Index

_

__version__ (in module prevision_quantum_nn)

A

add_validation_loss() (prevision_quantum_nn.models.utilities.early_stopper.EarlyStopper method) Application (class in prevision_quantum_nn.applications.application)

apply_padding() (prevision_quantum_nn.preprocessing.preprocess.Preprocessor method) architecture (prevision_quantum_nn.models.qnn.QuantumNeuralNetwork attribute) associate_learner() (prevision_quantum_nn.applications.reinforcement_learning.policy.Policy method)

B

BaseLearner (class in prevision_quantum_nn.applications.reinforcement_learning.base_learner) batch_size (prevision_quantum_nn.models.pennylane_backend.qnn_pennylane.PennylaneNeuralNetwork attribute) (prevision_quantum_nn.models.qnn.QuantumNeuralNetwork attribute) BehaviorPolicy (class in prevision_quantum_nn.applications.reinforcement_learning.policy) best_val_loss (prevision_quantum_nn.models.utilities.early_stopper.EarlyStopper attribute) best_var (prevision_quantum_nn.models.utilities.early_stopper.EarlyStopper attribute) buffer (prevision_quantum_nn.models.utilities.early_stopper.EarlyStopper attribute) build() (prevision_quantum_nn.applications.classification_application.ClassificationApplication method) (prevision_quantum_nn.applications.multiclassification_application.MultiClassificationApplication method) (prevision_quantum_nn.applications.regression_application.RegressionApplication method) (prevision_quantum_nn.applications.reinforcement_learning.deep_q_learning.DeepFullyConnectedLearner method) (prevision_quantum_nn.applications.reinforcement_learning_application.ReinforcementLearningApplication method) (prevision_quantum_nn.models.pennylane_backend.qnn_pennylane.PennylaneNeuralNetwork method) (prevision_quantum_nn.models.pennylane_backend.qnn_pennylane_cv.CVNeuralNetwork method) (prevision_quantum_nn.models.pennylane_backend.qnn_pennylane_qubit.PennylaneQubitNeuralNetwork method) (prevision_quantum_nn.models.qnn.QuantumNeuralNetwork method) (prevision_quantum_nn.postprocessing.plotter.phase_space_plotter.PhaseSpacePlotter method) (prevision_quantum_nn.postprocessing.postprocess.Postprocessor method) (prevision_quantum_nn.preprocessing.dimension_reduction.wrapper.Wrapper method)

build_early_stopper() (prevision_quantum_nn.models.qnn.QuantumNeuralNetwork method) build_for_model() (prevision_quantum_nn.preprocessing.preprocess.Preprocessor method) build_optimizer() (prevision_quantum_nn.models.pennylane_backend.qnn_pennylane.PennylaneNeuralNetwork method) built (prevision_quantum_nn.models.qnn.QuantumNeuralNetwork attribute)

C

callback() (prevision_quantum_nn.postprocessing.postprocess.Postprocessor method) check_encoding() (prevision_quantum_nn.models.pennylane_backend.qnn_pennylane_cv.CVNeuralNetwork method) (prevision_quantum_nn.models.pennylane_backend.qnn_pennylane_qubit.PennylaneQubitNeuralNetwork method) check_model() (prevision_quantum_nn.models.qnn.QuantumNeuralNetwork method) check_preprocessor() (prevision_quantum_nn.preprocessing.preprocess.Preprocessor method)

ClassificationApplication (class in prevision_quantum_nn.applications.classification_application) compute_dimension_reduction_params() (prevision_quantum_nn.preprocessing.preprocess.Preprocessor method) cost() (prevision_quantum_nn.models.pennylane_backend.qnn_pennylane.PennylaneNeuralNetwork method), [1] cross_entropy() (in module prevision_quantum_nn.models.utilities.losses) cutoff_dim (prevision_quantum_nn.models.pennylane_backend.qnn_pennylane_cv.CVNeuralNetwork attribute) CVNeuralNetwork (class in prevision_quantum_nn.models.pennylane_backend.qnn_pennylane_cv)

