Index

A

Accuracy (class in core.evaluation.f_score) AccuracyTolerance (class in core.evaluation.f_score) add_metrics() (core.evaluation.superclass.BinaryEvaluation method) (core.evaluation.superclass.OccupancyEvaluation method)

add_model() (core.model.superclass.DomainAdaptiveModel method) (core.model.superclass.NormalModel method) add_room() (core.data.dataset.Dataset method) analysis() (in module core.stats.analysis) auto_clean() (in module core.preprocessing.auto_clean)

B

BinaryEvaluation (class in core.evaluation.superclass)

C

change_feature_mapping() (core.data.dataset.Dataset method) change_feature_name() (core.data.dataset.Dataset method) change_occupancy() (core.data.dataset.Dataset method) change_room_mapping() (core.data.dataset.Dataset method) change_to_binary() (in module core.preprocessing.change) change_to_label() (in module core.preprocessing.change) change_to_one_hot() (in module core.preprocessing.change) change_values() (core.data.dataset.Dataset method) copy() (core.data.dataset.Dataset method) core.data module core.data.dataset module core.data.import_data module core.data.io module core.data.load_sample module core.easy_experiment module core.evaluation module core.evaluation.f_score module core.evaluation.mae module core.evaluation.mape module core.evaluation.mase module core.evaluation.nrmse module core.evaluation.rmse module core.evaluation.superclass module core.model module core.model.gaussian_process_classifier module core.model.gaussian_process_regression module core.model.hidden_markov_model module core.model.hmm_core module core.model.nn module core.model.particle_filtering module

core.model.random_forest module core.model.rnn module core.model.snmf module core.model.superclass module core.model.support_vector_machine module core.plot module core.plot.plot_feature module core.plot.plot_occupancy_perc module core.plot.plot_result module core.plot.plot_start_end module core.preprocessing module core.preprocessing.auto_clean module core.preprocessing.change module core.preprocessing.downsample module core.preprocessing.fill module core.preprocessing.ontology module core.preprocessing.outlier module core.preprocessing.upsample module core.stats module core.stats.analysis module core.stats.dropout_rate module core.stats.frequency module core.stats.gap_detect module core.stats.occupancy_evaluation module core.stats.uptime module

D

DALSTM (class in core.model.rnn) data() (core.data.dataset.Dataset property) Dataset (class in core.data.dataset)

DomainAdaptiveModel (class in core.model.superclass) downsample() (in module core.preprocessing.downsample) dropout_rate() (in module core.stats.dropout_rate)

E

easy_experiment() (in module core.easy_experiment)

easy_set_experiment() (in module core.easy_experiment) EmissionModel (class in core.model.hmm_core)

F

F1Score (class in core.evaluation.f_score) Fallout (class in core.evaluation.f_score) FalseNegative (class in core.evaluation.f_score) FalsePositive (class in core.evaluation.f_score)

feature_list() (core.data.dataset.Dataset property) feature_mapping() (core.data.dataset.Dataset property) fill() (in module core.preprocessing.fill) frequency() (in module core.stats.frequency)

G

gap_detect() (in module core.stats.gap_detect) Gaussian (class in core.model.hmm_core) get_all_metrics() (core.evaluation.superclass.BinaryEvaluation method) (core.evaluation.superclass.OccupancyEvaluation method) get_all_model() (core.model.superclass.DomainAdaptiveModel method) (core.model.superclass.NormalModel method)

get_prob() (core.model.hmm_core.EmissionModel method) (core.model.hmm_core.Gaussian method) get_result() (core.evaluation.superclass.Result method) GPC (class in core.model.gaussian_process_classifier) GPR (class in core.model.gaussian_process_regression)

H

HMM (class in core.model.hidden_markov_model)

HMM_Core (class in core.model.hmm_core) HMM_DA (class in core.model.hidden_markov_model)

I

import_data() (in module core.data.import_data)

L

learn() (core.model.hmm_core.EmissionModel method) (core.model.hmm_core.Gaussian method) (core.model.hmm_core.HMM_Core method)

load_sample() (in module core.data.load_sample) LSTM (class in core.model.rnn)

