Rare find
Mlxtend. A toolbox of practical helpers for people doing data analysis and machine learning work.
rasbt.github.io/mlxtend
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Updates
June 2026
- update changelog for next release
- Release —v0.25.0
- Release 0.25.0
- Respect y_int flag in check_Xy input validation (#1159)
- preprocessing: standardize constant columns to 0.0 (#1058) (#1163)
- frequent_patterns: reject min_support outside (0, 1] (#864) (#1164)
- feature_selection: add top_k to EFS.get_metric_dict (#610) (#1165)
- preprocessing: handle constant columns in minmax_scaling (#1167) (#1169)
- Add tol option (#1133)
- evaluate: clarify avg_bias is squared bias in bias_variance_decomp (#…
- fix: raise ValueError in minmax_scaling for constant columns (#1171)
- Improve apriori efficiency (#1179)
- Bump tornado from 6.5.4 to 6.5.5 (#1176)
- Bump pygments from 2.19.2 to 2.20.0 (#1177)
- Bump pytest from 9.0.2 to 9.0.3 (#1178)
- Bump mistune from 3.2.0 to 3.2.1 (#1173)
- Bump pillow from 12.0.0 to 12.2.0 (#1174)
- Bump nbconvert from 7.16.6 to 7.17.1 (#1175)
- Use modern uv workflow (#1172)
May 2026
- feat: add pandas DataFrame/Series support to bias_variance_decomp (#1…
January 2026
- style: apply ruff formatting and fix label mapping for #589 (#1157)
December 2025
- Release —v0.24.0
January 2025
- Release —v0.23.4
November 2024
- Release —v0.23.3
- Release —v0.23.2
January 2024
- Release —Version 0.23.1
September 2023
- Release —Version 0.23.0
April 2023
- Release —Version 0.22.0
September 2022
- Release —Version 0.21.0
May 2022
- Release —Version 0.20.0