v0.3.1 (March 7, 2024)

Changes and enhancements have been made to the API since version v0.3.0, leading to the introduction of new features and the resolution of various bugs.

• API change From now on, only the selected utilities listed below are available as the public API, which has led to shorter loading times for the package. The available public API functions include:

  • watex.datasets.make_ves() available publicly as watex.make_ves()

  • watex.datasets.fetch_data() available publicly as watex.fetch_data()

  • watex.datasets.make_erp() available publicly as watex.make_erp()

  • watex.utils.bi_selector() available publicly as watex.bi_selector()

  • watex.utils.cleaner() available publicly as watex.cleaner()

  • watex.utils.erpSelector() available publicly as watex.erpSelector()

  • watex.utils.erpSmartDetector() available publicly as watex.erpSmartDetector()

  • watex.utils.fittensor() available publicly as watex.fittensor()

  • watex.utils.get2dtensor() available publicly as watex.get2dtensor()

  • watex.utils.make_naive_pipe() available publicly as watex.make_naive_pipe()

  • watex.utils.magnitude() available publicly as watex.magnitude()

  • watex.utils.naive_imputer() available publicly as watex.naive_imputer()

  • watex.utils.naive_scaler() available publicly as watex.naive_scaler()

  • watex.utils.ohmicArea() available publicly as watex.ohmicArea()

  • watex.utils.plotAnomaly() available publicly as watex.plotAnomaly()

  • watex.utils.plot_confidence_in() available publicly as watex.plot_confidence_in()

  • watex.utils.plotOhmicArea() available publicly as watex.plotOhmicArea()

  • watex.utils.plot_sfi() available publicly as watex.plot_sfi()

  • watex.utils.power() available publicly as watex.power()

  • watex.utils.qc() available publicly as watex.qc()

  • watex.utils.read_data() available publicly as watex.read_data()

  • watex.utils.selectfeatures() available publicly as watex.selectfeatures()

  • watex.utils.sfi() available publicly as watex.sfi()

  • watex.utils.shape() available publicly as watex.shape()

  • watex.utils.smart_label_classifier() available publicly as watex.smart_label_classifier()

  • watex.utils.to_numeric_dtypes() available publicly as watex.to_numeric_dtypes()

  • watex.utils.type_() available publicly as watex.type_()

  • watex.utils.vesSelector() available publicly as watex.vesSelector()

• API change The parameter edi_obj in watex.utils.plot_skew() has been deprecated and replaced by edis_list, which refers to either a collection of EDI files or a full path to EDI files. Two-dimensional skewness, represented as \(eta\), can now be visualized by setting the parameter view='2D'.

• API change The xgboost library is no longer automatically installed as a dependency. Users must install it separately for complete model functionality or use the dev option as shown below:

  pip install watex[dev]
  

• Fix The watex.em.EM module now throws a watex.exceptions.EDIError instead of an AttributeError when an EDI file is expected but an object is passed.

• Fix The base_estimator parameter is no longer available in scikit-learn versions greater than 1.2; it has been renamed to estimator. Consequently, watex.models and watex.models.premodels have been updated to reflect this change.

• Feature The watex.utils.plotutils.plot_l_curve() function has been introduced to plot the Hansen L-curve, with an option to highlight the Hansen point. This feature uses the L-curve criterion to determine the most suitable model after performing multiple inversions with different \(\tau\) values.