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A
AbortFlag (class in pyplt.util)
AboutBox (class in pyplt.gui.util.help)
ActivationType (class in pyplt.util.enums)
add_experiment() (pyplt.experimentmanager.ExperimentManager method)
auto_extract_enabled() (pyplt.gui.experiment.preprocessing.preproctab.PreProcessingFrame method)
(pyplt.gui.experiment.preprocessing.preproctab.PreProcessingTab method)
Autoencoder (class in pyplt.autoencoder)
AutoencoderNormalizationValueError
B
BACKPROPAGATION (pyplt.util.enums.PLAlgo attribute)
BACKPROPAGATION_SKLEARN (pyplt.util.enums.PLAlgo attribute)
BackpropagationTF (class in pyplt.plalgorithms.backprop_tf)
BackpropMenu (class in pyplt.gui.experiment.preflearning.backprop_menu)
BeginnerMenu (class in pyplt.gui.beginnermenu)
BeginnerStep1HelpDialog (class in pyplt.gui.util.help)
BeginnerStep2HelpDialog (class in pyplt.gui.util.help)
BeginnerStep3HelpDialog (class in pyplt.gui.util.help)
BeginnerStep4HelpDialog (class in pyplt.gui.util.help)
BeginnerStep5HelpDialog (class in pyplt.gui.util.help)
C
calc_train_accuracy() (pyplt.plalgorithms.backprop_tf.BackpropagationTF method)
(pyplt.plalgorithms.base.PLAlgorithm method)
(pyplt.plalgorithms.ranknet.RankNet method)
(pyplt.plalgorithms.ranksvc.RankSVC method)
(pyplt.plalgorithms.ranksvm.RankSVM method)
CANCEL (pyplt.gui.experiment.dataset.params.Confirmation attribute)
clean_up() (pyplt.autoencoder.Autoencoder method)
(pyplt.plalgorithms.backprop_tf.BackpropagationTF method)
(pyplt.plalgorithms.base.PLAlgorithm method)
(pyplt.plalgorithms.ranknet.RankNet method)
configure_styles() (in module pyplt.gui.util.styles)
Confirmation (class in pyplt.gui.experiment.dataset.params)
D
DataLoadingTab (class in pyplt.gui.experiment.dataset.loading)
DataSetPreviewFrame (class in pyplt.gui.experiment.dataset.preview)
DataSetType (class in pyplt.util.enums)
DataSetValueWarning
destroy_preview() (pyplt.gui.experiment.dataset.preview.DataSetPreviewFrame method)
destroy_tab() (pyplt.gui.experiment.preprocessing.preproctab.PreProcessingFrame method)
disable_parent() (in module pyplt.gui.util.windowstacking)
DONE (pyplt.gui.experiment.dataset.params.Confirmation attribute)
done() (pyplt.gui.experiment.progresswindow.ProgressWindow method)
E
encode() (pyplt.autoencoder.Autoencoder method)
Evaluator (class in pyplt.evaluation.base)
EvaluatorType (class in pyplt.util.enums)
Experiment (class in pyplt.experiment)
ExperimentManager (class in pyplt.experimentmanager)
F
FeatureSelectionFrame (class in pyplt.gui.experiment.featureselection.featselectiontab)
FeatureSelectionMethod (class in pyplt.fsmethods.base)
FeatureSelectionTab (class in pyplt.gui.experiment.featureselection.featselectiontab)
FileType (class in pyplt.util.enums)
FLOAT (pyplt.util.enums.ParamType attribute)
FLOAT_POSITIVE (pyplt.util.enums.ParamType attribute)
FoldsRowsException
FoldsSampleIDsException
FSHelpDialog (class in pyplt.gui.util.help)
FSMethod (class in pyplt.util.enums)
G
get_actfs() (pyplt.autoencoder.Autoencoder method)
get_algorithm() (pyplt.gui.experiment.featureselection.featselectiontab.FeatureSelectionFrame method)
(pyplt.gui.experiment.preflearning.pltab.PLFrame method)
