File octave-forge-stk.changes of Package octave-forge-stk

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File octave-forge-stk.changes of Package octave-forge-stk

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Fri Jan 27 05:53:39 UTC 2023 - Stefan Brüns <stefan.bruens@rwth-aachen.de>

- Update to version 2.8.0:
  * Required Octave version number has been raised to 4.0.1.
  * Test functions:
    + stk_testfun_hartman3.m, stk_testfun_hartman6.m: New test
      functions (“Hartman3” and “Hartman6”) from the Dixon & Szego
      (1978) benchmark.
    + stk_testfun_hartman4.m: New test function (“Hartman4”) based
      on Picheny et al (2013), with a different scaling.
    + Most test functions in examples/test_functions are now also
      available under the CC0 license (see each file).

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Sun Aug 21 22:21:17 UTC 2022 - Atri Bhattacharya <badshah400@gmail.com>

- Update to version 2.7.0:
  * Required Octave version number has been raised to 4.0.0.
  * Prediction:
    - stk_predict.m now officially supports a shorter calling
      syntax: `[zp, ...] = skt_predict (model, x_prd)` that can be
      used either to compute predictions from any type of model
    - @stk_model_gpposterior/stk_predict.m: no longer exists. The
      base stk_predict function now provides the recommended
      interface for all possible types of models, and then
      dispatches to the (new) internal function stk_predict_ to do
      the actual computations.
  * Models: Removed get_input_data, get_output_data,
    get_prior_model.
  * Arrays:
    - stk_dataframe arrays now possess a sample_size property,
      which can be read using the usual dot-indexing notation or
      through the (slightly faster) getter stk_get_sample_size.
    - stk_model_gpposterior objects also have a sample_size
      property, which corresponds to the sample size of the
      underlying data set and can be read similarly.
    - stk_length: deprecated (use stk_get_sample_size instead).
    - @stk_model_gpposterior/stk_{set,get}_optimizable_parameters.m:
      Fix a bug (erroneous property name).
  * Sequential design of experiments: @stk_sampcrit_akg/set.m:
  * Remove replicated input points when the AKG reference grid is
  * construted using Scott's original method (i.e., taking past
  * observations points plus the candidate point).
  * Examples:
    - stk_example_kb07.m: Add a second figure where nu is fixed to
      5/2 and rho varies.
    - stk_example_doe05.m: Make it possible to use the exact KG
      criterion instead of Scott's approximation.
    - stk_example_doe06.m: New example script, which illustrates a
      simple sequential design strategy to estimate an excursion
      set (failure region) and its volume.
  * Miscellaneous:
    - stk_init.m: Make STK startup faster.
    - startup.m: Run stk_init automatically for in-place use.
    - stk_select_optimizer.m, stk_optim_hasfmincon.m: Removed.
    - README.md: Explain how to initialize STK when using the
      Parallel Computing Toolbox in Matlab, by means of the
      pctRunOnAll function.
    - Internal: source formatting, comments, etc.

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Wed Nov 27 12:06:45 UTC 2019 - Stefan Brüns <stefan.bruens@rwth-aachen.de>

- Update to version 2.6.1:
  * Documentation
    + stk_factorialdesign: Provide missing help text. (ticket #91)
    + Fix HTML doc (INDEX structure was broken).
- Update to version 2.6.0:
  * Required Octave version
    + Required Octave version number has been raised to 3.8.
  * Parameter estimation
    + stk_param_init: The syntax with an additional do_estim_lnv parameter
      is now deprecated. Set model.lognoisevariance to NaN if you want an
      initial estimate for the variance of the noise.
    + stk_param_init_lnv: Refuse noiseless models (error).
    + stk_model_gpposterior: Trigger parameter estimation when lognoisevariance
      is NaN. In the (experimental) case where lognoisevariance is a noise
      model object, parameter estimation is triggered as soon as at least one
      of the optimizable parameters of the model is NaN. (ticket #93)
    + stk_param_relik: Return [] instead of NaN when the derivative with
      respect to lnv is requested for a noiseless model.
    + stk_param_relik: Detect duplicated observation points automatically
      and raise an error for noiseless models.
    + stk_param_getdefaultbounds: Estimation bounds for the regularity parameter
      of the Matérn covariance function are now customizable through the options
      nu_min_dimfun and nu_max_dimfun.
  * Covariance functions
    + Deprecated: stk_noisecov.
  * Models
    + stk_get_input_data, stk_get_output_data, stk_get_prior_model: New getters
      for model properties, that replace get_input_data, get_output_data and
      get_prior_model respectively (now deprecated).
    + stk_get_observation_variances: New getter, which returns the vector of
      variances associated to the observations that have been used to build a model.
    + stk_gaussiannoise_, stk_gaussiannoise_het0: New classes representing Gaussian
      noise models. Currently in experimental state, these two classes are merely a
      proof-of-concept. Other noise model classes can be defined by subclassing
      stk_gaussiannoise_. (ticket #38)
    + stk_example_misc05: Demonstrate the use of noise model objects to estimate
      the dispersion parameter in an heteroscedatic case.
    + stk_simulate_noise: New function to simulate noise sample replicates.
  * stk_dataframe and related classes
    + stk_dataframe: Accept char vectors (or strings) as colnames or rownames
      argument when there is only one column or one row (ticket #92)
    + @stk_dataframe/sort: Argument dim can now be skipped, as in the base sort function.
    + @stk_dataframe/unique: Overload base function.
  * Graphics
    + stk_plot1d: Do not create a legend systematically. (ticket #82)
    + stk_legend: New function to create a legend, using the graphical objects for
      which a non-empty DisplayName has been provided.
    + stk_plot_shadedci: Change gray levels and improve legend.
  * Miscellaneous
    + stk_options_set: Make it possible to set all options at once using an option
      structure. Add help text.
    + stk_runtests: Return test results in a structure.
    + stk_sampling_nesteddesign: Fix help text.