D

DataSet (class in prevision_quantum_nn.dataset.dataset) dataset (prevision_quantum_nn.applications.application.Application attribute) DeepFullyConnectedLearner (class in prevision_quantum_nn.applications.reinforcement_learning.deep_q_learning) DeepQLearner (class in prevision_quantum_nn.applications.reinforcement_learning.deep_q_learning)

degree (prevision_quantum_nn.preprocessing.polynomial_expansion.PolynomialExpander attribute) dev (prevision_quantum_nn.models.pennylane_backend.qnn_pennylane_cv.CVNeuralNetwork attribute) (prevision_quantum_nn.models.pennylane_backend.qnn_pennylane_qubit.PennylaneQubitNeuralNetwork attribute) dim (prevision_quantum_nn.postprocessing.plotter.phase_space_plotter.PhaseSpacePlotter attribute) dimension_reduction_fitter (prevision_quantum_nn.preprocessing.preprocess.Preprocessor attribute)

E

early_stopper (prevision_quantum_nn.models.qnn.QuantumNeuralNetwork attribute) early_stopper_patience (prevision_quantum_nn.models.qnn.QuantumNeuralNetwork attribute) EarlyStopper (class in prevision_quantum_nn.models.utilities.early_stopper) encode_data() (prevision_quantum_nn.models.pennylane_backend.qnn_pennylane.PennylaneNeuralNetwork method) (prevision_quantum_nn.models.pennylane_backend.qnn_pennylane_cv.CVNeuralNetwork method) (prevision_quantum_nn.models.pennylane_backend.qnn_pennylane_qubit.PennylaneQubitNeuralNetwork method)

environment (prevision_quantum_nn.applications.reinforcement_learning_application.ReinforcementLearningApplication attribute) epsilon (prevision_quantum_nn.applications.reinforcement_learning.policy.Policy attribute) epsilon_decay (prevision_quantum_nn.applications.reinforcement_learning.policy.Policy attribute) expansion_type (prevision_quantum_nn.preprocessing.polynomial_expansion.PolynomialExpander attribute)

F

feature_engineer (prevision_quantum_nn.preprocessing.feature_engineering.FeatureEngineer attribute) (prevision_quantum_nn.preprocessing.preprocess.Preprocessor attribute) FeatureEngineer (class in prevision_quantum_nn.preprocessing.feature_engineering) features_indexes (prevision_quantum_nn.preprocessing.dimension_reduction.wrapper.Wrapper attribute) fit() (prevision_quantum_nn.applications.reinforcement_learning.deep_q_learning.DeepQLearner method) (prevision_quantum_nn.applications.reinforcement_learning.q_learning.QLearner method) (prevision_quantum_nn.applications.reinforcement_learning.qnn_q_learning.QNNQLearner method) (prevision_quantum_nn.models.pennylane_backend.qnn_pennylane.PennylaneNeuralNetwork method) (prevision_quantum_nn.preprocessing.dimension_reduction.pca.PrincipalComponentAnalysis method) (prevision_quantum_nn.preprocessing.dimension_reduction.wrapper.Wrapper method) (prevision_quantum_nn.preprocessing.feature_engineering.FeatureEngineer method) (prevision_quantum_nn.preprocessing.polynomial_expansion.PolynomialExpander method)

fit_learner() (prevision_quantum_nn.applications.reinforcement_learning.policy.Policy method) fit_transform() (prevision_quantum_nn.preprocessing.dimension_reduction.pca.PrincipalComponentAnalysis method) (prevision_quantum_nn.preprocessing.dimension_reduction.wrapper.Wrapper method) (prevision_quantum_nn.preprocessing.feature_engineering.FeatureEngineer method) (prevision_quantum_nn.preprocessing.polynomial_expansion.PolynomialExpander method) (prevision_quantum_nn.preprocessing.preprocess.Preprocessor method) force_dimension_reduction (prevision_quantum_nn.preprocessing.preprocess.Preprocessor attribute) forward() (prevision_quantum_nn.applications.reinforcement_learning.deep_q_learning.DeepFullyConnectedLearner method) (prevision_quantum_nn.applications.reinforcement_learning.q_learning.QLearner method) (prevision_quantum_nn.applications.reinforcement_learning.qnn_q_learning.QNNQLearner method) from_numpy() (prevision_quantum_nn.dataset.dataset.DataSet method) from_pandas() (prevision_quantum_nn.dataset.dataset.DataSet method)

