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_pkgdown.yml
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127 lines (126 loc) · 2.87 KB
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url: https://opasche.github.io/EQRN/
template:
bootstrap: 5
light-switch: yes
reference:
- title: Fitting EQRN Tail Neural Networks
desc: Functions to fit a tail GPD EQRN network to intermediate quantile exceedences
contents:
- EQRN_fit_restart
- EQRN_fit
- EQRN_fit_seq
- title: Predicting using fitted EQRN networks
desc: ~
contents:
- EQRN_predict
- EQRN_predict_seq
- EQRN_predict_params
- EQRN_predict_params_seq
- EQRN_excess_probability
- EQRN_excess_probability_seq
- compute_EQRN_GPDLoss
- compute_EQRN_seq_GPDLoss
- title: Saving and Loading
desc: ~
contents:
- EQRN_save
- EQRN_load
- title: Neural Networks Helpers
desc: ~
contents:
- install_backend
- backend_is_installed
- default_device
- loss_GPD_tensor
- quantile_loss_tensor
- get_excesses
- process_features
- perform_scaling
- mts_dataset
- FC_GPD_net
- FC_GPD_SNN
- Separated_GPD_SNN
- Recurrent_GPD_net
- QRNN_RNN_net
- title: Extreme Value Analysis Helpers
desc: ~
contents:
- GPD_excess_probability
- fit_GPD_unconditional
- predict_unconditional_quantiles
- predict_GPD_semiconditional
- loss_GPD
- unconditional_train_valid_GPD_loss
- semiconditional_train_valid_GPD_loss
- GPD_quantiles
- title: Intermediate Models
desc: ~
contents:
- QRN_seq_fit
- QRN_fit_multiple
- QRN_seq_predict
- QRN_seq_predict_foldwise
- QRN_seq_predict_foldwise_sep
- title: Accuracy metrics
desc: ~
contents:
- mean_squared_error
- mean_absolute_error
- square_loss
- quantile_loss
- prediction_bias
- prediction_residual_variance
- R_squared
- proportion_below
- quantile_prediction_error
- quantile_exceedance_proba_error
- multilevel_MSE
- multilevel_MAE
- multilevel_q_loss
- multilevel_pred_bias
- multilevel_resid_var
- multilevel_R_squared
- multilevel_prop_below
- multilevel_q_pred_error
- multilevel_exceedance_proba_error
- title: Other Helpers
desc: ~
contents:
- check_directory
- safe_save_rds
- last_elem
- roundm
- vec2mat
- make_folds
- lagged_features
- vector_insert
- get_doFuture_operator
- set_doFuture_strategy
- end_doFuture_strategy
- title: Prediction methods
desc: S3 class method support for classes `EQRN_iid`, `EQRN_seq` and `QRN_seq`,
and methods `predict` and `excess_probability`, as a facultative alternative to
their respective functions above.
contents:
- predict.EQRN_iid
- predict.EQRN_seq
- predict.QRN_seq
- excess_probability
- excess_probability.EQRN_iid
- excess_probability.EQRN_seq
- title: internal
contents:
- onload_backend_installer
- ensure_backend_installed
- EQRN_predict_internal
- EQRN_predict_internal_seq
- instantiate_EQRN_network
- setup_optimizer
- setup_optimizer_seq
- decay_learning_rate
- batch_size_default
- legacy_names
- fix_dimsimplif
- nn_dropout_nd
- nn_alpha_dropout
- list2matrix