VL3D++

Contents:

  • Introduction
  • Data mining
  • Machine learning
  • Deep learning
  • Transformers
  • Imputers
  • Clustering
  • Writers
  • Evaluators
  • Pipelines
  • Configuration
  • Examples

License:

  • License

Source:

  • src
    • src.api
    • src.clustering
    • src.eval
    • src.geometry
    • src.inout
    • src.main
    • src.mining
    • src.model
    • src.pcloud
    • src.pipeline
    • src.plot
    • src.report
      • src.report.advanced_classification_report
      • src.report.best_score_selection_report
      • src.report.class_reduction_report
      • src.report.classification_report
      • src.report.classification_uncertainty_report
      • src.report.classified_pcloud_report
      • src.report.deep_learning_model_summary_report
      • src.report.directional_reclassification_report
      • src.report.distance_reclassification_report
      • src.report.feature_processing_layer_report
      • src.report.features_structuring_layer_report
      • src.report.hyper_search_report
      • src.report.kfold_report
      • src.report.kpconv_layer_report
      • src.report.light_kpconv_layer_report
      • src.report.meta_report
      • src.report.minmax_normalization_report
      • src.report.pca_projection_report
      • src.report.pwise_activations_report
      • src.report.rand_forest_report
      • src.report.rand_forestpp_report
      • src.report.receptive_field_oversampling_report
      • src.report.receptive_fields_distribution_report
      • src.report.receptive_fields_report
      • src.report.regression_report
      • src.report.report
      • src.report.simple_curve_report
      • src.report.standardization_report
      • src.report.taut_string_reclassification_report
      • src.report.torf_rfvsnn_report
      • src.report.training_history_report
      • src.report.variance_selection_report
    • src.tests
    • src.ui
    • src.utils
    • src.vl3dpp
  • npu
VL3D++
  • src
  • src.report
  • View page source

src.report

author:

Alberto M. Esmoris Pena

The report package contains the logic to report relevant information derived from the data, the models, and their evaluations. Reports can be text-based, but they can also be represented as point clouds. However, reports are not typically figures, since figures are handled by the plot package instead.

Modules

advanced_classification_report

best_score_selection_report

class_reduction_report

classification_report

classification_uncertainty_report

classified_pcloud_report

deep_learning_model_summary_report

directional_reclassification_report

distance_reclassification_report

feature_processing_layer_report

features_structuring_layer_report

hyper_search_report

kfold_report

kpconv_layer_report

light_kpconv_layer_report

meta_report

minmax_normalization_report

pca_projection_report

pwise_activations_report

rand_forest_report

rand_forestpp_report

receptive_field_oversampling_report

receptive_fields_distribution_report

receptive_fields_report

regression_report

report

simple_curve_report

standardization_report

taut_string_reclassification_report

torf_rfvsnn_report

training_history_report

variance_selection_report

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© Copyright 2025 by Alberto Manuel Esmorís Pena is licensed under CC BY 4.0.

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