Computational Performance¶
⚠️ This page is a work in progress.
This page contains some example computational performance statistics for TemporAI tasks. It will be expanded we test more models, datasets, and hardware.
Measurement details¶
TemporAI version:
0.0.3Last tested:
Nov 2023Hardware:
CPU:
10-core Intel Core i9-10900KRAM:
64 GBGPU:
NVIDIA GeForce RTX 3090
GPU used whenever supported by a model.
Table of results¶
Method |
Dataset |
Action(s) |
Execution Time (seconds) |
|---|---|---|---|
Preprocessing : Imputation : ts_tabular_imputer (imputer=mice) |
sine (n=300) |
Fit and transform |
5.16 |
Preprocessing : Imputation : ts_tabular_imputer (imputer=mean) |
sine (n=300) |
Fit and transform |
0.57 |
Survival Analysis : dynamic_deephit (n_iter=100) |
PBC (n=312) |
Fit and predict |
3.56 |
Treatment Effects : Temporal : crn_regressor (epochs=100) |
Dummy dataset (n=300) |
Fit |
327.57 |
Prediction : One-off : nn_classifier (mode=“transformer”, n_iter=100) |
Dummy dataset (n=300) |
Fit and predict |
0.81 |
More cases to be added…