module datasets.real_data

Short summary

module pymlbenchmark.datasets.real_data

Artificial datasets.

source on GitHub

Functions

function	truncated documentation
experiment_results	Returns some real results mostly used in the documentation to produce graph to illustrate a function.

Documentation

Artificial datasets.

source on GitHub

pymlbenchmark.datasets.real_data.experiment_results(name)

Returns some real results mostly used in the documentation to produce graph to illustrate a function.

Parameters:

name – name of the dataset

Returns:

dataframe

List of available datasets:

Example of use:

<<<

from pymlbenchmark.datasets import experiment_results
print(experiment_results('onnxruntime_LogisticRegression').head())

>>>

        N  count  dim  fit_intercept  ...       min      min3  repeat     upper
    0   1    100    1           True  ...  0.000038  0.000039     100  0.000155
    1   1    100    1           True  ...  0.000022  0.000022     100  0.000058
    2   1    100    1           True  ...  0.000046  0.000046     100  0.000074
    3   1    100    1           True  ...  0.000023  0.000024     100  0.000037
    4  10    100    1           True  ...  0.000038  0.000039     100  0.000066
    
    [5 rows x 15 columns]

source on GitHub