PyTemporal

small_dataset

High-Performance Bitemporal Processing Benchmarks

PDF of Slope Regression

Additional Statistics:

Lower bound Estimate Upper bound
Slope 81.298 µs 81.343 µs 81.391 µs
0.9992023 0.9992460 0.9991981
Mean 81.262 µs 81.369 µs 81.537 µs
Std. Dev. 192.36 ns 753.38 ns 1.2556 µs
Median 81.231 µs 81.278 µs 81.328 µs
MAD 132.53 ns 180.22 ns 242.66 ns

Additional Plots:

Understanding this report:

The plot on the left displays the average time per iteration for this benchmark. The shaded region shows the estimated probability of an iteration taking a certain amount of time, while the line shows the mean. Click on the plot for a larger view showing the outliers.

The plot on the right shows the linear regression calculated from the measurements. Each point represents a sample, though here it shows the total time for the sample rather than time per iteration. The line is the line of best fit for these measurements.

See the documentation for more details on the additional statistics.