What's new in mlpy 3.4.0
Jan 10, 2012
- New features:
- Standard DTW added
- Subsequence DTW added
- Standard LCS added
- Fix:
- LibSvm: fix error when x is a list in learn() method
- fix code for vc++
- fix setup.py (cblas)
New in mlpy 3.3.0 (Dec 20, 2011)
- New features:
- Maximum Likelihood Classifier (MaximumLikelihoodC) added
- Classification Tree added;
- KNN: remove labels restrictions
- Fix:
- fix elasticnet classifier doc
- fix PCA (method paramenter): PCA method was always svd
- setup.py: fix classifiers
New in mlpy 3.2.1 (Dec 9, 2011)
- Fix:
- fix stats import in __init__
- PLS: speed improved
- remove function declaration isn't a prototype warnings from libml
- clean findpeaks
- mlpy works with python 3.X
- add KNN to __all__
New in mlpy 3.2 (Dec 5, 2011)
- New features:
- PLS added
- Fix:
- fix docs in LibSVM and KernelAdatron
- fix svg log
- minor fix in LibSVM and KernelAdatron
- include stddef.h in fastcluster
New in mlpy 3.1 (Dec 5, 2011)
- New features:
- Golub classifier added
- RFE (w^2) added
- RFE-KFDA added
- Kernel Fisher Classifier added
- kernel class system added
- Fix:
- Perceptron: fix pred() output when t is 1d