AutoEmulate - v1.1.0

⚠️ Breaking changes ⚠️

• Changed behaviour of Simulator.forward_batch (returns both y and x)
• AutoEmulate no longer takes in model_tuning argument, model tuning is not done if model_params != None, to use default params without tuning use model_params = {}

What's Changed

• Clear nb outputs by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/685
• Update HMW notebook by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/687
• Undo changes after experimental merge by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/689
• Update tutorial title by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/699
• Fix math in docstring by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/703
• Fix install link in README by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/705
• add reaction-diffusion gif by @ContiPaolo in https://github.com/alan-turing-institute/autoemulate/pull/706
• return dict of results from simulator by @marjanfamili in https://github.com/alan-turing-institute/autoemulate/pull/710
• Speed up tests by @EdwinB12 in https://github.com/alan-turing-institute/autoemulate/pull/686
• remove poetry support by @EdwinB12 in https://github.com/alan-turing-institute/autoemulate/pull/700
• Update contributing docs by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/715
• Add emulator info by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/701
• Pre-commit hook to strip nb output by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/713
• Fix nbstripout issue by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/717
• 681 add testing support for different os by @EdwinB12 in https://github.com/alan-turing-institute/autoemulate/pull/702
• Use compare method in dim reduction tutorial by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/714
• Add load_model method and update quickstart by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/729
• Move logo to package, update pyproject.toml by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/731
• Add AutoEmulate class to init to allow import from top level of package. by @EdwinB12 in https://github.com/alan-turing-institute/autoemulate/pull/724
• Add option to save plots to file by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/734
• Fix package data and revert logo path by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/739
• Fix order of sobol indexes when creating df by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/738
• Update install instructions by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/736
• Revise transforms by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/726
• Add support for optional bootstrap by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/742
• Add transformed emulator params by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/744
• Restructure tests by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/747
• Add option to subset models by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/753
• Re-initialise emulator before refitting in HMW by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/752
• Add cloud sampling to HM by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/725
• Add API to support plotting subset of data by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/755
• Move import outside of test function by @EdwinB12 in https://github.com/alan-turing-institute/autoemulate/pull/762
• Add API to support fixing GP mean and kernel hyperparameters during training by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/761
• Add QMC Sobol sampling by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/754
• Fix assertion and class resolution by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/767
• Add experimental dataset, model and notebooks for spatio-temporal problems by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/770
• Update BayesianCalibationto optionally include model variance and discrepancy by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/765
• Add GP subclasses and functionality to generate new subclasses easily by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/764
• Set random seeds in Bayes tutorial for reproducibility by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/768
• should report failed doc builds by @EdwinB12 in https://github.com/alan-turing-institute/autoemulate/pull/766
• Fix simulator setter bug by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/777
• Ruff ignore arguments by @marjanfamili in https://github.com/alan-turing-institute/autoemulate/pull/776
• add random seed into bayesian tutorial by @EdwinB12 in https://github.com/alan-turing-institute/autoemulate/pull/779
• Build docs with autoemulate installed from branch by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/781
• Update Simulator.forward_batch to always return x,y by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/772
• Update calibration tutorial PR suggestions by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/791
• Update calibration tutorial by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/782
• Don't tune if user passes model_params by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/780
• Fix tutorial by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/793
• Refactor Naghavi case study by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/632
• added README to case_studies directory by @ritkaarsingh30 in https://github.com/alan-turing-institute/autoemulate/pull/799
• Add spatiotemporal deps as optional extra by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/792
• Set log level in HM tutorials by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/802
• Update version by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/798

New Contributors

• @ritkaarsingh30 made their first contribution in https://github.com/alan-turing-institute/autoemulate/pull/799

Full Changelog: https://github.com/alan-turing-institute/autoemulate/compare/v1.0.0...v1.1.0

