tSNEConfig
Variantt-Distributed Stochastic Neighbor Embedding. See setup_tSNE.
Properties
kintegerdefault2≥ 1Number of components to extract.
initial_dimsintegerdefault50≥ 1Initial dimensions.
perplexitynumberdefault30≥ 0Perplexity.
thetanumberdefault0.5≥ 0≤ 1Speed/accuracy trade-off.
check_duplicatesbooleandefaulttrueCheck for duplicates.
pcabooleandefaulttruePerform an initial PCA step.
partial_pcabooleandefaultfalseUse truncated PCA (irlba).
max_iterintegerdefault1000≥ 1Maximum number of iterations.
verbosebooleandefaultfalsePrint progress.
is_distancebooleandefaultfalseTreat the input as a distance matrix.
pca_centerbooleandefaulttrueCenter before the PCA step.
pca_scalebooleandefaultfalseScale before the PCA step.
normalizebooleandefaulttrueNormalize the input.
stop_lying_iterintegerdefault250≥ 0Iteration after which exaggeration stops.
mom_switch_iterintegerdefault250≥ 0Iteration at which momentum switches.
momentumnumberdefault0.5Initial momentum.
final_momentumnumberdefault0.8Momentum used later in optimization.
etanumberdefault200Learning rate.
exaggeration_factornumberdefault12Early-exaggeration factor.
num_threadsintegerdefault1≥ 0Number of threads (0 = all cores).
Y_initnumber[][] | null≥ 1 itemsOptional initial Y (embedding) matrix. null = random initialization.
Relationships
Used by