Functions

Summary

function class parent truncated documentation
_setup_hook   If this function is added to the module, the help automation and unit tests call it first before anything goes on …
ax_position   matplotlib uses a one dimension array if the number of columns or rows is 1. This function makes a correction. …
bench_pivot   Merges all results for one set of parameters in one row.
check   Checks the library is working. It raises an exception. If you want to disable the logs:
enumerate_options   Enumerates all possible options.
experiment_results   Returns some real results mostly used in the documentation to produce graph to illustrate a function.
filter_df_options   Filters out rows from a dataframe.
get_nb_skl_base_estimators   Returns the number of scikit-learn BaseEstimator including in a pipeline. The function assumes the pipeline …
get_numpy_info   Retrieves information about numpy compilation.
list_col_options    
machine_information   Returns information about the machine.
onnxruntime_perf_binary_classifiers   Returns a list of benchmarks for binary classifier. It compares onnxruntime predictions against scikit-learn. …
options2label   Converts a list of options into a label.
plot_bench_results   Plots benchmark results.
plot_bench_xtime   Plots benchmark acceleration.
plt_colors   Returns matplotlib colors.
plt_styles   Returns matplotlib styles.
random_binary_classification   Returns data for a binary classification problem (linear) with N observations and dim features.
remove_almost_nan_columns   Automatically removes columns with more than 1/3 nan values.
run_onnxruntime_test   Runs a benchmark for onnxruntime.