G

gamma (prevision_quantum_nn.applications.reinforcement_learning.policy.Policy attribute) get_action() (prevision_quantum_nn.applications.reinforcement_learning.policy.BehaviorPolicy method) (prevision_quantum_nn.applications.reinforcement_learning.policy.Policy method) (prevision_quantum_nn.applications.reinforcement_learning.policy.TargetPolicy method) get_application() (in module prevision_quantum_nn) (in module prevision_quantum_nn.utils.get_application) get_best_var() (prevision_quantum_nn.models.utilities.early_stopper.EarlyStopper method) get_cell() (prevision_quantum_nn.applications.reinforcement_learning.q_learning.QLearner method) get_dataset_from_numpy() (in module prevision_quantum_nn) (in module prevision_quantum_nn.utils.get_dataset)

get_dataset_from_pandas() (in module prevision_quantum_nn) (in module prevision_quantum_nn.utils.get_dataset) get_model() (in module prevision_quantum_nn) (in module prevision_quantum_nn.utils.get_model) get_plotter() (in module prevision_quantum_nn.utils.get_plotter) (prevision_quantum_nn.postprocessing.postprocess.Postprocessor method) get_random_batch() (prevision_quantum_nn.models.qnn.QuantumNeuralNetwork method) get_stopping_criterion() (prevision_quantum_nn.models.utilities.early_stopper.EarlyStopper method)

H

has_prevision (in module prevision_quantum_nn.preprocessing.feature_engineering), [1]

has_validation (prevision_quantum_nn.postprocessing.plotter.phase_space_plotter_1d.PhaseSpacePlotter1D attribute) (prevision_quantum_nn.postprocessing.plotter.phase_space_plotter_2d.PhaseSpacePlotter2D attribute)

I

initialize_weights() (prevision_quantum_nn.models.pennylane_backend.qnn_pennylane.PennylaneNeuralNetwork method) (prevision_quantum_nn.models.pennylane_backend.qnn_pennylane_cv.CVNeuralNetwork method) (prevision_quantum_nn.models.pennylane_backend.qnn_pennylane_qubit.PennylaneQubitNeuralNetwork method) input_size (prevision_quantum_nn.applications.reinforcement_learning.deep_q_learning.DeepQLearner attribute) (prevision_quantum_nn.applications.reinforcement_learning.qnn_q_learning.QNNQLearner attribute)

interface (prevision_quantum_nn.models.pennylane_backend.qnn_pennylane.PennylaneNeuralNetwork attribute) isjupyternotebook() (in module prevision_quantum_nn.utils.get_jupyter_nb) iteration (prevision_quantum_nn.applications.reinforcement_learning.policy.Policy attribute)

L

layer() (prevision_quantum_nn.models.pennylane_backend.qnn_pennylane.PennylaneNeuralNetwork method) layers() (prevision_quantum_nn.models.pennylane_backend.qnn_pennylane_cv.CVNeuralNetwork method) (prevision_quantum_nn.models.pennylane_backend.qnn_pennylane_qubit.PennylaneQubitNeuralNetwork method) learner (prevision_quantum_nn.applications.reinforcement_learning.policy.Policy attribute) learning_rate (prevision_quantum_nn.models.pennylane_backend.qnn_pennylane.PennylaneNeuralNetwork attribute) learning_type (prevision_quantum_nn.applications.reinforcement_learning.policy.Policy attribute)

LEARNING_TYPES (in module prevision_quantum_nn.applications.reinforcement_learning.policy) load_application() (in module prevision_quantum_nn) (in module prevision_quantum_nn.utils.get_application) load_weights() (prevision_quantum_nn.models.pennylane_backend.qnn_pennylane.PennylaneNeuralNetwork method) log_params() (prevision_quantum_nn.applications.application.Application method) logging_iteration() (prevision_quantum_nn.models.qnn.QuantumNeuralNetwork method)

M

max_iterations (prevision_quantum_nn.models.qnn.QuantumNeuralNetwork attribute) max_num_q (prevision_quantum_nn.applications.application.Application attribute) memory_replay_period (prevision_quantum_nn.applications.reinforcement_learning.policy.Policy attribute) METRICS (in module prevision_quantum_nn.utils.results_parser) model (prevision_quantum_nn.applications.classification_application.ClassificationApplication attribute) (prevision_quantum_nn.applications.multiclassification_application.MultiClassificationApplication attribute) (prevision_quantum_nn.applications.regression_application.RegressionApplication attribute) (prevision_quantum_nn.applications.reinforcement_learning.deep_q_learning.DeepQLearner attribute) (prevision_quantum_nn.applications.reinforcement_learning.qnn_q_learning.QNNQLearner attribute)

MultiClassificationApplication (class in prevision_quantum_nn.applications.multiclassification_application)

