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A/B testing & experimentation

User bucketing, experiment metrics, statistical comparison, and rollout guardrails.

3 matches

How to Define a Mock Primary Metric in Python

Define a mock primary metric object with a name, value, and unit, and serialize it to a dictionary for experimentation and testing.

metrics mock ab-testing

Python

class Metric:
    def __init__(self, name, value, unit=None):
        self.name = name
        self.value = value
        self.unit = unit

    def to_dict(self):
        result = {"name": self.name, "value": self.value}
        if self.unit:
            result["unit"] = self.unit
        return result

    def __repr…

15 0 Open

A/B testing & experimentation medium

How to join assignment logs with outcomes in Python

Merge submission log entries with grading outcomes using left join and full outer join patterns in pure Python.

join data-merge ab-testing

Python

from datetime import datetime, timedelta

class AssignmentLog:
    def __init__(self):
        self.logs = [
            {"assignment_id": 101, "student_id": "S001", "submitted_at": "2024-03-01 10:30:00"},
            {"assignment_id": 101, "student_id": "S002", "submitted_at": "2024-03-02 14:15:00"},
            {"as…

12 0 Open

A/B testing & experimentation medium

Synthetic Control in Python: Mock Example

Implements synthetic control from scratch: learns donor weights via ridge regression on pre-period data, then predicts a counterfactual for the treated unit.

synthetic-control causal-inference numpy

Python

import numpy as np

class SyntheticControl:
    def __init__(self, data, treated_index, pre_periods, post_periods):
        self.data = np.array(data, dtype=float)
        self.treated_index = treated_index
        self.pre_periods = pre_periods
        self.post_periods = post_periods
        
    def fit_weights(sel…

14 0 Open

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