Index _ | A | B | C | D | E | F | G | I | J | K | L | M | N | O | P | Q | R | S | T | U | Z _ __init__() (tn4ml.embeddings.GaussianRBFEmbedding method) (tn4ml.embeddings.JaxArraysEmbedding method) (tn4ml.embeddings.LinearComplementEmbedding method) (tn4ml.embeddings.PolynomialEmbedding method) (tn4ml.models.Model method) (tn4ml.models.mpo.MatrixProductOperator method) (tn4ml.models.mps.MatrixProductState method) (tn4ml.models.smpo.SpacedMatrixProductOperator method) (tn4ml.models.tn.TensorNetwork method) (tn4ml.strategy.Sweeps method) A accuracy() (tn4ml.models.Model method) add_bias (tn4ml.embeddings.JaxArraysEmbedding attribute) apply() (tn4ml.models.smpo.SpacedMatrixProductOperator method) apply_mps() (tn4ml.models.smpo.SpacedMatrixProductOperator method) apply_smpo() (tn4ml.models.smpo.SpacedMatrixProductOperator method) arrays (tn4ml.models.smpo.SpacedMatrixProductOperator attribute) B bond_name (tn4ml.models.smpo.SpacedMatrixProductOperator attribute) C canonize() (tn4ml.models.tn.TensorNetwork method) centers (tn4ml.embeddings.GaussianRBFEmbedding attribute) CombinedLoss() (in module tn4ml.metrics) compare_AUC() (in module tn4ml.eval) compare_FPR_per_TPR() (in module tn4ml.eval) compare_TPR_per_FPR() (in module tn4ml.eval) compute_entropy() (tn4ml.models.Model method) compute_entropy_batch() (tn4ml.models.Model method) configure() (tn4ml.models.Model method) convert_to_pytree() (tn4ml.models.Model method) copy() (tn4ml.models.tn.TensorNetwork method) create_statevector() (tn4ml.embeddings.PatchAmplitudeEmbedding method) (tn4ml.embeddings.PatchEmbedding method) create_train_step() (tn4ml.models.Model method) CrossEntropySoftmax() (in module tn4ml.metrics) CrossEntropyWeighted() (in module tn4ml.metrics) D degree (tn4ml.embeddings.PolynomialEmbedding attribute) device (tn4ml.models.Model attribute) dim (tn4ml.embeddings.GaussianRBFEmbedding property) (tn4ml.embeddings.JaxArraysEmbedding attribute) (tn4ml.embeddings.JaxArraysEmbedding property) (tn4ml.embeddings.LinearComplementEmbedding property) (tn4ml.embeddings.PolynomialEmbedding property) E embed() (in module tn4ml.embeddings) evaluate() (tn4ml.models.Model method) F flatten_snake() (tn4ml.embeddings.PatchEmbedding method) forward() (tn4ml.models.Model method) G gamma (tn4ml.embeddings.GaussianRBFEmbedding attribute) GaussianRBFEmbedding (class in tn4ml.embeddings) get_FPR_for_fixed_TPR() (in module tn4ml.eval) get_mean_and_error() (in module tn4ml.eval) get_orders() (tn4ml.models.smpo.SpacedMatrixProductOperator method) get_precision_recall_curve_data() (in module tn4ml.eval) get_roc_curve_data() (in module tn4ml.eval) get_TPR_for_fixed_FPR() (in module tn4ml.eval) gradient_transforms (tn4ml.models.Model attribute) gramschmidt() (in module tn4ml.initializers) grouping (tn4ml.strategy.Sweeps attribute) I identity() (in module tn4ml.initializers) include_bias (tn4ml.embeddings.PolynomialEmbedding attribute) input_dim (tn4ml.embeddings.GaussianRBFEmbedding property) (tn4ml.embeddings.JaxArraysEmbedding attribute) (tn4ml.embeddings.JaxArraysEmbedding property) (tn4ml.embeddings.LinearComplementEmbedding property) (tn4ml.embeddings.PolynomialEmbedding property) iterate_sites() (tn4ml.strategy.Sweeps method) J JaxArraysEmbedding (class in tn4ml.embeddings) K kwargs (tn4ml.strategy.Sweeps attribute) L learning_rate (tn4ml.models.Model attribute) LinearComplementEmbedding (class in tn4ml.embeddings) load_model() (in module tn4ml.models) LogFrobNorm() (in module tn4ml.metrics) LogPowFrobNorm() (in module tn4ml.metrics) LogQuadNorm() (in module tn4ml.metrics) LogReLUFrobNorm() (in module tn4ml.metrics) loss (tn4ml.models.Model attribute) lower_ind_id (tn4ml.models.smpo.SpacedMatrixProductOperator attribute) lower_inds (tn4ml.models.smpo.SpacedMatrixProductOperator property) M MatrixProductOperator (class in tn4ml.models.mpo) MatrixProductState (class in tn4ml.models.mps) MeanSquaredError() (in module tn4ml.metrics) Model (class in tn4ml.models) module tn4ml.eval tn4ml.initializers tn4ml.metrics N n (tn4ml.embeddings.PolynomialEmbedding attribute) NegLogLikelihood() (in module tn4ml.metrics) NoReg() (in module tn4ml.metrics) norm() (tn4ml.models.smpo.SpacedMatrixProductOperator method) (tn4ml.models.tn.TensorNetwork method) normalize() (tn4ml.models.mpo.MatrixProductOperator method) (tn4ml.models.mps.MatrixProductState method) (tn4ml.models.smpo.SpacedMatrixProductOperator method) (tn4ml.models.tn.TensorNetwork method) nparams() (tn4ml.models.Model method) O ones() (in module tn4ml.initializers) opt_state (tn4ml.models.Model attribute) OptaxWrapper() (in module tn4ml.metrics) optimizer (tn4ml.models.Model attribute) output_inds (tn4ml.models.smpo.SpacedMatrixProductOperator attribute) P p (tn4ml.embeddings.LinearComplementEmbedding attribute) PatchAmplitudeEmbedding (class in tn4ml.embeddings) PatchEmbedding (class in tn4ml.embeddings) plot_accuracy() (in module tn4ml.eval) plot_loss() (in module tn4ml.eval) plot_PR_curve() (in module tn4ml.eval) plot_ROC_curve_from_data() (in module tn4ml.eval) plot_ROC_curve_from_metrics() (in module tn4ml.eval) PolynomialEmbedding (class in tn4ml.embeddings) posthook() (tn4ml.strategy.Sweeps method) predict() (tn4ml.models.Model method) prehook() (tn4ml.strategy.Sweeps method) Q QuadFrobNorm() (in module tn4ml.metrics) QuadNorm() (in module tn4ml.metrics) R rand_unitary() (in module tn4ml.initializers) randn() (in module tn4ml.initializers) S save() (tn4ml.models.Model method) SemiSupervisedLoss() (in module tn4ml.metrics) SemiSupervisedNLL() (in module tn4ml.metrics) shape (tn4ml.models.smpo.SpacedMatrixProductOperator attribute) site_tag_id (tn4ml.models.smpo.SpacedMatrixProductOperator attribute) Softmax() (in module tn4ml.metrics) SpacedMatrixProductOperator (class in tn4ml.models.smpo) spacing (tn4ml.models.smpo.SpacedMatrixProductOperator property) spacings (tn4ml.models.smpo.SpacedMatrixProductOperator property) split_opts (tn4ml.strategy.Sweeps attribute) strategy (tn4ml.models.Model attribute) Sweeps (class in tn4ml.strategy) T tags (tn4ml.models.smpo.SpacedMatrixProductOperator attribute) TensorNetwork (class in tn4ml.models.tn) tn4ml.eval module tn4ml.initializers module tn4ml.metrics module tn_opts (tn4ml.models.smpo.SpacedMatrixProductOperator attribute) train() (tn4ml.models.Model method) train_type (tn4ml.models.Model attribute) TransformedSquaredNorm() (in module tn4ml.metrics) two_way (tn4ml.strategy.Sweeps attribute) U unitary_matrix() (in module tn4ml.initializers) update_tensors() (tn4ml.models.Model method) upper_ind_id (tn4ml.models.smpo.SpacedMatrixProductOperator attribute) Z zeros() (in module tn4ml.initializers)
