NeuralTSNE.TSNE package
Subpackages
- NeuralTSNE.TSNE.CostFunctions package
- NeuralTSNE.TSNE.Helpers package
- NeuralTSNE.TSNE.Modules package
- Submodules
- NeuralTSNE.TSNE.Modules.dimensionality_reduction module
DimensionalityReductionDimensionalityReduction.configure_optimizers()DimensionalityReduction.on_train_epoch_end()DimensionalityReduction.on_train_epoch_start()DimensionalityReduction.on_train_start()DimensionalityReduction.on_validation_start()DimensionalityReduction.predict_step()DimensionalityReduction.reset_exaggeration_status()DimensionalityReduction.training_step()DimensionalityReduction.validation_step()
- Module contents
- NeuralTSNE.TSNE.NeuralNetwork package
- NeuralTSNE.TSNE.ParametricTSNE package
Submodules
NeuralTSNE.TSNE.neural_tsne module
- main()[source]View on GitHub
- parse_args()[source]View on GitHub
- run_tsne(input_file, iter=1000, labels=None, no_dims=2, perplexity=30.0, exclude_cols=None, step=1, exaggeration_iter=0, exaggeration_value=12, o='result.txt', model_save=None, model_load=None, shuffle=False, train_size=None, test_size=None, jobs=1, batch_size=1000, header=False, net_multipliers=None, variance_threshold=None, cpu=False, early_stopping_delta=1e-05, early_stopping_patience=3, lr=0.001, auto_lr=False)[source]View on GitHub