v0.1.4 (October 7, 2022)

This is a minor release with a change in objective and bug fixes for issues identified since v0.1.3. This version is the first uploaded using the PyData-sphinx-Theme. The new documentation is built after fixing many minor bugs and improving the docstring documentation.

New features

• Major change Upload the SEG- EDI datasets. Henceforth, a sample of EDI data can be called for demonstration rather than using the data in data/ directory. Retrieving a sample of EDI is possible through the function watex.datasets.load_edis().

• Feature Upload the possibility to generate the synthetic ERP and VES data thanks to watex.make_erp() and watex.make_ves() respectively.

• Enhancement Revised the EM module by implementing the watex.methods.em.Processing.skew() methods for computing the geological structures dimensionality. This function is useful to determine which type of inversion to use for modeling NSAMT data.

• Enhancement Generated Hydrogeology module watex.methods.hydro from hydrogeological parameters computation from the watex.utils.hydroutils utility

• Major change Many other utilities have been added in watex.utils.funcutils and watex.utils.plotutils for computation.

• Enhancement Document all the watex.exceptions module and reformat the WATex API documentation

• Feature Add a profiling report in the gallery examples. See sphx_glr_glr_examples_base_plot_profiling_report.py.

• Major change Replace the shorthand of fa with factor in the new version of factor analysis watex.analysis.factor.

Bug fixes

• Fix Fix the typos in README.txt by changing the Analysis by Analyses since many analyses are performed with many scripts in the watex.analysis module.

• Fix Fix the bug in watex.view.biPlot(). Rename the xlabel and ylabel.

• Fix Fixed bug in watex.show_versions() to output the hard dependencies and update the public API in watex.__init__.

• Fix Fixed bug in ERP and VES table for formatting the ERP and VES data sets documentation.

• Fix Fix the bug in watex.analysis.decomposition.linear_discriminant_analysis() mathematical formula in the docstrings. Henceforth the function linear_discriminant_analysis() returns weight factor of X transformed as :

  >>> def linear_discriminant_analysis(X,y, ...):
          ...
          return X.dot(W) if return_X else W
  

• Fix Fixed bug in watex.base.Data.profilingReport(). Exception henceforth occurs if the optional dependency pandas-profiling is not installed yet for report generation.

• Deprecated Delete the module hua from datasets and replace by watex.datasets.sets for fast loading the inner datasets.

• Major change Move tensor exceptions ZError to the exceptions module watex.exceptions and revised the EM exceptions errors in the whole watex.externals module.

• Fix Many other bugs were fixed in watex.utils.plotutils after several tests.