0.0.11-beta
Pre-release
Pre-release
·
1552 commits
to master
since this release
- K Means now uses mini batch GD instead of SGD
- K Means in now an Online learner
- Added Adjusted Rand Index clustering metric
- Added Seeder Interface
- Added Random, K-MC2, and Plus Plus seeders
- Accelerated Mean Shift with Ball Tree
- Added radius estimation to Mean Shift
- K Means and Mean Shift now implement Probabilistic
- Gaussian Mixture now supports seeders
- Changed order of K Means hyperparameters
- Moved Ranking interface to anomaly detector namespace
- N-gram Tokenizer now outputs ranges of word tokens
- Changed default Fuzzy C Means hyper-parameters
- Added spatial partitioning to Dataset API
- Added Image Resizer transformer
- Image Vectorizer no longer resizes images
- Fixed adaptive optimizer bug upon binary unserialization
- Removed Quartile Standardizer
- Optimized Image Vectorizer using bitwise operations
- Pipeline is now more verbose