3.0.0-rc3

• Integers are now considered a categorical data type
• K Nearest Neighbors and KNN Regressor inference is now parallelized
• Isolation Forest training and inference is now parallelized
• Added disk-based streaming neural network snapshotting
• Added validation interval parameter to MLPs and GBM Learners
• Cross Entropy loss function now split into Binary and Multiclass
• Logistic Regression, Softmax, and Adaline now use hold out set
• Adaboost now uses validation set with early stopping window
• Renamed TF-IDF dampening parameter to sublinear
• Exportable Extractors now append by default with option to overwrite
• RBX Serializer tracks major library version number, not minor
• Added Class/Cluster Purity clustering metrics
• V-measure, Completeness, and Homogeneity now use entropy-based formula
• Fixed KDTree edge pruning + optimize traversal
• Ball and Vantage Trees now require Subadditive kernels
• K-d Trees now require Monotonic distance kernels
• Optimize Dataset sort(), sorting is now unstable
• Added per-class smoothing to Gaussian Naive Bayes
• Added per-cluster smoothing to Gaussian Mixture
• You can now exclude certain categories from one-hot encoding
• Fixed SVC save/load using class map sidecar
• Parallel Backends now default to max physical cores not logical
• Added workers() method to the Backend interface
• No longer save/load Backend state, transient per environment
• Added Float Type Converter numeric string and ints to float
• Boolean Converter now converts truthy and falsy
• Interval Discretizer now encodes values as integers
• Polynomial Expander now limited to 10'th degree
• Updated to PSR-3 Log version 3
• Update Amp Backend to Amp version 2.0
• Removed Word Stemmer tokenizer
• Removed window early stopping from TSNE
• Removed output layer L2 Penalty parameter from MLP Learners
• RBX serializer now emits warning on class revision mismatch
• Class revision hash now compensates for circular references
• Filesystem Persister now does atomic writes
• Added cleanup() method to remove neural network residual state
• Murmur3 new default Token Hashing Vectorizer hash function
• Dataset fold() now returns excess samples in last fold
• Increase default Decision Tree max leaf node size from 3 to 5
• Canonicalized He initializer
• Xavier 2 now extends He as a deprecated alias
• Remove Softmax activation function
• Fix Multiclass layer gradient for non-Cross Entropy losses
• Optimizers now take a Scheduler rather than a raw learning rate
• MLP Learners now have gradient accumulation and clipping
• MLP Learners can now freeze first k layers for fine-tuning
• PlusPlus and KMC2 Seeders always return unique seeds
• KMeans and Fuzzy C Means now restrict non-Euclidean kernels
• NDJSON exporter now preserves zero decimal numbers as floats
• Add Dataset chunked() factory for online training
• Added L1 penalty to Dense layers
• Adaline, Logistic Regression, Softmax Classifier now elastic net
• Added Iterative interface with progress() method
• Iterative Learners renamed steps() method to progress()
• Changed default gradient-based minChange from 1e-4 to 1e-5
• Prior is now default Strategy of Missing Data Imputer
• DBSCAN is now a Learner, Probabilistic and Persistable
• Grid Search now has a fromNamedParams() factory method
• Grid Search now generates a results() table