get_algorithm_instance() (in module pyplt.gui.util.supported_methods)
get_algorithm_params() (pyplt.gui.experiment.featureselection.featselectiontab.FeatureSelectionFrame method)
(pyplt.gui.experiment.preflearning.pltab.PLFrame method)
get_autoencoder_details() (pyplt.experiment.Experiment method)
get_autoencoder_loss() (pyplt.experiment.Experiment method)
get_autoencoder_menu() (pyplt.gui.experiment.preprocessing.preproctab.PreProcessingFrame method)
(pyplt.gui.experiment.preprocessing.preproctab.PreProcessingTab method)
get_base_frame() (pyplt.gui.util.tab_locking.LockableTab method)
get_code_size() (pyplt.autoencoder.Autoencoder method)
get_confirmation() (pyplt.gui.experiment.dataset.params.LoadingFoldsWindow method)
(pyplt.gui.experiment.dataset.params.LoadingParamsWindow method)
get_data() (pyplt.experiment.Experiment method)
(pyplt.gui.experiment.dataset.loading.DataLoadingTab method)
(pyplt.gui.experiment.dataset.params.LoadingFoldsWindow method)
(pyplt.gui.experiment.dataset.params.LoadingParamsWindow method)
get_description() (pyplt.evaluation.base.Evaluator method)
(pyplt.fsmethods.base.FeatureSelectionMethod method)
(pyplt.plalgorithms.base.PLAlgorithm method)
get_epochs() (pyplt.autoencoder.Autoencoder method)
get_error_thresh() (pyplt.autoencoder.Autoencoder method)
get_eval_method_instance() (in module pyplt.gui.util.supported_methods)
get_evaluator() (pyplt.gui.experiment.featureselection.featselectiontab.FeatureSelectionFrame method)
(pyplt.gui.experiment.preflearning.pltab.PLFrame method)
(pyplt.gui.experiment.preflearning.pltab.PLTab method)
get_evaluator_params() (pyplt.gui.experiment.featureselection.featselectiontab.FeatureSelectionFrame method)
(pyplt.gui.experiment.preflearning.pltab.PLFrame method)
(pyplt.gui.experiment.preflearning.pltab.PLTab method)
get_features() (pyplt.evaluation.cross_validation.PreprocessedFolds method)
(pyplt.experiment.Experiment method)
get_fs_algorithm() (pyplt.gui.experiment.featureselection.featselectiontab.FeatureSelectionTab method)
get_fs_algorithm_params() (pyplt.gui.experiment.featureselection.featselectiontab.FeatureSelectionTab method)
get_fs_evaluator() (pyplt.gui.experiment.featureselection.featselectiontab.FeatureSelectionTab method)
get_fs_evaluator_params() (pyplt.gui.experiment.featureselection.featselectiontab.FeatureSelectionTab method)
get_fs_method() (pyplt.gui.experiment.featureselection.featselectiontab.FeatureSelectionTab method)
get_fs_method_instance() (in module pyplt.gui.util.supported_methods)
get_fs_method_params() (pyplt.gui.experiment.featureselection.featselectiontab.FeatureSelectionTab method)
get_include_settings() (pyplt.gui.experiment.preprocessing.preproctab.PreProcessingFrame method)
(pyplt.gui.experiment.preprocessing.preproctab.PreProcessingTab method)
get_learn_rate() (pyplt.autoencoder.Autoencoder method)
get_message() (pyplt.exceptions.PLTException method)
get_method() (pyplt.gui.experiment.featureselection.featselectiontab.FeatureSelectionFrame method)
get_method_params() (pyplt.gui.experiment.featureselection.featselectiontab.FeatureSelectionFrame method)
get_n_folds() (pyplt.evaluation.cross_validation.PreprocessedFolds method)
