Get started with Verta in 5 minutes.
Sign-up on the Verta instance setup for your organization. If you are using our trial instance, you can sign up here
Log into the Verta Web App and visit the Profile page to find your developer key.
The Verta client supports Python 2.7 & 3.5–3.8!
# via pippython -m pip install verta
Python 2.7 & 3.6–3.8 is supported through conda, as well.
# via condaconda install verta -c conda-forge
from verta import Clientclient = Client(HOST, email=VERTA_EMAIL, dev_key=VERTA_DEV_KEY)
proj = client.set_project("Fraud Detection")expt = client.set_experiment("Recurrent Neural Net")
run = client.set_experiment_run("Two-Layer Dropout LSTM")run.log_hyperparameter("num_layers", 2)run.log_hyperparameter("hidden_size", 512)run.log_hyperparameter("dropout", 0.5)
Now that you have versioned a few models, you can interact with them in a variety of ways:
Build dashboards on the Verta Web App based on the models
Merge, branch, and manage all changes to your models
Share your models and reports with your organization or publicly
Deploy versioned models via Verta Deployment and Monitoring