[Feature] Parallel Coordinates plot

Is your feature request related to a problem? Please describe. NA

Describe the solution you’d like Implement in the sklearn_genetic.plots module a function named plot_parallel_coordinates to inspect the results of the learning process

Describe alternatives you’ve considered The function should take two arguments:

• estimator: A fitted estimator from sklearn_genetic.GASearchCV
• features: list, default=None. Subset of features to plot, if None it plots all the features by default

The function should return an object to plot parallel coordinates according the pandas.plotting.parallel_coordinates function

The data to plot is available on the estimator.logbook object, look the implementation of the plot_search_space function to see how to convert this data to a pandas data frame

The function must select only the non categorical variables, this can be done by inspecting the estimator.space object and comparing against the data types defined in sklearn_genetic.space, i.e Categorical, Continuous and Integer and color against the “score” column. In the same way, it must validate and make a warning if in the features parameter a Categorial one is passed

Additional context Links of some implementations:

• https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.plotting.parallel_coordinates.html
• https://www.mathworks.com/help/stats/feature-selection-and-feature-transformation.html#buwh6hc-1

[rodrigo-arenas]

Ey, don’t worry about it. Matplotlib can be a good fit, so we don’t add extra dependencies with Plotly Thanks!

[Raul9595]

Ok sounds good. Will work on it