get_name() (pyplt.evaluation.base.Evaluator method)
(pyplt.fsmethods.base.FeatureSelectionMethod method)
(pyplt.plalgorithms.base.PLAlgorithm method)
get_norm_settings() (pyplt.experiment.Experiment method)
(pyplt.gui.experiment.preprocessing.preproctab.PreProcessingFrame method)
(pyplt.gui.experiment.preprocessing.preproctab.PreProcessingTab method)
get_normal_frame() (pyplt.gui.experiment.featureselection.featselectiontab.FeatureSelectionTab method)
(pyplt.gui.experiment.preflearning.pltab.PLTab method)
(pyplt.gui.experiment.preprocessing.preproctab.PreProcessingTab method)
(pyplt.gui.util.tab_locking.LockableTab method)
get_objects_path() (pyplt.gui.experiment.dataset.loading.DataLoadingTab method)
get_orig_features() (pyplt.experiment.Experiment method)
get_params() (pyplt.evaluation.base.Evaluator method)
(pyplt.fsmethods.base.FeatureSelectionMethod method)
(pyplt.gui.experiment.preflearning.backprop_menu.BackpropMenu method)
(pyplt.gui.experiment.preflearning.evaluator_menus.HoldoutMenu method)
(pyplt.gui.experiment.preflearning.evaluator_menus.KFCVMenu method)
(pyplt.gui.experiment.preflearning.ranknet_menu.RankNetMenu method)
(pyplt.gui.experiment.preflearning.ranksvm_menu.RankSVMMenu method)
(pyplt.plalgorithms.base.PLAlgorithm method)
get_params_string() (pyplt.evaluation.base.Evaluator method)
(pyplt.fsmethods.base.FeatureSelectionMethod method)
(pyplt.plalgorithms.base.PLAlgorithm method)
get_pl_algorithm() (pyplt.experiment.Experiment method)
(pyplt.gui.experiment.preflearning.pltab.PLTab method)
get_pl_algorithm_params() (pyplt.gui.experiment.preflearning.pltab.PLTab method)
get_rank_derivation_params() (pyplt.gui.experiment.dataset.loading.DataLoadingTab method)
(pyplt.gui.experiment.dataset.params.LoadingParamsWindow method)
get_ranks_path() (pyplt.gui.experiment.dataset.loading.DataLoadingTab method)
get_selected_features() (pyplt.fsmethods.base.FeatureSelectionMethod method)
get_shuffle_settings() (pyplt.gui.experiment.preprocessing.preproctab.PreProcessingFrame method)
(pyplt.gui.experiment.preprocessing.preproctab.PreProcessingTab method)
get_single_path() (pyplt.gui.experiment.dataset.loading.DataLoadingTab method)
get_summary() (pyplt.exceptions.PLTException method)
get_time_meta_data() (pyplt.experiment.Experiment method)
get_topology() (pyplt.autoencoder.Autoencoder method)
get_topology_incl_input() (pyplt.autoencoder.Autoencoder method)
get_train_accuracy() (pyplt.plalgorithms.base.PLAlgorithm method)
H
HelpDialog (class in pyplt.gui.util.help)
HoldOut (class in pyplt.evaluation.holdout)
HOLDOUT (pyplt.util.enums.EvaluatorType attribute)
HoldoutMenu (class in pyplt.gui.experiment.preflearning.evaluator_menus)
I
IDsException
IncompatibleFoldIndicesException
init_tab() (pyplt.gui.experiment.preprocessing.preproctab.PreProcessingFrame method)
init_train() (pyplt.autoencoder.Autoencoder method)
(pyplt.plalgorithms.backprop_tf.BackpropagationTF method)
(pyplt.plalgorithms.base.PLAlgorithm method)
(pyplt.plalgorithms.ranknet.RankNet method)
INT (pyplt.util.enums.ParamType attribute)
InvalidParameterValueException
is_data_loaded() (pyplt.gui.experiment.dataset.loading.DataLoadingTab method)
is_dual_format() (pyplt.experiment.Experiment method)
