feat!: v2 release include split-config API, experimental models, and docs overhaul#400

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mkumar73 merged 251 commits into

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Jun 20, 2026

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Commits on May 25, 2026

feat(configs): add *Config for all architectures
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feat(base_models): replace DefaultXXConfig with XXConfig in all base model constructors
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feat(models): add split config __init__ to all Classifier and Regressor wrappers
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feat(sklearn_parent): implement split-config path in SklearnBase.__init__, get_params, set_params
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fix(lss): use getattr fallback for lr/weight_decay in SklearnBaseLSS.fit()
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feat(config)!: split config into trainer, model and preprocessing config
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test: clean up DefaultMLPConfig alias and remove migration tracking stub from test_config_api.py
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test: module import fixed
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fix: modernca config and model update
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docs: docstring update
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fix: training parameter added
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docs: key concepts, updated for new config setting
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docs: model, trainer and preprocessing config explained
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test: suppress pyright warning for member access
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chore: ignore debug and dev scripts
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refactor(modules)!: remove legacy arch_utils, base_models, data_utils, utils
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feat(nn)!: add nn module with blocks, normalization, and initialization
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feat(architectures)!: add architectures module with all stable model definitions
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feat(architectures)!: add experimental sub-package with ModernNCA, Tangos, Trompt
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feat(core)!: add core module with BaseModel, registry, embeddings, pooling, serialization
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feat(training)!: add training module with lightning module, losses, optimizers, schedulers
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feat(data)!: add data module with MambularDataModule, MambularDataset, batch, schema, split
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feat(distributions)!: add distributions module with 12 distribution classes
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feat(metrics)!: add metrics module stubs for classification, regression, distributional
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feat(hpo)!: add hpo module with get_search_space mapper
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feat(configs)!: add configs sub module with per-model config modules
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feat(configs)!: add configs/experimental sub module for ModernNCA, Tangos, Trompt
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feat(configs)!: add configs/core.py with shared base configuration definitions
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feat(models)!: add split base classes for classifier, regressor, and LSS task variants
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feat(models)!: expose stable classes in __all__ and add __getattr__ shim for experimental
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feat(models)!: add _docstring helper to centralize generate_docstring for all models
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chore: _registry cleanup, not used anymore
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refactor(models)!: update import paths in ndtf, node, resnet, saint, tabm, tabr, tabtransformer, tabularnn
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refactor(models)!: update import paths in experimental ModernNCA, Tangos, Trompt modules
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test(base): update test_base to scan architectures/ and architectures/experimental/
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test(model-exports): import MODEL_REGISTRY from deeptab.core.registry directly
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test(distributions): add test_distributions covering importability, __all__, and parameter counts
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test(hpo): add test_hpo smoke tests for get_search_space return shape and behavior
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feat(root)!: expose configs, data, distributions, metrics, models in top-level __init__
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refactor(configs)!: remove deprecated flat config files superseded by models/ and experimental/
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refactor(configs)!: update __init__ to import from core, models/, and experimental/
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refactor(architectures)!: update config imports to use configs/models/ and configs/experimental/
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refactor(models)!: update config imports to use configs/models/, configs/experimental/, and configs/core
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refactor(architectures)!: update config imports to use configs/models/ and configs/experimental/
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fix(nn)!: suppress pyright reportOptionalCall on RotaryEmbedding optional import
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Commits on May 26, 2026

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Commits on Jun 11, 2026

Commits on Jun 12, 2026

test: update event names and add observability test coverage
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Commits on Jun 13, 2026

Commits on Jun 14, 2026

Commits on Jun 20, 2026