Index

A

accum() (in module pyCP_APR.numpy_backend.accum)

arrange() (in module pyCP_APR.numpy_backend.arrange_ktensor) (in module pyCP_APR.numpy_backend.normalize_ktensor)

C

CP_APR (class in pyCP_APR.pyCP_APR)

CP_APR_MU (class in pyCP_APR.numpy_backend.CP_APR) (class in pyCP_APR.torch_backend.CP_APR_Torch)

D

deep_copy_factors() (pyCP_APR.numpy_backend.ktensor.K_TENSOR method) (pyCP_APR.torch_backend.ktensor_Torch.K_TENSOR method)

double() (in module pyCP_APR.numpy_backend.double_ktensor)

F

fit() (pyCP_APR.pyCP_APR.CP_APR method)

fixsigns_oneargin() (in module pyCP_APR.numpy_backend.fixsigns_ktensor)

G

get_dimension_fusion_scores() (pyCP_APR.applications.tensor_anomaly_detection_v2.PoissonTensorAnomaly_v2 method) get_lambdas() (pyCP_APR.applications.tensor_anomaly_detection_v2.PoissonTensorAnomaly_v2 method) get_link_prediction_scores() (pyCP_APR.applications.tensor_anomaly_detection_v2.PoissonTensorAnomaly_v2 method) get_params() (pyCP_APR.pyCP_APR.CP_APR method) get_prediction() (pyCP_APR.pyCP_APR.CP_APR method) get_score() (pyCP_APR.pyCP_APR.CP_APR method)

get_X_dim_size() (in module pyCP_APR.applications.sptensor_utils) get_X_dimensions() (in module pyCP_APR.applications.sptensor_utils) get_X_hat() (in module pyCP_APR.applications.ktensor_utils) get_X_num_non_zeros() (in module pyCP_APR.applications.sptensor_utils) get_X_num_zeros() (in module pyCP_APR.applications.sptensor_utils) get_X_size() (in module pyCP_APR.applications.ktensor_utils) (in module pyCP_APR.applications.sptensor_utils)

I

innerprod() (in module pyCP_APR.numpy_backend.innerprod_ktensor)

ipermute() (in module pyCP_APR.numpy_backend.ipermute_tensor)

K

K_TENSOR (class in pyCP_APR.numpy_backend.ktensor) (class in pyCP_APR.torch_backend.ktensor_Torch)

khatrirao() (in module pyCP_APR.numpy_backend.khatrirao_ktensor) (in module pyCP_APR.numpy_backend.khatrirao_sptensor)

L

list_datasets() (in module pyCP_APR.datasets)

load_dataset() (in module pyCP_APR.datasets)

M

module pyCP_APR, [1], [2] pyCP_APR.applications pyCP_APR.applications.ktensor_utils pyCP_APR.applications.sptensor_utils pyCP_APR.applications.stat_utils pyCP_APR.applications.tensor_anomaly_detection pyCP_APR.applications.tensor_anomaly_detection_v2 pyCP_APR.datasets pyCP_APR.numpy_backend pyCP_APR.numpy_backend.accum pyCP_APR.numpy_backend.arrange_ktensor pyCP_APR.numpy_backend.CP_APR pyCP_APR.numpy_backend.double_ktensor pyCP_APR.numpy_backend.fixsigns_ktensor pyCP_APR.numpy_backend.innerprod_ktensor pyCP_APR.numpy_backend.ipermute_tensor pyCP_APR.numpy_backend.khatrirao_ktensor pyCP_APR.numpy_backend.khatrirao_sptensor pyCP_APR.numpy_backend.ktensor pyCP_APR.numpy_backend.norm_ktensor pyCP_APR.numpy_backend.normalize_ktensor pyCP_APR.numpy_backend.permute_ktensor pyCP_APR.numpy_backend.permute_tensor pyCP_APR.numpy_backend.redistribute_ktensor pyCP_APR.numpy_backend.sptensor pyCP_APR.numpy_backend.tenmat_ktensor pyCP_APR.numpy_backend.tenmat_sptensor pyCP_APR.numpy_backend.tenmat_tensor pyCP_APR.numpy_backend.tensor pyCP_APR.numpy_backend.tt_dimscheck pyCP_APR.numpy_backend.ttm_sptensor pyCP_APR.numpy_backend.ttm_tensor pyCP_APR.numpy_backend.ttv_sptensor pyCP_APR.numpy_backend.ttv_tensor pyCP_APR.pyCP_APR pyCP_APR.torch_backend pyCP_APR.torch_backend.CP_APR_Torch pyCP_APR.torch_backend.ktensor_Torch pyCP_APR.torch_backend.sptensor_Torch pyCP_APR.version

mrr_fuse_ranks() (in module pyCP_APR.applications.stat_utils)