is_new_data() (pyplt.gui.experiment.dataset.loading.DataLoadingTab method)
is_training_only() (pyplt.evaluation.cross_validation.PreprocessedFolds method)
K
KernelType (class in pyplt.util.enums)
KFCV (pyplt.util.enums.EvaluatorType attribute)
KFCVMenu (class in pyplt.gui.experiment.preflearning.evaluator_menus)
KFoldCrossValidation (class in pyplt.evaluation.cross_validation)
L
LINEAR (pyplt.util.enums.ActivationType attribute)
(pyplt.util.enums.KernelType attribute)
load_model() (pyplt.plalgorithms.backprop_tf.BackpropagationTF method)
(pyplt.plalgorithms.base.PLAlgorithm method)
load_object_data() (pyplt.experiment.Experiment method)
load_rank_data() (pyplt.experiment.Experiment method)
load_single_data() (pyplt.experiment.Experiment method)
LoadDataHelpDialog (class in pyplt.gui.util.help)
LoadingFoldsWindow (class in pyplt.gui.experiment.dataset.params)
LoadingParamsWindow (class in pyplt.gui.experiment.dataset.params)
lock() (pyplt.gui.experiment.preprocessing.preproctab.PreProcessingTab method)
(pyplt.gui.util.tab_locking.LockableTab method)
LockableTab (class in pyplt.gui.util.tab_locking)
LockedFrame (class in pyplt.gui.util.tab_locking)
log() (pyplt.gui.experiment.progresswindow.ProgressWindow method)
M
MainHelpDialog (class in pyplt.gui.util.help)
MainMenu (class in pyplt.gui.mainmenu)
ManualFoldsFormatException
MIN_MAX (pyplt.util.enums.NormalizationType attribute)
MissingManualFoldsException
Mode (class in pyplt.gui.util.windowstacking)
N
N_BEST (pyplt.util.enums.FSMethod attribute)
NEUROEVOLUTION (pyplt.util.enums.PLAlgo attribute)
next_fold() (pyplt.evaluation.cross_validation.PreprocessedFolds method)
NoFeaturesError
NONE (pyplt.util.enums.EvaluatorType attribute)
(pyplt.util.enums.FSMethod attribute)
(pyplt.util.enums.NormalizationType attribute)
NonNumericFeatureException
NonNumericValuesException
NoRanksDerivedError
NormalizationType (class in pyplt.util.enums)
NormalizationValueError
O
ObjectIDsFormatException
OBJECTS (pyplt.util.enums.FileType attribute)
ObjectsFirstException
on_close() (in module pyplt.gui.util.windowstacking)
OPEN_ONLY (pyplt.gui.util.windowstacking.Mode attribute)
ORDERED (pyplt.util.enums.DataSetType attribute)
P
pairwise_transform_from_ranks() (pyplt.plalgorithms.ranksvc.RankSVC method)
ParamIgnoredWarning
ParamType (class in pyplt.util.enums)
place_window() (in module pyplt.gui.util.windowstacking)
PLAlgo (class in pyplt.util.enums)
PLAlgorithm (class in pyplt.plalgorithms.base)
PLFrame (class in pyplt.gui.experiment.preflearning.pltab)
PLHelpDialog (class in pyplt.gui.util.help)
PLTab (class in pyplt.gui.experiment.preflearning.pltab)
PLTException
POLY (pyplt.util.enums.KernelType attribute)
predict() (pyplt.autoencoder.Autoencoder method)
(pyplt.plalgorithms.backprop_tf.BackpropagationTF method)
(pyplt.plalgorithms.base.PLAlgorithm method)
(pyplt.plalgorithms.ranknet.RankNet method)
predict_m() (pyplt.plalgorithms.ranksvm.RankSVM method)
PREFERENCES (pyplt.util.enums.DataSetType attribute)
PreprocessedFolds (class in pyplt.evaluation.cross_validation)
PreProcessingFrame (class in pyplt.gui.experiment.preprocessing.preproctab)
PreProcessingTab (class in pyplt.gui.experiment.preprocessing.preproctab)
