Population exploration settings

This page describes the settings of the population exploration dashboard which allows to control selected algorithms and analysis.

The Population exploration settings options

Within the population exploration settings, it is possible to control various aspects of the way the population exploration works and the samples it presents.

• Reduction Algorithm: let you control whether TSNE or PCA is used for the reduction of the latent space into a 2D space.

• Advanced options:

  • Metadata Based balancing: Balance the chosen samples across some metadata. For example, if you want to have the same number of class representatives from an unbalanced dataset, choose a metadata that assigns a label to sample, and balance according to it to get an even representation from each class.

  • Additional analysis: Select from a set of additional analysis options Tensorleap suggests but don't automatically perform

Some of the additional analysis options might take some time to compute, especially for large (>1M) datasets.