datto.ModelResults

class datto.ModelResults

Evaluate model performance & explore output

__init__()

Methods

__init__()
coefficients_graph(X_train, X_test, model, ...)	Displays graph of feature importances.
coefficients_individual_predictions(model, ...)	Uses LIME to inspect an individual prediction and the features that influenced that prediction.
coefficients_summary(X, y, num_repetitions, ...)	Prints average coefficient values using a regression model.
get_tree_diagram(model, X_train[, path])	Save a diagram of a trained DecisionTree model
most_common_words_by_group(X, text_col_name, ...)	Get the most commons phrases for defined groups.
most_similar_texts(X, text_column_name[, ...])	Uses NMF clustering to create n topics based on adjusted word frequencies
score_final_model(model_type, X_test, ...[, ...])	Score your model on the test dataset.