Scientific Software - Peer-reviewed - Python
Published by radka-j 6 months ago

AutoEmulate - v1.0.0

What's Changed

• Add MLP by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/559
• Handle random_seed setting at higher level in package by @edwardchalstrey1 in https://github.com/alan-turing-institute/autoemulate/pull/512
• Docs restructure by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/573
• Refactor: add transforms and transformed emulator by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/474
• Add Polynomials to experimental by @edwardchalstrey1 in https://github.com/alan-turing-institute/autoemulate/pull/568
• Add more emulator subclasses by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/561
• Fix MLP initialization by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/581
• 492 simulator code contribution tutorial by @EdwinB12 in https://github.com/alan-turing-institute/autoemulate/pull/577
• Add Radial Basis functions to experimental & update Tuner run loop by @edwardchalstrey1 in https://github.com/alan-turing-institute/autoemulate/pull/567
• Add EarlyStopping for GPs by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/587
• docs: add Apple-silicon test note (Refs #410) by @nayara-focs in https://github.com/alan-turing-institute/autoemulate/pull/590
• changed the numbering of tutorial 08 to 07 by @marjanfamili in https://github.com/alan-turing-institute/autoemulate/pull/592
• Add ensembles by @cisprague in https://github.com/alan-turing-institute/autoemulate/pull/560
• Add GP with correlated tasks by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/585
• Hmc re refactor by @marjanfamili in https://github.com/alan-turing-institute/autoemulate/pull/599
• Add support for transforms of MultivariateNormal by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/586
• Fix training only first batch by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/604
• Add transforms to compare loop by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/551
• Add learning rate scheduler by @edwardchalstrey1 in https://github.com/alan-turing-institute/autoemulate/pull/582
• Grad handling by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/605
• Refactor HMC calibration by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/575
• 428 improve logging by @EdwinB12 in https://github.com/alan-turing-institute/autoemulate/pull/608
• Set RBF supports_grad=False by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/616
• Evaluate on test data, update compare loop and add Results/plots by @edwardchalstrey1 in https://github.com/alan-turing-institute/autoemulate/pull/603
• Start experimental docs by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/598
• Add bootstrap, fix evaluation and revise results by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/620
• Add logging to Active Learner by @edwardchalstrey1 in https://github.com/alan-turing-institute/autoemulate/pull/624
• Update docstrings by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/626
• Common scheduler setup function for all emulators by @edwardchalstrey1 in https://github.com/alan-turing-institute/autoemulate/pull/623
• Fix missing model config to pass to cv by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/627
• Add logger to BayesianCalibrator by @edwardchalstrey1 in https://github.com/alan-turing-institute/autoemulate/pull/628
• Remove experimental (v1) code reliance on v0 codebase by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/630
• Fix reaction-diffusion example and update GP predictive by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/639
• Revise GP predict approach by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/638
• History Matching tutorials by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/625
• Bayesian calibration tutorial by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/636
• Add str and dict serialization option for emulators and transforms in AutoEmulate class by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/641
• Add saving and loading models to experimental by @edwardchalstrey1 in https://github.com/alan-turing-institute/autoemulate/pull/629
• Add fixes from further testing and benchmarking by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/647
• Experimental sensitivity analysis tutorial by @edwardchalstrey1 in https://github.com/alan-turing-institute/autoemulate/pull/642
• Add handling for failed simulations by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/643
• Add API to update simulator parameters and enable sampling when equal bounds by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/660
• Add standardization for x and y to Emulator by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/650
• Remove obsolete preprocessing by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/666
• Add docs lint config and update docstrings by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/663
• Add script for benchmarking simulators with different parameters by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/621
• Revise config to params by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/667
• Update module structure to add core module by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/670
• Fix pre-commit by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/669
• Update config for experimental and API docs by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/664
• Move modules from experimental, move current to v0 by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/672
• Omit v0/ from coverage by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/673
• Fix docs notebooks by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/674
• Add datasets to package and update path by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/675
• Update default to enable tuning by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/677
• Update version to 1.0.0 by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/678

New Contributors

• @nayara-focs made their first contribution in https://github.com/alan-turing-institute/autoemulate/pull/590

Full Changelog: https://github.com/alan-turing-institute/autoemulate/compare/v0.4.0...v1.0.0

Scientific Software - Peer-reviewed - Python
Published by sgreenbury 7 months ago

AutoEmulate - v0.4.0

Major Changes

• rm CNPs by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/554

Other Changes

• Update quickstart tutorial by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/523
• Update Simulator base class by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/520
• Post-workshop improved tutorial setup instructions by @edwardchalstrey1 in https://github.com/alan-turing-institute/autoemulate/pull/535
• Add target-version to ruff to extend lints by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/541
• Refactor sensitivity analysis by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/539
• Bug fixes by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/556
• Add test for device to history matching by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/562
• HM refactor by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/504
• Add Gradient boosting to experimental by @edwardchalstrey1 in https://github.com/alan-turing-institute/autoemulate/pull/565
• Execute nb when building docs except workflow example by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/569
• Bump version to 0.4 by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/570

