skope-rules

library1.0.1pypypiunverified

skope-rules is a Python library for interpretable machine learning. It extracts decision rules from tree-based models to provide transparent predictions. Last version: 1.0.1 (released 2023). Low release cadence.

ai-ml

pip install skope-rules

github ↗package ↗

INSTALL

IMPORT

SIG · SKOPE-RULES

skope-rules

ai-mlpythonv1.0.1

Install

14.0s avg

Import

—

Disk

353MB

Pass rate

5/ 10

Env Coverage5 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v1.0.1 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

py 3.10–3.95 runs

build_error

glibc

py 3.10–3.95 runs

installs and imports cleanly · install 14.0s · import 0.000s · 341MB

353MB installed

● package 353MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

SkopeRules

✓ from skrules import SkopeRules

✗ from skrules import SkopeRules

Basic usage: train SkopeRules classifier on Iris dataset.

from skrules import SkopeRules from sklearn.datasets import load_iris from sklearn.model_selection import train_test_split X, y = load_iris(return_X_y=True) X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42) clf = SkopeRules(max_depth_duplication=2, n_estimators=10, random_state=42) clf.fit(X_train, y_train) scores = clf.score(X_test, y_test) print(scores)

Debug

Known issues

gotchaThe import path uses 'skrules' not 'skope_rules'. Using 'from skope_rules import SkopeRules' will raise ImportError.

fix

Use 'from skrules import SkopeRules'.

affects: all

gotchaSkopeRules.score() returns a list of scores (one per class) for multi-class problems, not a single accuracy. This differs from sklearn convention.

fix

Use clf.score(X_test, y_test) which returns per-class scores. For overall accuracy, compute manually: (clf.predict(X_test) == y_test).mean()

affects: all

deprecatedParameter 'max_depth_duplication' is deprecated in favor of 'max_depth' in future versions? Not officially deprecated yet, but be cautious with parameter names.

fix

Use 'max_depth' if available, else 'max_depth_duplication'.

affects: >=1.0.0

Upgrade

Version history

1.0.1latest on PyPI · released Jan 25, 2020

Audit

Dependencies

No dependency data recorded yet.

Agent activity

21 hits · last 30 days

node

OpenAI (training)

Resources

githubhttps://github.com/scikit-learn-contrib/skope-rules ↗

packagehttps://pypi.org/project/skope-rules/ ↗