PreprocHelpDialog (class in pyplt.gui.util.help)
print_objects() (pyplt.experiment.Experiment method)
print_ranks() (pyplt.experiment.Experiment method)
progress() (pyplt.gui.experiment.progresswindow.ProgressWindow method)
ProgressWindow (class in pyplt.gui.experiment.progresswindow)
put() (pyplt.gui.experiment.progresswindow.ProgressWindow method)
pyplt (module)
pyplt.autoencoder (module)
pyplt.evaluation (module)
pyplt.evaluation.base (module)
pyplt.evaluation.cross_validation (module)
pyplt.evaluation.holdout (module)
pyplt.exceptions (module)
pyplt.experiment (module)
pyplt.experimentmanager (module)
pyplt.fsmethods (module)
pyplt.fsmethods.base (module)
pyplt.fsmethods.sfs (module)
pyplt.fsmethods.wrappers (module)
pyplt.gui (module)
pyplt.gui.beginnermenu (module)
pyplt.gui.experiment (module)
pyplt.gui.experiment.dataset (module)
pyplt.gui.experiment.dataset.loading (module)
pyplt.gui.experiment.dataset.params (module)
pyplt.gui.experiment.dataset.preview (module)
pyplt.gui.experiment.featureselection (module)
pyplt.gui.experiment.featureselection.featselectiontab (module)
pyplt.gui.experiment.preflearning (module)
pyplt.gui.experiment.preflearning.backprop_menu (module)
pyplt.gui.experiment.preflearning.evaluator_menus (module)
pyplt.gui.experiment.preflearning.pltab (module)
pyplt.gui.experiment.preflearning.ranknet_menu (module)
pyplt.gui.experiment.preflearning.ranksvm_menu (module)
pyplt.gui.experiment.preprocessing (module)
pyplt.gui.experiment.preprocessing.preproctab (module)
pyplt.gui.experiment.progresswindow (module)
pyplt.gui.experiment.results (module)
pyplt.gui.experiment.results.resultsscreen (module)
pyplt.gui.experiment.singleexperimentwindow (module)
pyplt.gui.mainmenu (module)
pyplt.gui.util (module)
pyplt.gui.util.colours (module)
pyplt.gui.util.help (module)
pyplt.gui.util.styles (module)
pyplt.gui.util.supported_methods (module)
pyplt.gui.util.tab_locking (module)
pyplt.gui.util.text (module)
pyplt.gui.util.windowstacking (module)
pyplt.main_gui (module)
pyplt.plalgorithms (module)
pyplt.plalgorithms.backprop_tf (module)
pyplt.plalgorithms.base (module)
pyplt.plalgorithms.ranknet (module)
pyplt.plalgorithms.ranksvc (module)
pyplt.plalgorithms.ranksvm (module)
pyplt.util (module)
pyplt.util.enums (module)
R
RankDerivationHelpDialog (class in pyplt.gui.util.help)
RankNet (class in pyplt.plalgorithms.ranknet)
RANKNET (pyplt.util.enums.PLAlgo attribute)
RankNetMenu (class in pyplt.gui.experiment.preflearning.ranknet_menu)
RANKS (pyplt.util.enums.FileType attribute)
RanksFormatException
RankSVC (class in pyplt.plalgorithms.ranksvc)
RankSVM (class in pyplt.plalgorithms.ranksvm)
RANKSVM (pyplt.util.enums.PLAlgo attribute)
RankSVMMenu (class in pyplt.gui.experiment.preflearning.ranksvm_menu)
RBF (pyplt.util.enums.KernelType attribute)
real_param_name() (in module pyplt.gui.util.text)
real_type_name() (in module pyplt.gui.util.text)
refresh() (pyplt.gui.experiment.preprocessing.preproctab.PreProcessingTab method)
RELU (pyplt.util.enums.ActivationType attribute)
ResultsHelpDialog (class in pyplt.gui.util.help)
ResultsWindow (class in pyplt.gui.experiment.results.resultsscreen)
