src.model.layers.tf_cure package

Submodules

• src.model.layers.tf_cure.cure module
  • cure module
  • TfCURE
    • TfCURE.clusters
    • TfCURE.compression_factor
    • TfCURE.data
    • TfCURE.dimension
    • TfCURE.init_queue()
    • TfCURE.init_rtree()
    • TfCURE.iterate()
    • TfCURE.n_clusters
    • TfCURE.n_rep
    • TfCURE.process()
    • TfCURE.tree
• src.model.layers.tf_cure.tf_cluster module
  • class module
  • compute_dst()
  • pp_dst()
  • ragged_tf_concat()
  • ragged_tf_swap()
  • rep_loop_body()
  • static_get_idx()
  • static_merge_clst()
  • static_select_representors()
  • tf_clusters
    • tf_clusters.apply_rep_compression()
    • tf_clusters.best_closest()
    • tf_clusters.closest
    • tf_clusters.clusters
    • tf_clusters.compute_closest()
    • tf_clusters.compute_representors()
    • tf_clusters.distances
    • tf_clusters.get_idx()
    • tf_clusters.ids
    • tf_clusters.mean
    • tf_clusters.merge()
    • tf_clusters.reps
    • tf_clusters.size
    • tf_clusters.update_closest()
  • tf_concat()
• src.model.layers.tf_cure.tree module
  • tree module
  • tf_rtree
    • tf_rtree.add_cluster()
    • tf_rtree.add_clusters()
    • tf_rtree.nearest()
    • tf_rtree.remove_cluster()
    • tf_rtree.tree

Module contents

tf_cure.

Module which contains the implementation of the CURE algorithm using tensorflow, numpy and rtree.