Python client is the main way of logging things to Neptune and there are way more materials on how to use it. Go here to read them.
To log metadata to Neptune you just need to install neptune-client
and add a snippet to your code. See how to do that in 3 steps.
Depending on your operating system open a terminal or CMD and run this command:
pip install neptune-client
conda install -c conda-forge neptune-client
Learn more about the installation.
import neptune.new as neptune​run = neptune.init(project='common/quickstarts',api_token='ANONYMOUS')​# Track metadata and hyperparameters of your runrun["JIRA"] = "NPT-952"run["algorithm"] = "ConvNet"​params = {"batch_size": 64,"dropout": 0.2,"learning_rate": 0.001,"optimizer": "Adam"}run["parameters"] = params​​# Track the training process by logging your training metricsfor epoch in range(100):run["train/accuracy"].log(epoch * 0.6)run["train/loss"].log(epoch * 0.4)​# Log the final resultsrun["f1_score"] = 0.66
python my_script.py