N

neural_network() (prevision_quantum_nn.models.pennylane_backend.qnn_pennylane.PennylaneNeuralNetwork method) num_acitons (prevision_quantum_nn.applications.reinforcement_learning_application.ReinforcementLearningApplication attribute) num_actions (prevision_quantum_nn.models.qnn.QuantumNeuralNetwork attribute) num_categories (prevision_quantum_nn.dataset.dataset.DataSet attribute) (prevision_quantum_nn.models.qnn.QuantumNeuralNetwork attribute)

num_features (prevision_quantum_nn.dataset.dataset.DataSet attribute) num_layers (prevision_quantum_nn.applications.reinforcement_learning.qnn_q_learning.QNNQLearner attribute) (prevision_quantum_nn.models.qnn.QuantumNeuralNetwork attribute) num_q (prevision_quantum_nn.models.qnn.QuantumNeuralNetwork attribute)

O

optimizer (prevision_quantum_nn.models.pennylane_backend.qnn_pennylane.PennylaneNeuralNetwork attribute) optimizer_name (prevision_quantum_nn.applications.reinforcement_learning.deep_q_learning.DeepQLearner attribute) (prevision_quantum_nn.applications.reinforcement_learning.qnn_q_learning.QNNQLearner attribute)

OPTIMIZER_NAMES (in module prevision_quantum_nn.models.pennylane_backend.qnn_pennylane) output_layer() (prevision_quantum_nn.models.pennylane_backend.qnn_pennylane.PennylaneNeuralNetwork method) (prevision_quantum_nn.models.pennylane_backend.qnn_pennylane_cv.CVNeuralNetwork method) (prevision_quantum_nn.models.pennylane_backend.qnn_pennylane_qubit.PennylaneQubitNeuralNetwork method)

P

params (prevision_quantum_nn.applications.reinforcement_learning.deep_q_learning.DeepQLearner attribute) (prevision_quantum_nn.applications.reinforcement_learning.policy.Policy attribute) (prevision_quantum_nn.applications.reinforcement_learning.q_learning.QLearner attribute) (prevision_quantum_nn.applications.reinforcement_learning.qnn_q_learning.QNNQLearner attribute) (prevision_quantum_nn.models.pennylane_backend.qnn_pennylane.PennylaneNeuralNetwork attribute) (prevision_quantum_nn.models.qnn.QuantumNeuralNetwork attribute) parse_results() (in module prevision_quantum_nn) (in module prevision_quantum_nn.utils.results_parser) pca (prevision_quantum_nn.preprocessing.dimension_reduction.pca.PrincipalComponentAnalysis attribute) PennylaneNeuralNetwork (class in prevision_quantum_nn.models.pennylane_backend.qnn_pennylane) PennylaneQubitNeuralNetwork (class in prevision_quantum_nn.models.pennylane_backend.qnn_pennylane_qubit) PhaseSpacePlotter (class in prevision_quantum_nn.postprocessing.plotter.phase_space_plotter) PhaseSpacePlotter1D (class in prevision_quantum_nn.postprocessing.plotter.phase_space_plotter_1d) PhaseSpacePlotter2D (class in prevision_quantum_nn.postprocessing.plotter.phase_space_plotter_2d) plot() (prevision_quantum_nn.postprocessing.plotter.phase_space_plotter_1d.PhaseSpacePlotter1D method) (prevision_quantum_nn.postprocessing.plotter.phase_space_plotter_2d.PhaseSpacePlotter2D method) plot_losses() (in module prevision_quantum_nn) (in module prevision_quantum_nn.utils.results_plotter) plot_metric() (in module prevision_quantum_nn) (in module prevision_quantum_nn.utils.results_plotter) plot_reward() (in module prevision_quantum_nn) (in module prevision_quantum_nn.utils.results_plotter) plotter (prevision_quantum_nn.postprocessing.postprocess.Postprocessor attribute) Policy (class in prevision_quantum_nn.applications.reinforcement_learning.policy) poly (prevision_quantum_nn.preprocessing.polynomial_expansion.PolynomialExpander attribute) polynomial_expander (prevision_quantum_nn.preprocessing.preprocess.Preprocessor attribute) polynomial_expansion_type (prevision_quantum_nn.preprocessing.preprocess.Preprocessor attribute) PolynomialExpander (class in prevision_quantum_nn.preprocessing.polynomial_expansion) Postprocessor (class in prevision_quantum_nn.postprocessing.postprocess) postprocessor (prevision_quantum_nn.applications.classification_application.ClassificationApplication attribute) (prevision_quantum_nn.applications.multiclassification_application.MultiClassificationApplication attribute) (prevision_quantum_nn.applications.regression_application.RegressionApplication attribute) (prevision_quantum_nn.models.qnn.QuantumNeuralNetwork attribute) predict() (prevision_quantum_nn.applications.application.Application method) (prevision_quantum_nn.models.pennylane_backend.qnn_pennylane.PennylaneNeuralNetwork method) prefix (prevision_quantum_nn.models.qnn.QuantumNeuralNetwork attribute) prepare_phase_space() (prevision_quantum_nn.postprocessing.plotter.phase_space_plotter.PhaseSpacePlotter method) (prevision_quantum_nn.postprocessing.plotter.phase_space_plotter_1d.PhaseSpacePlotter1D method) (prevision_quantum_nn.postprocessing.plotter.phase_space_plotter_2d.PhaseSpacePlotter2D method) preprocess_state() (prevision_quantum_nn.applications.reinforcement_learning_application.ReinforcementLearningApplication method) Preprocessor (class in prevision_quantum_nn.preprocessing.preprocess) preprocessor (prevision_quantum_nn.applications.classification_application.ClassificationApplication attribute) (prevision_quantum_nn.applications.multiclassification_application.MultiClassificationApplication attribute) (prevision_quantum_nn.applications.regression_application.RegressionApplication attribute) prevision_quantum_nn (module)

