v0.1.0 (September 12, 2021)

This is the sketch/beginning of the project that implemented the case-history in Bagoue-region. At this time of project, it wasn’t expect to be a library. It was just a toolbox for solving a specific task as a lever/pilot initiative to test the capability of using the machine learning with the available data to solve the water scarcity problem occured in Bagoue region.

Features

• Feature Upload the first commit of the project that implemented the scripts to handle the case history problem.

• Feature Developed watex.cases.BaseSteps for processing the data at once. Additionally, the default organization and scaling with different figure sizes has been improved.

• Feature Added the feature_transformation option to watex.transformers to automate the data transformation using watex.transformers.StratifiedWithCategoryAdder.

• Feature Added the ability to seed the random number generator for the bootstrap used to define error bars in several plots especially in MetricPlot which was renamed to watex.view.EvalPlot in the v0.1.3 release and watex.view.QuickPlot.

• Feature Improved support for grouping observations based on pandas index information in categorical features plots. Should be auto-discarded using the powerfull function watex.utils.to_numeric_dtypes(). The later automates the data types conversion and outputs either the numerical, categorical features or both.

• Enhancement Test the flow-rate prediction using the support vector machines algorithmns from the defined DC-features.