We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
There was an error while loading. Please reload this page.
1 parent 11e33fc commit 693a4e2Copy full SHA for 693a4e2
README.rst
@@ -87,6 +87,18 @@ Distributed usage for 1-dimensional time series data with Dask Distributed via `
87
88
matrix_profile = stumpy.stumped(dask_client, your_time_series, m=window_size)
89
90
+GPU support for 1-dimensional time series data with Dask Distributed via `GPU-STUMP`:
91
+
92
+.. code:: python
93
94
+ import stumpy
95
+ import numpy as np
96
97
+ your_time_series = np.random.rand(10000)
98
+ window_size = 50 # Approximately, how many data points might be found in a pattern
99
100
+ matrix_profile = stumpy.gpu_stump(your_time_series, m=window_size)
101
102
Multi-dimensional time series data with `MSTUMP`:
103
104
.. code:: python
0 commit comments