elutins

class BaseDriftParameters:
    """A base class to provide a template/common methods for all feature drift pipelines.

    this class can be copy/pasted into an existing codebase and will by default run all tests set in global_tests,
    numerical_tests, categorical_tests. the only variables that need modified are the high_risk_features,
    low_risk_features, categorical_cols, numeric_cols
    """

    response_fields = []
    # setting default thresholds of failure for tests that are to be run as part of drift detection

elutins

"""Simple flow to demonstrate how to run feature drift detection with Evidently on some dummy data."""
from __future__ import annotations

import os

import numpy as np
import pandas as pd
from metaflow import FlowSpec, batch, card, step  # pylint: disable=no-name-in-module

# BaseDriftParameters found in gist: https://gist.github.com/elutins/14db8768fef4ebd68c197d41b74f93f4

elutins

// Use Gists to store code you would like to remember later on
console.log(window); // log the "window" object to the console