1.2.0

What's New !

• Principal Component Analysis
• Better CSV parsing with Univocity
• Train Test Shuffle Dataframes
• Decision Tree Classifier / Regressor
• Random Forest Classifier / Regressor

1.1.1

Fixes

• Linear regression data normalizing done wrongly

Misc

• Better logging for KMeans / Kmedians

1.1.0

What's New !

• double bandwidth for MedoidShift
• better medoid shift logging

FIxes

• format negative numbers

Misc

• more complete README docs

1.0.1

Changelog

Fixed

• corrected groupId and artifactId

1.0.0

Changelog

What's new

• logistic regression
• softmax regression
• kmedoids clustering
• mean and median shift
• kmedoid evaluator
• plus plus strategy for Kmedoid
• dataframe filter
• regularization of loss and gradient
• implement multivariate linear regressionand packages

Fixes

• using a functional wagon storage version
• permission on file execution
• right shape of matrix when empty
• argument not being initialized properly + docs on dataset

Misc

• refactor: kmedoids refactor with image example
• test: changing test due to normalization with mean
• refactor: naming things properly + fix on dataframe printer
• refactor: interfaces ar regression