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Wed Jul 18 08:48:23 UTC 2018 - badshah400@gmail.com

- Update to version 2.5.1:
  * tk_dominatedhv: Workaround for Octave 4.4 issue (ticket #89)
  * Documentation fixes.
  * stk_option_set: Return option struct only if nargout > 0.

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Wed Sep 27 13:17:47 UTC 2017 - badshah400@gmail.com

- Update to version 2.5.0
  * Required Octave version number has been raised to 3.6.0.
  * Sequential design of experiments:
    - `stk_sampcrit_akg_eval`: New function.  Computes the
      Approximate Knowledge Gradient (AKG) sampling criterion.
    - `stk_example_doe05`: Example script that demonstrates the
      use of the AKG and EQI sampling criteria for noisy
      optimization.
    - New (experimental) classes to represent sampling criterion
      objects: `stk_sampcrit_ei`, `stk_sampcrit_akg`,
      `stk_sampcrit_eqi`.
    - `stk_sampcrit_ei_eval`: Remove deprecated calling forms.
  * Design of experiments:
    - `stk_factorialdesign`: Accept one-variable `stk_dataframe`
      objects as factors and preserve column names in this case.
    - `stk_sampling_nesteddesign`: New function to create nested
      designs.
    - `stk_sampling_nestedlhs`: New function to create nested LHS
      (NLHS).
    - `stk_sampling_sobol`: Fix help text.
  * Validation of models:
    - `stk_distrib_normal_crps`: New function to compare
      observations and predictive (Gaussian) density.
    - Calling `stk_predict_leaveoneout` with no output arguments
      now automatically creates two cross-validation diagnostics
      in two subplots: prediction VS observations (left panel) and
      normalized residuals (right panel).
    - `stk_predict_leaveoneout` uses now the virtual LOO formula.
  * `stk_dataframe` and related classes
    - `stk_hrect`: Preserve column names for `stk_dataframe`
      inputs.
    - `@stk_dataframe/find`: Overload base function to support
      calling find with an stk_dataframe as first input argument.
    - `@stk_dataframe/plotmatrix`: Overload base function to
      enrich `plotmatrix` graphics with variable names when
      possible.
  * Logical functions:
    - Operations that normally return logical (`lt`, `eq`,
      `and`...) now return logical values for `stk_dataframe`
      arguments.
    - New overloaded functions for `stk_dataframe` objects:
      `isinf`, `isnan`, `isfinite`.
  * Testing array membership:
    - `@stk_dataframe/ismember`: No longer assumes `rows` flag for
      consistency with the base `ismember` function.
    - `stk_factorialdesign/ismember`: New function.  Tests
      membership for factorial designs much more efficiently than
      for plain arrays or data frames.
  * `stk_generate_samplepaths` now returns a plain numerical array instead of
    a data frame.
  * Miscellaneous:
    - `stk_plot_probdom2d`: New function to represent the
      uncertainty about a 2D Pareto front.  This function is
      currently considered experimental and should not be expected
      to produce a reliable representation of the uncertainty for
      difficult or high-dimensional optimization problems.
    - New test case: "truss3" (Koski, 1985; Das, 1997).
    - Many functions have been optimized for speed.
    - `stk_plot1d`: Handle the case where `xt` is not sorted.
    - Support old-style STK structures (with a `.a` field) has
      been removed.

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Wed Nov 11 15:20:54 UTC 2015 - dmitry_r@opensuse.org

- Update to version 2.3.4
  * Bug fixes and minor changes

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Tue Oct 13 06:08:14 UTC 2015 - dmitry_r@opensuse.org

- Update to version 2.3.3
  * Bug fixes and minor changes

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Tue Jul  7 17:09:17 UTC 2015 - dmitry_r@opensuse.org

- Update to version 2.3.2
  * Bug fixes and minor changes

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Mon Jun 22 19:41:57 UTC 2015 - dmitry_r@opensuse.org

- Update to version 2.3.1
  * Bugfix release

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Mon May 18 19:44:24 UTC 2015 - dmitry_r@opensuse.org

- Update to version 2.3.0

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Thu Apr 16 21:50:44 UTC 2015 - dmitry_r@opensuse.org

- Update to version 2.2.1
  * Octave 4.0 compatibility

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Thu Feb 26 16:06:43 UTC 2015 - dmitry_r@opensuse.org

- Split from octave-forge package, version 2.2.0

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