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scikit-dimension

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library0.3.4pypypiunverified

scikit-dimension is a Python module for intrinsic dimension estimation built according to the scikit-learn API. It provides estimators for global and local intrinsic dimension, supporting methods like MLE, DANCo, kNN, and others. Current version 0.3.4 is released under the 3-Clause BSD license. Release cadence is irregular.

ai-ml
pip install scikit-dimension
github ↗package ↗
INSTALL
IMPORT
SIG · SCIKIT-DIMENSION
S
scikit-dimension
ai-mlpythonv0.3.4
Install
13.2s avg
Import
—
Disk
465MB
Pass rate
5/ 10
Env Coverage5 / 10
glibc
3.9–3.13
musl
3.9–3.13
Install & Compatibility
Where this runs
tested against v0.3.4 · 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 13.2s · import 0.000s · 458MB
465MB installed
● package 465MB
Code
Verified usage

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

MLE
✓ from skdim import MLE
✗ from skdim.id import MLE

Basic usage of MLE estimator on random data.

from skdim.id import MLE import numpy as np # Generate synthetic data X = np.random.rand(100, 10) # Estimate intrinsic dimension mle = MLE() dim = mle.fit_transform(X) print('Estimated dimension:', dim)
Debug
Known issues
breakingIn v0.3, the `predict` method was changed to `transform`. Code using `predict` will break.
fix
Replace `.predict(X)` with `.transform(X)` or use `fit_transform(X)`.
affects: <0.3
gotchaThe kNN estimator class is named `kNN` (lowercase k), not `KNN`. Importing `KNN` raises ImportError.
fix
Use `from skdim.id import kNN`.
affects: all
gotchaSome estimators (eg MLE, DANCo) may return negative values if the data is not preprocessed. Intrinsic dimension must be non-negative.
fix
Ensure input data is scaled/normalized appropriately, and consider using the `denoising` parameter if available.
affects: all
deprecatedThe 'local' keyword argument in some estimators may be deprecated in future versions. Prefer using the dedicated `Local` or `Global` wrapper classes.
fix
Use `from skdim.local import ...` for local estimators, or check the documentation for the recommended API.
affects: >=0.3
Upgrade
Version history
0.3.4latest on PyPI · released Mar 11, 2024
Audit
Dependencies
scikit-learnrequiredcore dependency, API and estimator interface
numpyrequirednumerical computations
Agent activity
12 hits · last 30 days
node
8
OpenAI (training)
1
Resources
githubhttps://github.com/j-bac/scikit-dimension ↗
packagehttps://pypi.org/project/scikit-dimension/ ↗
scikit-dimension — pip install scikit-dimension · libregistry