d95f1cea505a062c4896d36276aba1f31f50c446,benchmarks/k_means_kdd.py,,fit,#Any#Any#,107

Before Change


            oversampling_factor=oversampling_factor,
            random_state=0,
        )
    t0 = tic()
    logger.info(
        "Starting n_clusters=%2d, oversampling_factor=%2d",
        n_clusters,
        oversampling_factor,
    )
    km.fit(data)
    t1 = tic()
    logger.info("Finished in %.2f", t1 - t0)


def main(args=None):
    args = parse_args(args)

After Change


        n_clusters,
        oversampling_factor,
    )
    with _timer("km.fit", _logger=logger):
        km.fit(data)


def main(args=None):
    args = parse_args(args)
    logger.info("Checking local data")
    local = split(download())
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 8

Instances


Project Name: dask/dask-ml
Commit Name: d95f1cea505a062c4896d36276aba1f31f50c446
Time: 2018-07-25
Author: gglanzani@users.noreply.github.com
File Name: benchmarks/k_means_kdd.py
Class Name:
Method Name: fit


Project Name: dask/dask-ml
Commit Name: d95f1cea505a062c4896d36276aba1f31f50c446
Time: 2018-07-25
Author: gglanzani@users.noreply.github.com
File Name: dask_ml/wrappers.py
Class Name: ParallelPostFit
Method Name: fit


Project Name: dask/dask-ml
Commit Name: d95f1cea505a062c4896d36276aba1f31f50c446
Time: 2018-07-25
Author: gglanzani@users.noreply.github.com
File Name: dask_ml/cluster/k_means.py
Class Name:
Method Name: init_scalable