Registry / ai-ml / sklearn-evaluation

sklearn-evaluation

library0.12.2pypypi✓ verified 85d ago

A Python library for evaluating scikit-learn models, providing a rich set of plots, tables, and markdown reports. Current version 0.12.2. Released irregularly; latest releases are minor patches.

ai-ml

pip install sklearn-evaluation

github ↗package ↗

INSTALL

IMPORT

SIG · SKLEARN-EVALUATION

sklearn-evaluation

ai-mlpythonv0.12.2

Install

24.8s avg

Import

—

Disk

525MB

Pass rate

5/ 10

Env Coverage5 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v0.12.2 · 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 24.8s · import 0.000s · 512MB

525MB installed

● package 525MB

Code

Verified usage

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

ClassifierEvaluator

✓ from sklearn_evaluation import ClassifierEvaluator

✗ from sklearn_evaluation import ClassificationReport

Train a Random Forest classifier and generate a classification report.

from sklearn.datasets import make_classification from sklearn.model_selection import train_test_split from sklearn.ensemble import RandomForestClassifier from sklearn_evaluation import ClassificationReport X, y = make_classification(random_state=0) X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=0) clf = RandomForestClassifier(random_state=0) clf.fit(X_train, y_train) y_pred = clf.predict(X_test) report = ClassificationReport(y_test, y_pred) print(report) report.plot()

Debug

Known issues

gotchaImport from 'sklearn_evaluation' with underscores, not 'sklearn-evaluation' (hyphen). The package name on PyPI uses a hyphen, but the import uses an underscore.

fix

Use 'from sklearn_evaluation import ...'

affects: all

deprecatedVersion 0.5 introduced a new API for reports, deprecating the old 'sklearn_evaluation.plot.*' functions. Users should use the new object-oriented API (e.g., ClassificationReport, ConfusionMatrix) instead of the old functional interface.

fix

Use classes like ClassificationReport, ConfusionMatrix, etc.

affects: >=0.5

breakingIn version 0.5, the report generation API changed. Old code using 'sklearn_evaluation.report' may break.

fix

Migrate to the new API: from sklearn_evaluation import ClassificationReport

affects: <0.5 to >=0.5

Upgrade

Version history

0.12.2latest on PyPI · released Sep 18, 2024

Audit

Dependencies

scikit-learnrequiredCore dependency for model evaluation

matplotlibrequiredRequired for plotting

pandasrequiredUsed for data manipulation and tables

Agent activity

14 hits · last 30 days

node

OpenAI (training)

Resources

githubhttps://github.com/ploomber/sklearn-evaluation ↗

packagehttps://pypi.org/project/sklearn-evaluation/ ↗