module ml.competitions

Short summary

module ensae_teaching_cs.ml.competitions

Compute metrics in for a competition

source on GitHub

Functions

function	truncated documentation
AUC	Computes the AUC.
main_codalab_wrapper	Adapts the template available at evaluate.py …
private_codalab_wrapper	Wraps the function following the guidelines User_Building a Scoring Program for a Competition. …

Documentation

Compute metrics in for a competition

source on GitHub

ensae_teaching_cs.ml.competitions.AUC(answers, scores)

Computes the AUC.

Paramètres

• answers – expected answers 0 (false), 1 (true)

• scores – score obtained for class 1

Renvoie

number

source on GitHub

ensae_teaching_cs.ml.competitions.main_codalab_wrapper(fct, metric_name, argv, truth_file='truth.txt', submission_file='answer.txt', output_file='scores.txt')

Adapts the template available at evaluate.py

source on GitHub

ensae_teaching_cs.ml.competitions.private_codalab_wrapper(fct, metric_name, fold1, fold2, f1='answer.txt', f2='answer.txt', output='scores.txt', use_print=False)

Wraps the function following the guidelines User_Building a Scoring Program for a Competition. It replicates the example available at competition-examples/hello_world.

Paramètres

• fct – function to wrap

• metric_name – metric name

• fold1 – folder which contains the data for folder containing the truth

• fold2 – folder which contains the data for folder containing the data

• f1 – filename for the truth

• f2 – filename for the produced answers

• output – produces an output with the expected results

• use_print – display intermediate results

Renvoie

metric

source on GitHub

module ml module ml.gini