dabl API

This is a list of all functions and classes provided by dabl.

High-level API

clean(X[, type_hints, return_types, ...])	Public clean interface
detect_types(X[, type_hints, ...])	Detect types of dataframe columns.
explain(estimator[, X_val, y_val, ...])	Explain estimator.
plot(X[, y, target_col, type_hints, ...])	Automatic plots for classification and regression.
set_config([truncate_labels])	Set global dabl configuration.
get_config()	Retrieve global configuration values set by set_config.

AnyClassifier([n_jobs, min_resources, ...])	Classifier with automatic model selection.
EasyPreprocessor([scale, force_imputation, ...])	A simple preprocessor.
SimpleClassifier([refit, random_state, ...])	Automagic anytime classifier.
SimpleRegressor([refit, random_state, ...])	Automagic anytime regressor.

Full API

Datasets

load_adult()	Load adult census dataset.
load_ames()	Load ames housing dataset.
load_titanic()	Load titanic dataset.

Plotting

class_hists(data, column, target[, bins, ...])	Grouped univariate histograms.
discrete_scatter(x, y, c[, unique_c, ...])	Scatter plot for categories.
find_pretty_grid(n_plots[, max_cols])	Determine a good grid shape for subplots.
mosaic_plot(data, rows, cols[, ...])	Create a mosaic plot from a dataframe.
plot_classification_categorical(X, *, target_col)	Plots for categorical features in classification.
plot_classification_continuous(X, *, target_col)	Plots for continuous features in classification.
plot_coefficients(coefficients, feature_names)	Visualize coefficients of a linear model.
plot_regression_categorical(X, *, target_col)	Plots for categorical features in regression.
plot_regression_continuous(X, *, target_col)	Plots for continuous features in regression.

Portfolios

Built-in lists of classifiers and regressors to search.

get_any_classifiers([portfolio])	Return a portfolio of classifiers.
get_fast_classifiers(n_classes)	Get a list of very fast classifiers.
get_fast_regressors()	Get a list of very fast regressors.