Client

View Source on Github

Arize class to begin logging predictions and actuals from a Pandas.DataFrame.

Import and initialize Arize Client from arize.pandas.logger

from arize.pandas.logger import Client

class Client(
    api_key: str #from Arize platform
    space_key: str 
    uri: Optional[str] = "https://api.arize.com/v1"
)

Argument	Data Type	Description
api_key	str	(Required) Arize-provided api key associated with your service/space. Click "Show API Key" in the "Upload Data" page in the Arize UI to copy the key.
space_key	str	(Required) Arize-provided identifier for relating records to spaces. Click "Show API Key" in the "Upload Data" page in the Arize UI to copy the key.
uri	str	(Optional) URI endpoint required for on-prem customers. Defaults to "https://api.arize.com/v1"

Code Example

from arize.pandas.logger import Client, Schema
from arize.utils.types import ModelTypes, Environments, Schema, Metrics
import pandas as pd

SPACE_KEY = "SPACE_KEY"  # update value here with your Space Key
API_KEY = "API_KEY"  # update value here with your API key

arize_client = Client(space_key=SPACE_KEY, api_key=API_KEY)

if SPACE_KEY == "SPACE_KEY" or API_KEY == "API_KEY":
    raise ValueError("❌ NEED TO CHANGE SPACE AND/OR API_KEY")
else:
    print(
        "✅ Import and Setup Arize Client Done! Now we can start using Arize!"
    )