Functions — github.com/AnicetNgrt/jiro-nn

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Functions858 in github.com/AnicetNgrt/jiro-nn

⨍ Functions 858◇ Types & classes 90

↓ 4 callersMethodexp

(&self)

src/linalg/ndarray_matrix.rs:208

↓ 4 callersMethodfeature_names

(&self)

src/dataset.rs:97

↓ 4 callersMethodforward

(&mut self, input: Matrix)

src/network/mod.rs:214

↓ 4 callersMethodgen_image

(&self, nrow: usize, ncol: usize, nchan: usize, nsample: usize)

src/vision/conv_initializers.rs:15

↓ 4 callersMethodget_channel

(&self, channel: usize)

src/vision/image/ndarray_image.rs:139

↓ 4 callersMethodget_column_as_table

(&self, name: &str)

src/datatable.rs:135

↓ 4 callersMethodget_params

(&self)

src/network/mod.rs:25

↓ 4 callersMethodinit

(self, initializer: Initializers)

src/model/full_dense_layer_model.rs:194

↓ 4 callersMethodinit

(self, initializer: ConvInitializers)

src/model/full_dense_conv_layer_model.rs:202

↓ 4 callersMethodinit

(self, initializer: ConvInitializers)

src/model/full_direct_conv_layer_model.rs:199

↓ 4 callersMethodkernels_optimizer

(self, optimizer: ConvOptimizers)

src/model/full_dense_conv_layer_model.rs:217

↓ 4 callersMethodkernels_optimizer

(self, optimizer: ConvOptimizers)

src/model/full_direct_conv_layer_model.rs:214

↓ 4 callersMethodmap_scalar_column

(&self, column: &str, f: impl Fn(Scalar) -> Scalar)

src/datatable.rs:379

↓ 4 callersMethodmomentum

(self)

src/model/full_dense_layer_model.rs:157

↓ 4 callersMethodneural_network

(self)

src/model/mod.rs:89

↓ 4 callersFunctionquartiles_vector

(vec: &Vec<Scalar>)

src/vec_utils.rs:81

↓ 4 callersMethodtrain_epoch

( &self, epoch: usize, network: &mut Network, train_data: &DataTable,

src/model/mod.rs:169

↓ 4 callersMethodtranspose

(&self)

src/linalg/ndarray_matrix.rs:147

↓ 4 callersMethodupdate_parameters

( &mut self, epoch: usize, parameters: &Image, parameters_gradient: &Image,

src/vision/conv_optimizer/mod.rs:19

↓ 4 callersFunctionvector_quartiles_iqr

(vals: &Vec<Scalar>)

src/vec_utils.rs:103

↓ 4 callersMethodweights_optimizer

(self, optimizer: Optimizers)

src/model/full_dense_layer_model.rs:209

↓ 3 callersFunctionadam

()

src/optimizer/mod.rs:37

↓ 3 callersMethodappend_column

(&self, column: Series)

src/datatable.rs:56

↓ 3 callersMethodappend_table_as_column

(&self, table: &Self)

src/datatable.rs:60

↓ 3 callersMethodbackward

(&mut self, _epoch: usize, output_gradient: Image)

src/vision/conv_activation/mod.rs:34

↓ 3 callersMethodcolumns_sum

(&self)

src/linalg/ndarray_matrix.rs:127

↓ 3 callersMethodcomponent_div

(&self, other: &Self)

src/vision/image/ndarray_image.rs:91

↓ 3 callersMethoddisable_dropout

(&mut self)

src/layer/full_layer.rs:120

↓ 3 callersMethoddrop_columns

(&self, columns: &[S])

src/datatable.rs:516

↓ 3 callersMethodepochs_avg_test_loss

(&self)

src/benchmarking.rs:61

↓ 3 callersMethodepochs_avg_train_loss

(&self)

src/benchmarking.rs:34

↓ 3 callersMethodexp

(&self)

src/vision/image/ndarray_image.rs:175

↓ 3 callersMethodforward

(&mut self, input: Image)