M

MAE (class in core.evaluation.mae) MAPE (class in core.evaluation.mape) MASE (class in core.evaluation.mase) Missrate (class in core.evaluation.f_score) module core.data core.data.dataset core.data.import_data core.data.io core.data.load_sample core.easy_experiment core.evaluation core.evaluation.f_score core.evaluation.mae core.evaluation.mape core.evaluation.mase core.evaluation.nrmse core.evaluation.rmse core.evaluation.superclass core.model core.model.gaussian_process_classifier core.model.gaussian_process_regression core.model.hidden_markov_model core.model.hmm_core core.model.nn core.model.particle_filtering core.model.random_forest core.model.rnn core.model.snmf core.model.superclass core.model.support_vector_machine core.plot core.plot.plot_feature core.plot.plot_occupancy_perc core.plot.plot_result core.plot.plot_start_end core.preprocessing core.preprocessing.auto_clean core.preprocessing.change core.preprocessing.downsample core.preprocessing.fill core.preprocessing.ontology core.preprocessing.outlier core.preprocessing.upsample core.stats core.stats.analysis core.stats.dropout_rate core.stats.frequency core.stats.gap_detect core.stats.occupancy_evaluation core.stats.uptime

N

NMF (class in core.model.snmf) NN (class in core.model.nn)

NormalModel (class in core.model.superclass) NRMSE (class in core.evaluation.nrmse)

O

occupancy() (core.data.dataset.Dataset property) occupancy_distribution_evaluation() (in module core.stats.occupancy_evaluation)

OccupancyEvaluation (class in core.evaluation.superclass) ontology() (in module core.preprocessing.ontology)

P

PF (class in core.model.particle_filtering) PF_DA (class in core.model.particle_filtering) pf_predict() (core.model.hmm_core.HMM_Core method) plot_feature_correlation() (in module core.plot.plot_feature) plot_occupancy_distribution() (in module core.plot.plot_occupancy_perc)

plot_result() (in module core.plot.plot_result) plot_start_end_distribution() (in module core.plot.plot_start_end) pop_room() (core.data.dataset.Dataset method) Precision (class in core.evaluation.f_score) prior() (core.model.hmm_core.HMM_Core method)

R

RandomForest (class in core.model.random_forest) read_dataset() (in module core.data.io) Recall (class in core.evaluation.f_score) remove_feature() (core.data.dataset.Dataset method) remove_metrics() (core.evaluation.superclass.BinaryEvaluation method) (core.evaluation.superclass.OccupancyEvaluation method) remove_model() (core.model.superclass.DomainAdaptiveModel method) (core.model.superclass.NormalModel method) remove_outlier() (in module core.preprocessing.outlier) Result (class in core.evaluation.superclass) RMSE (class in core.evaluation.rmse) room_list() (core.data.dataset.Dataset property) room_mapping() (core.data.dataset.Dataset property) run() (core.evaluation.f_score.Accuracy method) (core.evaluation.f_score.AccuracyTolerance method) (core.evaluation.f_score.F1Score method) (core.evaluation.f_score.Fallout method) (core.evaluation.f_score.FalseNegative method) (core.evaluation.f_score.FalsePositive method) (core.evaluation.f_score.Missrate method) (core.evaluation.f_score.Precision method) (core.evaluation.f_score.Recall method) (core.evaluation.f_score.Selectivity method) (core.evaluation.f_score.TrueNegative method) (core.evaluation.f_score.TruePositive method) (core.evaluation.mae.MAE method) (core.evaluation.mape.MAPE method) (core.evaluation.mase.MASE method) (core.evaluation.nrmse.NRMSE method) (core.evaluation.rmse.RMSE method) (core.model.gaussian_process_classifier.GPC method) (core.model.gaussian_process_regression.GPR method) (core.model.hidden_markov_model.HMM method) (core.model.hidden_markov_model.HMM_DA method) (core.model.nn.NN method) (core.model.particle_filtering.PF method) (core.model.particle_filtering.PF_DA method) (core.model.random_forest.RandomForest method) (core.model.rnn.DALSTM method) (core.model.rnn.LSTM method) (core.model.snmf.NMF method) (core.model.support_vector_machine.SVM method) (core.model.support_vector_machine.SVR method)

run_all_metrics() (core.evaluation.superclass.BinaryEvaluation method) (core.evaluation.superclass.OccupancyEvaluation method) run_all_model() (core.model.superclass.DomainAdaptiveModel method) (core.model.superclass.NormalModel method)

S

save_dataset() (in module core.data.io) select_feature() (core.data.dataset.Dataset method) Selectivity (class in core.evaluation.f_score) set_feature_name() (core.data.dataset.Dataset method)

set_result() (core.evaluation.superclass.Result method) split() (core.data.dataset.Dataset method) SVM (class in core.model.support_vector_machine) SVR (class in core.model.support_vector_machine)

T

TrueNegative (class in core.evaluation.f_score)

TruePositive (class in core.evaluation.f_score)

U

upsample() (in module core.preprocessing.upsample)

uptime() (in module core.stats.uptime)

V

viterbi_predict() (core.model.hmm_core.HMM_Core method)