Functions — github.com/AnicetNgrt/jiro-nn

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Functions858 in github.com/AnicetNgrt/jiro-nn

⨍ Functions 858◇ Types & classes 90

↓ 2 callersMethodweights_init

(self, initializer: Initializers)

src/model/full_dense_layer_model.rs:229

↓ 2 callersMethodwrap

( &self, ox: usize, oy: usize, wx: usize, wy: usize, sx: usize

src/vision/image/ndarray_image.rs:51

↓ 1 callersMethod_add_task

(&mut self, thread_id: ThreadId, task: Task)

src/monitor/mod.rs:144

↓ 1 callersMethod_end_task

(&mut self, thread_id: ThreadId, end_message: Option<String>)

src/monitor/mod.rs:155

↓ 1 callersMethodaccept_conv_network

(mut self, layer: ConvNetworkModel)

src/model/network_model.rs:29

↓ 1 callersMethodaccept_full_direct

(mut self, model: FullDirectConvLayerModel)

src/model/conv_network_model.rs:43

↓ 1 callersMethodaccept_neural_network

(mut self, network: NetworkModel)

src/model/mod.rs:93

↓ 1 callersMethodappend_table_as_columns

(&self, table: &Self)

src/datatable.rs:72

↓ 1 callersMethodapply

(&self, data: &DataTable, corresponding_in: Vec<(Scalar, bool)>)

src/preprocessing/map.rs:80

↓ 1 callersMethodapply_bool

(&self, feature: &mut Feature, value: bool)

src/dataset.rs:410

↓ 1 callersMethodas_learnable_layer

(&self)

src/layer/full_layer.rs:90

↓ 1 callersMethodas_learnable_layer

(&self)

src/vision/conv_network.rs:63

↓ 1 callersMethodas_learnable_layer_mut

(&mut self)

src/layer/full_layer.rs:94

↓ 1 callersMethodas_learnable_layer_mut

(&mut self)

src/vision/conv_network.rs:67

↓ 1 callersMethodbackward

(&mut self, epoch: usize, error_gradient: Matrix)

src/network/mod.rs:227

↓ 1 callersMethodchannels

(&self)

src/vision/image/arrayfire_image.rs:316

↓ 1 callersMethodcolumn_to_ids

(&self, column: &str)

src/datatable.rs:496

↓ 1 callersMethodcompute_avg

(&mut self, trained_models: &Vec<Network>)

src/trainers/kfolds.rs:142

↓ 1 callersMethodcompute_best

(&mut self, model_eval: &ModelEvaluation, trained_models: &Vec<Network>)

src/trainers/kfolds.rs:117

↓ 1 callersFunctiondefault_beta1

()

src/vision/conv_optimizer/adam.rs:9

↓ 1 callersFunctiondefault_beta1

()

src/optimizer/adam.rs:8

↓ 1 callersFunctiondefault_beta2

()

src/vision/conv_optimizer/adam.rs:13

↓ 1 callersFunctiondefault_beta2

()

src/optimizer/adam.rs:12

↓ 1 callersFunctiondefault_epsilon

()

src/vision/conv_optimizer/adam.rs:17

↓ 1 callersFunctiondefault_epsilon

()

src/optimizer/adam.rs:16

↓ 1 callersMethoddenormalize_column

(&self, column: &str, min_max: (Scalar, Scalar))

src/datatable.rs:589

↓ 1 callersMethoddenormalize_data

(&self, data: &DataTable)

src/preprocessing/normalize.rs:29

↓ 1 callersFunctiondenormalize_vector

(vec: &Vec<Scalar>, min: Scalar, max: Scalar)

src/vec_utils.rs:166

↓ 1 callersFunctiondenormalize_vector2

(vec: &Vec<Vec<Scalar>>, min: Scalar, max: Scalar)

src/vec_utils.rs:184

↓ 1 callersMethoddim

returns the dimensions of the matrix (nrow, ncol)

src/linalg/nalgebra_matrix.rs:207

↓ 1 callersMethoddot

(&self, other: &Self)

src/linalg/nalgebra_matrix.rs:158

↓ 1 callersFunctionelapsed

(a: Instant, b: Instant)

src/monitor/mod.rs:296

↓ 1 callersMethodenable_dropout

(&mut self)