Full Changelog: https://github.com/alan-turing-institute/autoemulate/compare/v0.3.3...v0.4.0

Scientific Software - Peer-reviewed - Python
Published by radka-j 8 months ago

AutoEmulate - v0.3.3

What's Changed

• Add epidemic and projectile Simulator by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/516
• Mcmc hmc by @marjanfamili in https://github.com/alan-turing-institute/autoemulate/pull/505
• Update simulators to return arrays of right shape by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/518

Full Changelog: https://github.com/alan-turing-institute/autoemulate/compare/v0.3.2...v0.3.3

Scientific Software - Peer-reviewed - Python
Published by sgreenbury 9 months ago

AutoEmulate - v0.3.2

What's Changed

• Set random seeds for Emulator models by @edwardchalstrey1 in https://github.com/alan-turing-institute/autoemulate/pull/479
• Update dashboard to clear previous plot by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/510
• Small bug fix in HM by @marjanfamili in https://github.com/alan-turing-institute/autoemulate/pull/507

Full Changelog: https://github.com/alan-turing-institute/autoemulate/compare/v0.3.1...v0.3.2

Scientific Software - Peer-reviewed - Python
Published by radka-j 9 months ago

AutoEmulate - v0.3.1

What's Changed

• fix triple plot in dashboard by @marjanfamili in https://github.com/alan-turing-institute/autoemulate/pull/442
• Fix tutorial rendering on docs page by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/443
• Update tutorial by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/445
• Update docs to not execute workflow notebook by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/446
• Revise base emulator and update emulators by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/453
• 400 revise input types by @EdwinB12 in https://github.com/alan-turing-institute/autoemulate/pull/456
• Refactor sklearn models for experimental by @edwardchalstrey1 in https://github.com/alan-turing-institute/autoemulate/pull/415
• Add exploratory notebook for the well active matter dataset by @edwardchalstrey1 in https://github.com/alan-turing-institute/autoemulate/pull/476
• Update HistoryMatching by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/478
• Refactor/422 - consistent Utils for experimental code by @edwardchalstrey1 in https://github.com/alan-turing-institute/autoemulate/pull/464
• Add device handling by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/458
• Add checks for outputs in ValidationMixin by @edwardchalstrey1 in https://github.com/alan-turing-institute/autoemulate/pull/489
• Ensure using get_model with a named model works as expected by @edwardchalstrey1 in https://github.com/alan-turing-institute/autoemulate/pull/496
• Morris Sensitivity Analysis - update workflow by @marjanfamili in https://github.com/alan-turing-institute/autoemulate/pull/493
• Add option to disable progress bar by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/448
• Bump version to 0.3.1 by @edwardchalstrey1 in https://github.com/alan-turing-institute/autoemulate/pull/502

Full Changelog: https://github.com/alan-turing-institute/autoemulate/compare/v0.3.0...v0.3.1

Scientific Software - Peer-reviewed - Python
Published by edwardchalstrey1 9 months ago

AutoEmulate - v0.3.0

New features

• History matching (#294)
• Dimensionality reduction (#390)
• Active learning (experimental) (#358)
• End-to-end workflow example with a user-provided simulator (#423)
• Initial PyTorch refactor (experimental)