run() (pyplt.experiment.Experiment method)
run_all() (pyplt.experimentmanager.ExperimentManager method)
run_exp() (pyplt.gui.experiment.preflearning.pltab.PLFrame method)
run_experiment() (pyplt.gui.experiment.preflearning.pltab.PLTab method)
S
save_exp_log() (pyplt.experiment.Experiment method)
save_model() (pyplt.experiment.Experiment method)
(pyplt.plalgorithms.backprop_tf.BackpropagationTF method)
(pyplt.plalgorithms.base.PLAlgorithm method)
(pyplt.plalgorithms.ranknet.RankNet method)
(pyplt.plalgorithms.ranksvc.RankSVC method)
(pyplt.plalgorithms.ranksvm.RankSVM method)
save_model_with_dialog() (pyplt.plalgorithms.base.PLAlgorithm method)
SBS (pyplt.util.enums.FSMethod attribute)
select() (pyplt.fsmethods.base.FeatureSelectionMethod method)
(pyplt.fsmethods.sfs.SFS method)
set_autoencoder() (pyplt.experiment.Experiment method)
set_exec_thread() (pyplt.gui.experiment.progresswindow.ProgressWindow method)
set_fs_algorithm() (pyplt.experiment.Experiment method)
set_fs_evaluator() (pyplt.experiment.Experiment method)
set_fs_method() (pyplt.experiment.Experiment method)
set_normalization() (pyplt.experiment.Experiment method)
set_pl_algorithm() (pyplt.experiment.Experiment method)
set_pl_evaluator() (pyplt.experiment.Experiment method)
set_rank_derivation_params() (pyplt.experiment.Experiment method)
SFS (class in pyplt.fsmethods.sfs)
(pyplt.util.enums.FSMethod attribute)
SIGMOID (pyplt.util.enums.ActivationType attribute)
SINGLE (pyplt.util.enums.FileType attribute)
SingleExperimentWindow (class in pyplt.gui.experiment.singleexperimentwindow)
split() (pyplt.evaluation.cross_validation.KFoldCrossValidation method)
(pyplt.evaluation.holdout.HoldOut method)
stack_window() (in module pyplt.gui.util.windowstacking)
stop() (pyplt.util.AbortFlag method)
stopped() (pyplt.util.AbortFlag method)
T
test() (pyplt.plalgorithms.backprop_tf.BackpropagationTF method)
(pyplt.plalgorithms.base.PLAlgorithm method)
(pyplt.plalgorithms.ranknet.RankNet method)
(pyplt.plalgorithms.ranksvc.RankSVC method)
(pyplt.plalgorithms.ranksvm.RankSVM method)
train() (pyplt.autoencoder.Autoencoder method)
(pyplt.plalgorithms.backprop_tf.BackpropagationTF method)
(pyplt.plalgorithms.base.PLAlgorithm method)
(pyplt.plalgorithms.ranknet.RankNet method)
(pyplt.plalgorithms.ranksvc.RankSVC method)
(pyplt.plalgorithms.ranksvm.RankSVM method)
transform_data() (pyplt.plalgorithms.backprop_tf.BackpropagationTF static method)
(pyplt.plalgorithms.base.PLAlgorithm static method)
(pyplt.plalgorithms.ranknet.RankNet method)
(pyplt.plalgorithms.ranksvc.RankSVC static method)
(pyplt.plalgorithms.ranksvm.RankSVM static method)
U
unlock() (pyplt.gui.experiment.preprocessing.preproctab.PreProcessingTab method)
(pyplt.gui.util.tab_locking.LockableTab method)
update() (pyplt.gui.experiment.dataset.preview.DataSetPreviewFrame method)
update_column() (pyplt.gui.experiment.dataset.preview.DataSetPreviewFrame method)
update_gui() (pyplt.gui.experiment.progresswindow.ProgressWindow method)
W
WITH_CLOSE (pyplt.gui.util.windowstacking.Mode attribute)
WrapperFSMethod (class in pyplt.fsmethods.wrappers)
Z
Z_SCORE (pyplt.util.enums.NormalizationType attribute)
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