Wrapper function to generate t-SNE parameters
params_tsne.RdWrapper function to generate t-SNE parameters
Usage
params_tsne(
lr = 200,
n_epochs = 1000L,
early_exag_iter = 250L,
early_exag_factor = 12,
theta = 0.5,
n_interp_points = 3L,
init = "pca",
randomised = TRUE
)Arguments
- lr
Numeric. Learning rate. Defaults to
200.0.- n_epochs
Integer. Number of optimisation epochs. Defaults to
1000L.- early_exag_iter
Integer. Number of early exaggeration iterations. Defaults to
250L.- early_exag_factor
Numeric. Early exaggeration factor. Defaults to
12.0.- theta
Numeric. Barnes-Hut approximation angle. Lower values increase accuracy at the cost of speed. Defaults to
0.5.- n_interp_points
Integer. Number of interpolation points per grid cell for FFT acceleration. Defaults to
3L.- init
Character. Embedding initialisation method. One of
"spectral","pca", or"random". Defaults to"pca".- randomised
Logical. Use randomised SVD for PCA initialisation. Defaults to
TRUE.