prevision_quantum_nn.applications (module) prevision_quantum_nn.applications.application (module) prevision_quantum_nn.applications.classification_application (module) prevision_quantum_nn.applications.multiclassification_application (module) prevision_quantum_nn.applications.regression_application (module) prevision_quantum_nn.applications.reinforcement_learning (module) prevision_quantum_nn.applications.reinforcement_learning.base_learner (module) prevision_quantum_nn.applications.reinforcement_learning.deep_q_learning (module) prevision_quantum_nn.applications.reinforcement_learning.policy (module) prevision_quantum_nn.applications.reinforcement_learning.q_learning (module) prevision_quantum_nn.applications.reinforcement_learning.qnn_q_learning (module) prevision_quantum_nn.applications.reinforcement_learning_application (module) prevision_quantum_nn.dataset (module) prevision_quantum_nn.dataset.dataset (module) prevision_quantum_nn.models (module) prevision_quantum_nn.models.pennylane_backend (module) prevision_quantum_nn.models.pennylane_backend.qnn_pennylane (module) prevision_quantum_nn.models.pennylane_backend.qnn_pennylane_cv (module) prevision_quantum_nn.models.pennylane_backend.qnn_pennylane_qubit (module) prevision_quantum_nn.models.qnn (module) prevision_quantum_nn.models.utilities (module) prevision_quantum_nn.models.utilities.early_stopper (module) prevision_quantum_nn.models.utilities.losses (module) prevision_quantum_nn.models.utilities.to_categorical (module) prevision_quantum_nn.postprocessing (module) prevision_quantum_nn.postprocessing.plotter (module) prevision_quantum_nn.postprocessing.plotter.phase_space_plotter (module) prevision_quantum_nn.postprocessing.plotter.phase_space_plotter_1d (module) prevision_quantum_nn.postprocessing.plotter.phase_space_plotter_2d (module) prevision_quantum_nn.postprocessing.postprocess (module) prevision_quantum_nn.preprocessing (module) prevision_quantum_nn.preprocessing.dimension_reduction (module) prevision_quantum_nn.preprocessing.dimension_reduction.pca (module) prevision_quantum_nn.preprocessing.dimension_reduction.wrapper (module) prevision_quantum_nn.preprocessing.feature_engineering (module) prevision_quantum_nn.preprocessing.polynomial_expansion (module) prevision_quantum_nn.preprocessing.preprocess (module) prevision_quantum_nn.utils (module) prevision_quantum_nn.utils.get_application (module) prevision_quantum_nn.utils.get_dataset (module) prevision_quantum_nn.utils.get_jupyter_nb (module) prevision_quantum_nn.utils.get_model (module) prevision_quantum_nn.utils.get_plotter (module) prevision_quantum_nn.utils.results_parser (module) prevision_quantum_nn.utils.results_plotter (module) PrincipalComponentAnalysis (class in prevision_quantum_nn.preprocessing.dimension_reduction.pca)

Q

QLearner (class in prevision_quantum_nn.applications.reinforcement_learning.q_learning)

QNNQLearner (class in prevision_quantum_nn.applications.reinforcement_learning.qnn_q_learning) QuantumNeuralNetwork (class in prevision_quantum_nn.models.qnn)

