Log Dataset, Hyperparams & Metrics

jovian.log_dataset(data, verbose=True)

Record dataset details for the current experiment

Parameters

• data (dict) – A python dict or a array of dicts to be recorded as Dataset.

• verbose (bool, optional) – By default it prints the acknowledgement, you can remove this by setting the argument to False.

Example

import jovian

data = {
    'path': '/datasets/mnist',
    'description': '28x28 images of handwritten digits (in grayscale)'
}
jovian.log_dataset(data)

jovian.log_hyperparams(data, verbose=True)

Record hyperparameters for the current experiment

Parameters

• data (dict) – A python dict or a array of dicts to be recorded as hyperparmeters.

• verbose (bool, optional) – By default it prints the acknowledgement, you can remove this by setting the argument to False.

Example

import jovian

hyperparams = {
    'arch_name': 'cnn_1',
    'lr': .001
}
jovian.log_hyperparams(hyperparams)

jovian.log_metrics(data, verbose=True)

Record metrics for the current experiment

Parameters

• data (dict) – A python dict or a array of dicts to be recorded as metrics.

• verbose (bool, optional) – By default it prints the acknowledgement, you can remove this by setting the argument to False.

Example

import jovian

metrics = {
    'epoch': 1,
    'train_loss': .5,
    'val_loss': .3,
    'acc': .94
}
jovian.log_metrics(metrics)