Custom Widgets Library

Installation

Install by running pip install servianwidgets

Import the library with import servianwidgets

Functions

feature_selector_scatter(dataframe_list)

parameters: dataframe_list - A list of pandas dataframes. This function still works with a single dataframe, however, in that case, the lone dataframe must be the sole item in a list. Note: each dataframes in this list must have a name

feature_selector currently creates a widget for dataframe selection, a widget for target selection, and two widgets for feature selections based on the chosen dataframe. The selected dataframe features are then plotted against each other on a scatter plot, coloured by their class.

classification_selector(dataframe_list)

parameters: dataframe_list - A list of pandas dataframes. This function still works with a single dataframe, however, in that case, the lone dataframe must be the sole item in a list. Note: each dataframes in this list must have a name

classification_selector currently creates a widget for dataframe selection, a widget for target selection, and a widget for classifier selection. A model using the specified classifier is then trained and reported on in a table. "Compare All" can also be selected in order to compare all available classifiers.

regression_selector(dataframe_list) - Work-In-Progress

regression_selector is currently unavailable