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Uncertainty (deterministic)

version: 0.1.0
trait: uncertainty
profile: deterministic

View spec source on GitHub

Run with uvx from release on pypi.org:

uvx --with mlwp-data-specs mlwp.validate_dataset_traits --uncertainty deterministic <DATASET_PATH_OR_URL>

Warning: mlwp-data-specs is not published on PyPI yet, so this command is included for future release usage.

Run directly from GitHub source:

uvx --from "git+https://github.com/mlwp-tools/mlwp-data-specs" mlwp.validate_dataset_traits --uncertainty deterministic <DATASET_PATH_OR_URL>

Python API:

from mlwp_data_specs import validate_dataset

report = validate_dataset(ds, uncertainty="deterministic")

1. Introduction

This document defines trait-level requirements for uncertainty representation in MLWP datasets. The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT", "SHOULD", "SHOULD NOT", "RECOMMENDED", "MAY", and "OPTIONAL" in this document are to be interpreted as described in RFC 2119.

2. Scope

This specification applies to datasets validated with the uncertainty=deterministic profile.

3. Structural Requirements

3.1 Accepted Dimension Variants

  • No uncertainty-specific dimensions are required for this profile.

3.2 Required Coordinates

  • This profile defines no required uncertainty coordinates.

3.3 Optional Coordinates

  • The dataset MAY include optional coordinates for this profile: [].

3.4 Optional Dimensions

  • The dataset MAY include optional dimensions for this profile: [].

4. Coordinate Metadata Requirements

  • No uncertainty coordinate metadata is required.