime.datetime.utcnow(), 10),
        ScalarMetricLogEntry("training.loss", 50, datetime.datetime.utcnow(), 20),
        ScalarMetricLogEntry("training.loss", 60, datetime.datetime.utcnow(), 30),
    ]
github IDSIA / sacred / tests / test_observers / test_mongo_observer.py View on Github external
def logged_metrics():
    return [
        ScalarMetricLogEntry("training.loss", 10, datetime.datetime.utcnow(), 1),
        ScalarMetricLogEntry("training.loss", 20, datetime.datetime.utcnow(), 2),
        ScalarMetricLogEntry("training.loss", 30, datetime.datetime.utcnow(), 3),
        ScalarMetricLogEntry("training.accuracy", 10, datetime.datetime.utcnow(), 100),
        ScalarMetricLogEntry("training.accuracy", 20, datetime.datetime.utcnow(), 200),
        ScalarMetricLogEntry("training.accuracy", 30, datetime.datetime.utcnow(), 300),
        ScalarMetricLogEntry("training.loss", 40, datetime.datetime.utcnow(), 10),
        ScalarMetricLogEntry("training.loss", 50, datetime.datetime.utcnow(), 20),
        ScalarMetricLogEntry("training.loss", 60, datetime.datetime.utcnow(), 30),
    ]
github IDSIA / sacred / tests / test_observers / test_file_storage_observer.py View on Github external
def logged_metrics():
    return [
        ScalarMetricLogEntry("training.loss", 10, datetime.datetime.utcnow(), 1),
        ScalarMetricLogEntry("training.loss", 20, datetime.datetime.utcnow(), 2),
        ScalarMetricLogEntry("training.loss", 30, datetime.datetime.utcnow(), 3),
        ScalarMetricLogEntry("training.accuracy", 10, datetime.datetime.utcnow(), 100),
        ScalarMetricLogEntry("training.accuracy", 20, datetime.datetime.utcnow(), 200),
        ScalarMetricLogEntry("training.accuracy", 30, datetime.datetime.utcnow(), 300),
        ScalarMetricLogEntry("training.loss", 40, datetime.datetime.utcnow(), 10),
        ScalarMetricLogEntry("training.loss", 50, datetime.datetime.utcnow(), 20),
        ScalarMetricLogEntry("training.loss", 60, datetime.datetime.utcnow(), 30),
    ]

sacred

Facilitates automated and reproducible experimental research

GitHub
MIT
Latest version published 6 months ago

Package Health Score

76 / 100
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