MetricPack Studio

Description: Metrics system and evaluation recipe one-stop management

Product category: Evaluation metrics / KPI kit

Applicable platforms: Web, CLI, Docker

Technical affiliation: Evaluation, statistical testing

Programming language affiliation: Python, R, YAML

Tags: #Evaluation #Metrics Product 

Type: Evaluation metrics / KPI kit

MetricPack Studio provides a versionable metrics recipe system that solidifies metrics caliber, statistical testing, and interval estimation into reusable Artefact. It has built-in MAE/RMSE/MASE, CRPS, quantile coverage, return-risk pair, drawdown, stability, latency, and cost metrics, and supports t/KS/PSI distribution tests, automatically generating significance determinations against Baseline. For time series forecasting, it supports rolling/sliding window backtesting and multi-step lookahead; for multimodal tasks, it provides modality contribution/occlusion experiment; for policy/decision models, it provides offline backtesting, counterfactual evaluation, and out-of-bounds rate detection. MetricPack drives batch evaluation through YAML/JSON recipes, ensuring comparability and traceability across teams, models, and versions, and can output evaluation cards for approval and go-live gates. It turns "how to evaluate" from verbal consensus into engineering fact.

Delivery method: Instant digital download after purchase
License: Single-user commercial license
Usage limit: One-time use
Support: Technical documentation provided in the delivery file; no human technical support included