src/vision/conv_activation/mod.rs:29

↓ 3 callersMethodget_final_epoch

(&self)

src/benchmarking.rs:117

↓ 3 callersMethodget_id_column

(&self)

src/dataset.rs:207

↓ 3 callersMethodload_params

(&mut self, params: &NetworkParams)

src/network/mod.rs:35

↓ 3 callersMethodloss_prime

(&self, y_true: &Matrix, y_pred: &Matrix)

src/loss/mod.rs:44

↓ 3 callersFunctionmomentum

()

src/optimizer/mod.rs:45

↓ 3 callersMethodoptimizer

(self, optimizer: Optimizers)

src/model/full_dense_layer_model.rs:189

↓ 3 callersMethodoptimizer

(self, optimizer: ConvOptimizers)

src/model/full_dense_conv_layer_model.rs:197

↓ 3 callersMethodoptimizer

(self, optimizer: ConvOptimizers)

src/model/full_direct_conv_layer_model.rs:194

↓ 3 callersMethodpredict_many

`inputs` has shape `(n, i)` where `n` is the number of samples and `i` is the number of inputs. Returns `preds` which has shape `(n, j)` where `n` is

src/network/mod.rs:74

↓ 3 callersMethodscalar_div

(&self, scalar: Scalar)

src/vision/image/ndarray_image.rs:107

↓ 3 callersMethodshuffle

src/linalg/ndarray_matrix.rs:200

↓ 3 callersMethodtake_best_model

Returns the best model of the folds if computed

src/trainers/kfolds.rs:67

↓ 3 callersMethodtile

( &self, repetitions_row: usize, repetitions_col: usize, repetitions_chan: usi

src/vision/image/ndarray_image.rs:69

↓ 3 callersMethodto_parquet_file

(&self, path: P)

src/datatable.rs:286

↓ 3 callersMethodtrain

`x_train` has shape `(i, n)` where `n` is the number of samples and `i` is the number of inputs. `y_train` has shape `(j, n)` where `n` is the number

src/network/mod.rs:166

↓ 3 callersMethodtranspose

(&self)

src/datatable.rs:508

↓ 3 callersMethodwith_added_feature

Create a new dataset with a new feature added.

src/dataset.rs:68

↓ 3 callersMethodwith_column_scalar

(&self, name: &str, values: &[Scalar])

src/datatable.rs:147

↓ 2 callersMethodaccept_full_dense

(mut self, layer: FullDenseLayerModel)

src/model/network_model.rs:38

↓ 2 callersMethodall_epochs_r2

Enables computing the R2 score of the model at the end of each epoch and reporting it if a real time reporter is attached. /!\ Requires `all_epochs_v

src/trainers/split.rs:52

↓ 2 callersMethodall_epochs_validation

Enables computing the validation score of the model at the end of each epoch and reporting it if a real time reporter is attached. /!\ Is time consum

src/trainers/split.rs:63

↓ 2 callersMethodas_dropout_layer

(&mut self)

src/vision/conv_network.rs:71

↓ 2 callersMethodas_scalar_hashmap

(&self)

src/datatable.rs:417

↓ 2 callersMethodcolumns_to_vector

(&self)

src/datatable.rs:504

↓ 2 callersMethodcompute_best_model

Enables saving the model of the best fold at the final epoch

src/trainers/kfolds.rs:55

↓ 2 callersMethodconv_network

(self, in_channels: usize)

src/model/network_model.rs:25

↓ 2 callersMethodconvolve

(&self, kernels: &Self, full: bool)

src/vision/image/arrayfire_image.rs:433

↓ 2 callersMethodconvolve_full

(&self, kernels: &Self)

src/vision/image/ndarray_image.rs:115

↓ 2 callersFunctiondefault_momentum

()

src/optimizer/momentum.rs:8

↓ 2 callersMethodfind_all_corresponding

(&self, data: &DataTable, column: &str)

src/preprocessing/map.rs:33

↓ 2 callersMethodget_cached_feature_file_name

( &self, id: &String, working_dir: &str, feature: &Feature, )

src/preprocessing/feature_cached.rs:32

↓ 2 callersMethodget_columns

(&self)

src/datatable.rs:127

↓ 2 callersMethodget_columns_names

(&self)

src/datatable.rs:44

↓ 2 callersMethodget_n_epochs

(&self)

src/benchmarking.rs:99

↓ 2 callersMethodget_row

(&self, idx: usize)

src/linalg/ndarray_matrix.rs:105

↓ 2 callersMethodin_features_names

Return the names of the features that are not configurationified as outputs.

