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.