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Setting Verta Config for the Python client

The Client config file allows you to define settings that are easily repeatable and sharable. This can be either a JSON or a YAML file.
When the Client is instantiated, it will look for a file called verta_config.json or verta_config.yaml in the following locations—in order—using the first one it finds:
1.the current directory
2.parent directories, recursively
3.$HOME/.verta/
Example
Defining a config file like this:
verta_config.yaml
email: "[email protected]"
dev_key: "XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX"
host: "app.verta.ai"
workspace: "My Workspace"
project: "My Project"
experiment: "My Experiment"
allows you go directly from instantiating a client to working with your ExperimentRun without needing to explicitly set the project or experiment in your code:
workflow.py
from verta import Client
​
client = Client()
run = client.set_experiment_run("New Run")
# setting email from config file
# setting dev_key from config file
# setting host from config file
# connection successfully established
# setting experiment from config file
# setting project from config file
# set existing Project: My Project from workspace: My Workspace
# set existing Experiment: My Experiment
# created new ExperimentRun: New Run
Supported fields
For the fields and structure of the config file itself, please refer to the specification here.

Versioning data in Verta

Deploying models

Last modified 1yr ago