src/dataset.rs:106

↓ 2 callersMethodinit_glorot_uniform

(self)

src/model/full_dense_layer_model.rs:117

↓ 2 callersMethodkernels_init

(self, initializer: ConvInitializers)

src/model/full_dense_conv_layer_model.rs:237

↓ 2 callersMethodkernels_init

(self, initializer: ConvInitializers)

src/model/full_direct_conv_layer_model.rs:234

↓ 2 callersMethodlinear

(self)

src/model/full_dense_layer_model.rs:97

↓ 2 callersMethodlog

(&self)

src/linalg/ndarray_matrix.rs:238

↓ 2 callersMethodmap_str_column_to_scalar_column

( &self, column: &str, new_column: &str, f: impl Fn(&str) -> Scalar, )

src/datatable.rs:332

↓ 2 callersMethodmaxof

(&self, other: &Self)

src/linalg/ndarray_matrix.rs:212

↓ 2 callersMethodmaxof

(&self, other: &Self)

src/vision/image/ndarray_image.rs:179

↓ 2 callersMethodmean

(&self)

src/linalg/ndarray_matrix.rs:204

↓ 2 callersFunctionmin_vector

(vec: &Vec<Scalar>)

src/vec_utils.rs:111

↓ 2 callersMethodnum_rows

(&self)

src/datatable.rs:36

↓ 2 callersMethodonly

Applies the feature tag to only some features.

src/dataset.rs:401

↓ 2 callersMethodprepend

( &mut self, transformation: DT, )

src/preprocessing/mod.rs:102

↓ 2 callersMethodpretty_print_tasks

(&self)

src/monitor/mod.rs:81

↓ 2 callersMethodremove_features

(&mut self, feature_names: &[&str])

src/dataset.rs:144

↓ 2 callersMethodscale_kernels

(&mut self, scale: Scalar)

src/vision/conv_layer/dense_conv_layer.rs:143

↓ 2 callersMethodsgd

(self)

src/model/full_dense_layer_model.rs:153

↓ 2 callersMethodsoftmax

(self)

src/model/full_dense_layer_model.rs:101

↓ 2 callersFunctionsoftmax_prime_col

(col: &Matrix, output_gradient: &Matrix)

src/activation/softmax.rs:54

↓ 2 callersMethodsplit_k_folds

(&self, k: usize, iter: usize)

src/datatable.rs:396

↓ 2 callersMethodsqrt

(&self)

src/vision/image/ndarray_image.rs:191

↓ 2 callersMethodsquare

(&self)

src/linalg/ndarray_matrix.rs:196

↓ 2 callersFunctionstablesoftmax_col

(col: &Matrix)

src/activation/softmax.rs:9

↓ 2 callersMethodtanh

(self)

src/model/full_dense_layer_model.rs:93

↓ 2 callersMethodto_binary_compressed

(&self, path: P)

src/network/params.rs:43

↓ 2 callersMethodto_json

(&self, path: P)

src/network/params.rs:31

↓ 2 callersMethodto_layer

(self, in_dims: usize)

src/model/conv_network_model.rs:56

↓ 2 callersMethodto_layer

(&self)

src/activation/mod.rs:84

↓ 2 callersMethodtransform_no_cache

( &mut self, mut dataset_table: DataTable, feature: &Feature, extracted_featur

src/preprocessing/feature_cached.rs:62

↓ 2 callersMethodupdate_parameters

( &mut self, epoch: usize, parameters: &Matrix, parameters_gradient: &Matrix,

src/optimizer/mod.rs:19

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