What's Changed

• Release/v0.2.1 by @mastoffel in https://github.com/alan-turing-institute/autoemulate/pull/289
• Docs fixes by @mastoffel in https://github.com/alan-turing-institute/autoemulate/pull/290
• Community by @mastoffel in https://github.com/alan-turing-institute/autoemulate/pull/296
• AutoEmulate website by @mastoffel in https://github.com/alan-turing-institute/autoemulate/pull/303
• PyTorch model extractor by @mastoffel in https://github.com/alan-turing-institute/autoemulate/pull/298
• Website by @mastoffel in https://github.com/alan-turing-institute/autoemulate/pull/309
• added history matching and test by @marjanfamili in https://github.com/alan-turing-institute/autoemulate/pull/297
• Use SALib ResultDict.to_df() function to provide results in pandas dataframe format by @willu47 in https://github.com/alan-turing-institute/autoemulate/pull/305
• Show plots by @mastoffel in https://github.com/alan-turing-institute/autoemulate/pull/310
• Sensitivity analysis var name by @marjanfamili in https://github.com/alan-turing-institute/autoemulate/pull/300
• Minor docs update by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/333
• Refactor documentation site to include new logo and link to new website by @edwardchalstrey1 in https://github.com/alan-turing-institute/autoemulate/pull/338
• Cardiac tutorial by @aranas in https://github.com/alan-turing-institute/autoemulate/pull/233
• Update config (#360) by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/365
• 322 base class design by @EdwinB12 in https://github.com/alan-turing-institute/autoemulate/pull/360
• Preprocessing pipeline by @ContiPaolo in https://github.com/alan-turing-institute/autoemulate/pull/363
• Add Tuner by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/380
• Extend InputTypeMixin by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/382
• Add typing by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/383
• Revise tuner and base class by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/387
• Cross validate with torchmetrics by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/392
• Add cross_validate function by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/388
• Make docs only run on pushes and PR to main by @EdwinB12 in https://github.com/alan-turing-institute/autoemulate/pull/395
• Update pyright config by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/389
• Tutorial and getting started updates by @edwardchalstrey1 in https://github.com/alan-turing-institute/autoemulate/pull/396
• Update ruff config by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/391
• 301 add modular active learning by @cisprague in https://github.com/alan-turing-institute/autoemulate/pull/358
• Add Gaussian Process for refactor by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/384
• Several easy docs fixes by @edwardchalstrey1 in https://github.com/alan-turing-institute/autoemulate/pull/401
• abstract base simulator by @marjanfamili in https://github.com/alan-turing-institute/autoemulate/pull/409
• Preprocessing by @marjanfamili in https://github.com/alan-turing-institute/autoemulate/pull/390
• Add refactored LGBM model to experimental emulators by @edwardchalstrey1 in https://github.com/alan-turing-institute/autoemulate/pull/399
• Adding Conditonal Neural Network by @EdwinB12 in https://github.com/alan-turing-institute/autoemulate/pull/398
• Add compare for experimental by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/397
• Fix error raised in sensitivity analysis docs by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/431
• Added stream-based active learning schematic. by @cisprague in https://github.com/alan-turing-institute/autoemulate/pull/433
• Refactor active learning by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/411
• History matching refine model by @marjanfamili in https://github.com/alan-turing-institute/autoemulate/pull/423
• Add workflow tutorial to docs by @radka-j in https://github.com/alan-turing-institute/autoemulate/pull/440
• Update version to 0.3.0 by @sgreenbury in https://github.com/alan-turing-institute/autoemulate/pull/439

New Contributors

• @marjanfamili made their first contribution in https://github.com/alan-turing-institute/autoemulate/pull/297
• @willu47 made their first contribution in https://github.com/alan-turing-institute/autoemulate/pull/305
• @radka-j made their first contribution in https://github.com/alan-turing-institute/autoemulate/pull/333
• @edwardchalstrey1 made their first contribution in https://github.com/alan-turing-institute/autoemulate/pull/338
• @sgreenbury made their first contribution in https://github.com/alan-turing-institute/autoemulate/pull/365
• @EdwinB12 made their first contribution in https://github.com/alan-turing-institute/autoemulate/pull/360
• @ContiPaolo made their first contribution in https://github.com/alan-turing-institute/autoemulate/pull/363
• @cisprague made their first contribution in https://github.com/alan-turing-institute/autoemulate/pull/358

Full Changelog: https://github.com/alan-turing-institute/autoemulate/compare/v0.2.1...v0.3.0

Scientific Software - Peer-reviewed - Python
Published by sgreenbury 10 months ago

AutoEmulate - v0.2.1

• fixed sci-kit learn dependency bug during installation
• fixed warnings in tests

Scientific Software - Peer-reviewed - Python
Published by mastoffel about 1 year ago

AutoEmulate - v0.2.0

see CHANGELOG for details.

Scientific Software - Peer-reviewed - Python
Published by mastoffel over 1 year ago

AutoEmulate - v0.1.0.post1

Pre-release with basic functionality to automatically build emulators from simulation data, including:

• 10 machine learning models commonly used in surrogate modeling, incl. neural nets
• all models are scikit-learn compatible
• cross-validation
• hyperparameter optimisation (random and bayesian)
• parallelisation
• data pre-processing: scaling, dimensionality reduction
• plotting

Scientific Software - Peer-reviewed - Python
Published by mastoffel almost 2 years ago