Changelog¶
List of changes in-between nanite releases.
version 2.0.1¶
enh: implement ‘require_steps’ in preprocessing to make sure that steps are executed in the correct order
enh: add several helper functions for preprocessing
version 2.0.0¶
BREAKING CHANGE: segment in FitProperties is now an integer
setup: bump afmformats from 0.15.0 to 0.16.0
docs: update doc strings for the “sneddon_spher_approx” model
docs: remove duplcate docs for model functions
version 1.7.8¶
ref: introduce preprocessing_step decorator for managing preprocessing steps
ref: explicitly request “force-distance” data from afmformats (can be lifted by
setting nanite.read.DEFAULT_MODALITY
toNone
)setup: bump afmformats from 0.14.3 to 0.15.0 (initial support for loading creep-compliance data)
version 1.7.7¶
docs: fix build
version 1.7.6¶
setup: bump afmformats from 0.14.1 to 0.14.3 (adjust tests, speed)
version 1.7.5¶
ref: migrate QMap and Group code to afmformats 0.14.1
ref: Indentation is now a subclass for afmformats.AFMForceDistance
ref: QMap is now a subclass for afmformats.AFMQMap
ref: Group is now a subclass for afmformats.AFMGroup
version 1.7.4¶
enh: allow passing metadata to the IndentationGroup initializer
setup: bump afmformats from 0.10.2 to 0.13.2
ref: deprecate get_data_paths in favor of afmformats.find_data
version 1.7.3¶
build: move windows pipeline to GH Actions
ref: better warning traceback for deprecated weight_cp method
ref: DeprecationWarning: np.int from numpy 1.20
version 1.7.2¶
build: use oldest-supported-numpy in pyproject.toml
version 1.7.1¶
build: migrate to GitHub Actions
version 1.7.0¶
enh: simplified writing new model functions by introducing default modeling and residual wrappers
ref: improve code readability
version 1.6.3¶
tests: fix fails due to tifffile upgrade
setup: lift historic pinning of lmfit==0.9.5
version 1.6.1¶
enh: if the contact point estimate is not possible, use a fit with a partially constant and linear function
version 1.6.0¶
enh: improve contact point estimation by computing the gradient first; resolves issues with tilted baselines (#6) (This may affect fitting results slightly, hence the new minor release)
version 1.5.5¶
setup: make tkinter optional for frozen applications
version 1.5.4¶
setup: bump scikit-learn from 0.18.0 to 0.23.0 (different model results due to bugfixes, enhancements, or random sampling procedures; the tests have been updated accordingly)
setup: bump afmformats from 0.10.0 to 0.10.2
version 1.5.3¶
setup: new builds for Python 3.8
version 1.5.2¶
enh: be more verbose when tip position cannot be computed
setup: bump afmformats from 0.7.0 to 0.10.0
version 1.5.1¶
setup: bump afmformats from 0.6.0 to 0.7.0 (metadata fixes)
version 1.5.0¶
feat: IndentationGroup.get_enum returns a curve from an enum value
setup: bump afmformats from 0.5.0 to 0.6.0 (hdf5 export, improved tab export)
version 1.4.1¶
enh: set parameter baseline to “vary” for all models
fix: make sure that model_key is set before params_initial when fitting with kwargs (otherwise, params_initial might reset)
version 1.4.0¶
feat: add function Indentation.get_rating_parameters
feat: compute additional ancillary parameter “Maximum indentation”
feat: new functions model.get_parm_unit and updated model.get_parm_name to work with ancillary parameters as well
version 1.3.0¶
feat: allow to define ancillary parameters for models and use them during fitting by default
feat: Indentation.get_initial_fit_parameters now automatically computes common and model-related ancillary parameters if no initial parameters are present
enh: allow to set the model_key in more functions of Indentation
ref: use idnt to represent Indentation instances
fix: preprocessing steps not stored in Indentation.preprocessing
setup: bump afmformats from 0.4.1 to 0.5.0
version 1.2.4¶
enh: update boundaries and default values for model parameters
version 1.2.3¶
fix: FitProperties did not detect changes in “params_initial”
version 1.2.2¶
setup: bump afmformats version from 0.3.0 to 0.4.1
version 1.2.1¶
enh: skip computation of tip position if it is already in the dataset and cannot be computed e.g. due to missing spring constant
fix: typo in get_data_paths_enum
setup: bump afmformats version from 0.2.0 to 0.3.0
version 1.2.0¶
tests: np.asscalar is deprecated
ref: migrate to afmformats (#1)
docs: minor improvements
version 1.1.2¶
fix: add
__version__
propertytests: use time.perf_counter for timing tests
docs: improved LaTeX rendering
version 1.1.1¶
setup: migrate to PEP 517 (pyproject.toml)
docs: minor update
version 1.1.0¶
feat: add contact point to available features in qmap visualization
fix: avoid two invalid operations when computing features
version 1.0.1¶
fix: invalid operation when loading data with a callback function
version 1.0.0¶
docs: minor update
version 0.9.3¶
enh: store nanite and h5py library versions in rating container
enh: update hyperparameters of rating regressors
ref: deprecation in h5py: replace dataset.value by dataset[…]
version 0.9.2¶
ref: renamed the mode model_hertz_parabolic to model_hertz_paraboloidal to be consistent
docs: updat code reference and other minor improvements
version 0.9.1¶
fix: preprocessing keyword not working in Indentation.fit_model
docs: add another scripting example and minor improvements
tests: increase coverage
version 0.9.0¶
ref: remove legacy “discrete” feature type
ref: renamed kwargs for Indetation.rate_quality
ref: new method nanite.load_group for loading experimental data
ref: new class read.data.IndentationData for managing data
ref: replace dataset.IndentationDataSet with group.IndentationGroup to avoid ambiguities
fix: add missing “zef18” training set
fix: sample weight computation failed when a rating level was missing
enh: add nanite-generate-training-set command line program
tests: reduce warnings and increase coverage
cleanup: old docs in nanite.rate.io
docs: major update using helper extensions
version 0.8.0¶
initial release