The performance of some algorithms changes based on the parameters that were used. This section denotes the details of such cases.
Refer to Supported Algorithms to see the full list of algorithms, parameters, and data formats supported in Intel® Extension for Scikit-learn*.
TSNE algorithm consists of two components: KNN and Gradient Descent. The overall accelration of TSNE depends on the acceleration of each of these algorithms.
The KNN part of the algorithm supports all parameters except:
metric!= ‘euclidean’ or ‘minkowski’ with
The Gradient Descent part of the algorithm supports all parameters except:
To get better performance, use parameters supported by both components.