N

norm() (in module pyCP_APR.numpy_backend.norm_ktensor)

normalize() (in module pyCP_APR.numpy_backend.normalize_ktensor)

P

permute() (in module pyCP_APR.numpy_backend.permute_ktensor) (in module pyCP_APR.numpy_backend.permute_tensor) PoissonTensorAnomaly (class in pyCP_APR.applications.tensor_anomaly_detection) PoissonTensorAnomaly_v2 (class in pyCP_APR.applications.tensor_anomaly_detection_v2) predict() (pyCP_APR.applications.tensor_anomaly_detection.PoissonTensorAnomaly method) predict_probas() (pyCP_APR.pyCP_APR.CP_APR method) predict_scores() (pyCP_APR.pyCP_APR.CP_APR method) pyCP_APR module, [1], [2] pyCP_APR.applications module pyCP_APR.applications.ktensor_utils module pyCP_APR.applications.sptensor_utils module pyCP_APR.applications.stat_utils module pyCP_APR.applications.tensor_anomaly_detection module pyCP_APR.applications.tensor_anomaly_detection_v2 module pyCP_APR.datasets module pyCP_APR.numpy_backend module pyCP_APR.numpy_backend.accum module pyCP_APR.numpy_backend.arrange_ktensor module pyCP_APR.numpy_backend.CP_APR module pyCP_APR.numpy_backend.double_ktensor module pyCP_APR.numpy_backend.fixsigns_ktensor module pyCP_APR.numpy_backend.innerprod_ktensor module pyCP_APR.numpy_backend.ipermute_tensor module pyCP_APR.numpy_backend.khatrirao_ktensor module pyCP_APR.numpy_backend.khatrirao_sptensor module

pyCP_APR.numpy_backend.ktensor module pyCP_APR.numpy_backend.norm_ktensor module pyCP_APR.numpy_backend.normalize_ktensor module pyCP_APR.numpy_backend.permute_ktensor module pyCP_APR.numpy_backend.permute_tensor module pyCP_APR.numpy_backend.redistribute_ktensor module pyCP_APR.numpy_backend.sptensor module pyCP_APR.numpy_backend.tenmat_ktensor module pyCP_APR.numpy_backend.tenmat_sptensor module pyCP_APR.numpy_backend.tenmat_tensor module pyCP_APR.numpy_backend.tensor module pyCP_APR.numpy_backend.tt_dimscheck module pyCP_APR.numpy_backend.ttm_sptensor module pyCP_APR.numpy_backend.ttm_tensor module pyCP_APR.numpy_backend.ttv_sptensor module pyCP_APR.numpy_backend.ttv_tensor module pyCP_APR.pyCP_APR module pyCP_APR.torch_backend module pyCP_APR.torch_backend.CP_APR_Torch module pyCP_APR.torch_backend.ktensor_Torch module pyCP_APR.torch_backend.sptensor_Torch module pyCP_APR.version module

R

redistribute() (in module pyCP_APR.numpy_backend.redistribute_ktensor)

S

set_params() (pyCP_APR.pyCP_APR.CP_APR method)

SP_TENSOR (class in pyCP_APR.numpy_backend.sptensor) (class in pyCP_APR.torch_backend.sptensor_Torch)

T

tenmat() (in module pyCP_APR.numpy_backend.tenmat_ktensor) (in module pyCP_APR.numpy_backend.tenmat_sptensor) (in module pyCP_APR.numpy_backend.tenmat_tensor) TENSOR (class in pyCP_APR.numpy_backend.tensor) todense() (pyCP_APR.numpy_backend.sptensor.SP_TENSOR method) train() (pyCP_APR.numpy_backend.CP_APR.CP_APR_MU method) (pyCP_APR.torch_backend.CP_APR_Torch.CP_APR_MU method)

transform() (pyCP_APR.pyCP_APR.CP_APR method) tt_dimscheck() (in module pyCP_APR.numpy_backend.tt_dimscheck) ttm() (in module pyCP_APR.numpy_backend.ttm_sptensor) (in module pyCP_APR.numpy_backend.ttm_tensor) ttv() (in module pyCP_APR.numpy_backend.ttv_sptensor) (in module pyCP_APR.numpy_backend.ttv_tensor)