R

RegressionApplication (class in prevision_quantum_nn.applications.regression_application)

ReinforcementLearningApplication (class in prevision_quantum_nn.applications.reinforcement_learning_application) running_mode (prevision_quantum_nn.models.qnn.QuantumNeuralNetwork attribute)

S

save (prevision_quantum_nn.models.qnn.QuantumNeuralNetwork attribute) save_params() (prevision_quantum_nn.applications.application.Application method) save_preprocessor() (prevision_quantum_nn.applications.application.Application method) set_validation_data() (prevision_quantum_nn.postprocessing.plotter.phase_space_plotter_1d.PhaseSpacePlotter1D method) (prevision_quantum_nn.postprocessing.plotter.phase_space_plotter_2d.PhaseSpacePlotter2D method) snapshot() (prevision_quantum_nn.models.pennylane_backend.qnn_pennylane.PennylaneNeuralNetwork method) snapshot_frequency (prevision_quantum_nn.models.qnn.QuantumNeuralNetwork attribute)

solve() (prevision_quantum_nn.applications.classification_application.ClassificationApplication method) (prevision_quantum_nn.applications.multiclassification_application.MultiClassificationApplication method) (prevision_quantum_nn.applications.regression_application.RegressionApplication method) (prevision_quantum_nn.applications.reinforcement_learning_application.ReinforcementLearningApplication method) square_loss() (in module prevision_quantum_nn.models.utilities.losses) step() (prevision_quantum_nn.applications.reinforcement_learning.policy.Policy method) (prevision_quantum_nn.models.pennylane_backend.qnn_pennylane.PennylaneNeuralNetwork method)

T

TargetPolicy (class in prevision_quantum_nn.applications.reinforcement_learning.policy) to_categorical() (in module prevision_quantum_nn.models.utilities.to_categorical) to_numpy() (prevision_quantum_nn.dataset.dataset.DataSet method) transform() (prevision_quantum_nn.preprocessing.dimension_reduction.pca.PrincipalComponentAnalysis method) (prevision_quantum_nn.preprocessing.dimension_reduction.wrapper.Wrapper method) (prevision_quantum_nn.preprocessing.feature_engineering.FeatureEngineer method) (prevision_quantum_nn.preprocessing.polynomial_expansion.PolynomialExpander method) (prevision_quantum_nn.preprocessing.preprocess.Preprocessor method)

type_problem (prevision_quantum_nn.models.qnn.QuantumNeuralNetwork attribute) (prevision_quantum_nn.preprocessing.dimension_reduction.wrapper.Wrapper attribute)

U

update() (prevision_quantum_nn.models.utilities.early_stopper.EarlyStopper method) update_epsilon_greedy_parameter() (prevision_quantum_nn.applications.reinforcement_learning.policy.Policy method)

use_early_stopper (prevision_quantum_nn.models.qnn.QuantumNeuralNetwork attribute) use_memory_replay (prevision_quantum_nn.applications.reinforcement_learning.policy.Policy attribute)

V

val_losses (prevision_quantum_nn.models.utilities.early_stopper.EarlyStopper attribute) value_function (prevision_quantum_nn.applications.reinforcement_learning.base_learner.BaseLearner attribute) (prevision_quantum_nn.applications.reinforcement_learning_application.ReinforcementLearningApplication attribute)

verbose (prevision_quantum_nn.models.pennylane_backend.qnn_pennylane.PennylaneNeuralNetwork attribute)

W

window (prevision_quantum_nn.models.utilities.early_stopper.EarlyStopper attribute)

Wrapper (class in prevision_quantum_nn.preprocessing.dimension_reduction.wrapper)

X

x_plot (prevision_quantum_nn.postprocessing.plotter.phase_space_plotter_1d.PhaseSpacePlotter1D attribute) (prevision_quantum_nn.postprocessing.plotter.phase_space_plotter_2d.PhaseSpacePlotter2D attribute)

x_val (prevision_quantum_nn.postprocessing.plotter.phase_space_plotter_1d.PhaseSpacePlotter1D attribute) (prevision_quantum_nn.postprocessing.plotter.phase_space_plotter_2d.PhaseSpacePlotter2D attribute)

Y

y_val (prevision_quantum_nn.postprocessing.plotter.phase_space_plotter_1d.PhaseSpacePlotter1D attribute) (prevision_quantum_nn.postprocessing.plotter.phase_space_plotter_2d.PhaseSpacePlotter2D attribute)