Installation
Quick guide to install the dataquality client powering Galileo
Galileo works with python 3.7+ environments.
You can install the Galileo Python client via a simple pip install.
pip install --upgrade pip dataquality
[Enterprise Only] Set your Galileo Console URL
To point to your custom Enterprise environment, simply call
import dataquality as dq
dq.set_console_url()
Login
Simply run the following lines in your notebook/python runtime.
import dataquality as dq
dq.login()
In Galileo, your experimentation is organized into projects and runs.
- Project: A top-level namespace holding one or more associated Runs.
- Run: A single instance of a model training/evaluation loop where data is logged.
Initialize a new run in Galileo by calling
dq.init() as indq.init(
task_type="text_classification",
project_name="my_awesome_project",
run_name="my_awesome_run"
)
where
project_name and run_name are optional. If not provided, a generated name for each will be created and used.Task Types supported
For more details about your use-case, choose your task type.
Natural Language Processing (NLP):
Computer Vision (CV):
Last modified 2mo ago