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statlab

PyPi version

statlab is a new Python package offering a variety of statistical and machine learning tools.

Products

"ord" ordinal classification tools

Submodule contains:

  • TreeOrdinalClassifier
  • SubtractionOrdinalClassifier
  • Functions to calculate classification metrics on ordinal data

Submodule developed by: Noam Rotenberg, Andreia Faria, Brian Caffo

Examples coming soon!

"aled" Adaptive Label Error Detection

Submodule contains: ALED class

Methods details and cite: (details available soon)

Submodule developed by: Zan Chaudhry, Noam Rotenberg, Brian Caffo, Craig Jones, Haris Sair

Example available in examples/aled-medMNIST.py

Usage

Install: !pip install statlab

Import a single module: import statlab.ord - imports only ord

Import all modules: from statlab.all import * - can access any function without prefixes, e.g., TreeOrdinalClassifier(base_clf)

Specific example:

!pip install statlab
import statlab.ord
base_clf = # some sklearn-style classifier
clf = statlab.ord.TreeOrdinalClassifier(base_clf)

Future work:

  • Dataset mislabeling detection and classification
  • Naive Bayes classifier using nonparametric statistics
  • Automated nonlinear feature tuning

Metadata

Release files for statlab 0.0.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for statlab 0.0.4
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statlab-0.0.4.tar.gz 14.1 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for statlab 0.0.4
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statlab-0.0.4-py3-none-any.whl Python 3 none any Details

Total release size: 24.6 kB

Release files / statlab-0.0.4.tar.gz

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Release files / statlab-0.0.4-py3-none-any.whl

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