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This PR contains the following updates:

Package	Change	Age	Confidence
rubix/ml (source)	2.6.0 → 3.2.2

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Release Notes

RubixML/ML (rubix/ml)

v3.2.2

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• Remove ARFF deprecation warnings on PHP 8.5+

v3.2.1

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• Fix Ball and Vantage tree range() query boundary
• Fix Leave P Out rounding error
• Fix Column Picker exception message column index

v3.2.0

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• Added Bayesian Search meta-estimator
• Added Power Transformer
• Added Word Stemmer tokenizer with Porter English stemmer

v3.1.0

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• Added K-medoids clusterer
• Added ARFF and Shuffler extractors
• Added Ramp and Cosine learning rate Schedulers
• Added Color Jitter and Image Flipper transformers

v3.0.0

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• Integers are now considered a categorical data type
• Updated to Tensor API version 4.1
• 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 distributes excess samples over all folds
• 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
• Can now disable windowed early-stopping completely with window = 0
• TSNE now has KL Divergence loss evaluation and early stopping
• Added binnedSplit(), binnedFold(), and stratifyByLabelBins()
• stratifiedSplit() and stratifiedFold() now throw on continuous labels
• Validators and regressors now stratify continuous labels by bin
• Image Rotator offset is now optional and default jitter is 0.2
• Added fillColor parameter to Image Rotator
• Remove holdOut paramereter from Learners with validation set
• Added setValidationDataset() method to Learners with validation set
• Pipeline is now a Transformer decorator
• Added PersistentTransformer decorator
• Removed Trainable interface, API transferred to Learner interface
• GridSearch now has a setup() hook before each iteration
• GELU now uses exact formula instead of the tanh approximation
• Fix TruncatedSVD lossiness value

v2.6.1

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• SVD, PCA, LDA, throw exception on incompatible Tensor extension version.

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File name: composer.lock

Loading composer repositories with package information
Updating dependencies
Your requirements could not be resolved to an installable set of packages.

  Problem 1
    - Root composer.json requires rubix/ml 3.2.2 -> satisfiable by rubix/ml[3.2.2].
    - rubix/ml 3.2.2 requires php >=8.3 -> your php version (8.2; overridden via config.platform, same as actual) does not satisfy that requirement.

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