src/layer/full_layer.rs:116

↓ 1 callersMethodfilter_by_scalar_column

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

src/datatable.rs:351

↓ 1 callersMethodflatten

(&self)

src/vision/image/arrayfire_image.rs:303

↓ 1 callersMethodgen_matrix

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

src/initializers.rs:14

↓ 1 callersMethodgen_vector

(&self, nrow: usize)

src/initializers.rs:26

↓ 1 callersMethodgenerate_dropout_mask

(&mut self, output_shape: (usize, usize))

src/layer/full_layer.rs:32

↓ 1 callersMethodgenerate_dropout_mask

( &mut self, kern_size: (usize, usize, usize), nkern: usize, )

src/vision/conv_layer/full_conv_layer.rs:38

↓ 1 callersMethodget_cached_feature

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

src/preprocessing/feature_cached.rs:47

↓ 1 callersMethodget_column

(&self, name: &str)

src/datatable.rs:131

↓ 1 callersMethodget_column

(&self, index: usize)

src/linalg/nalgebra_matrix.rs:127

↓ 1 callersMethodget_column

(&self, idx: usize)

src/linalg/arrayfire_matrix.rs:158

↓ 1 callersMethodget_data_col_leading

(&self)

src/linalg/arrayfire_matrix.rs:227

↓ 1 callersMethodget_extracted_features_mut

(&mut self)

src/dataset.rs:265

↓ 1 callersMethodget_final_r2

(&self)

src/benchmarking.rs:129

↓ 1 callersMethodget_learnable_parameters

returns a matrix of the (jxi) weights and the final column being the (j) biases

src/layer/full_layer.rs:105

↓ 1 callersMethodget_name

(&self)

src/preprocessing/map.rs:215

↓ 1 callersMethodget_row

(&self, idx: usize)

src/linalg/arrayfire_matrix.rs:169

↓ 1 callersMethodget_sample

(&self, sample: usize)

src/vision/image/ndarray_image.rs:135

↓ 1 callersMethodindex

(&self, row: usize, col: usize)

src/linalg/nalgebra_matrix.rs:227

↓ 1 callersMethodindex_mut

(&mut self, row: usize, col: usize)

src/linalg/nalgebra_matrix.rs:231

↓ 1 callersMethodlisten

(mut self, rx: Receiver<Messages>)

src/monitor/mod.rs:206

↓ 1 callersMethodloss_vec

(&self, y_true: &Vec<Vec<Scalar>>, y_pred: &Vec<Vec<Scalar>>)

src/loss/mod.rs:48

↓ 1 callersMethodmap

(&self, _f: impl Fn(Scalar) -> Scalar + Sync)

src/linalg/arrayfire_matrix.rs:188

↓ 1 callersMethodmax

(&self)

src/linalg/nalgebra_matrix.rs:271

↓ 1 callersFunctionmax_vector

(vec: &Vec<Scalar>)

src/vec_utils.rs:133

↓ 1 callersFunctionmax_vector2

(vec: &Vec<Vec<Scalar>>)

src/vec_utils.rs:143

↓ 1 callersMethodmean_along

(&self, dim: usize)

src/vision/image/ndarray_image.rs:171

↓ 1 callersMethodmin

(&self)

src/linalg/nalgebra_matrix.rs:275

↓ 1 callersMethodmin_max_column

(&self, column: &str)

src/datatable.rs:553

↓ 1 callersFunctionmin_vector2

(vec: &Vec<Vec<Scalar>>)

src/vec_utils.rs:121

↓ 1 callersMethodnormalize_column

(&self, column: &str, min_max: (Scalar, Scalar))

src/datatable.rs:566

↓ 1 callersFunctionnormalize_vector

(vec: &Vec<Scalar>)

src/vec_utils.rs:159

↓ 1 callersFunctionnormalize_vector2

(vec: &Vec<Vec<Scalar>>)

src/vec_utils.rs:171

↓ 1 callersMethodparallel_k_fold

( &mut self, i: usize, model: &Model, data: &DataTable, preds_and_ids:

src/trainers/kfolds.rs:253

↓ 1 callersMethodpredict

`input` has shape `(i,)` where `i` is the number of inputs.

src/network/mod.rs:44

↓ 1 callersFunctionremaining_duration

(objective: Duration, elapsed: Duration)

src/monitor/mod.rs:304

↓ 1 callersMethodreverse_columnswise

(&mut self, data: &DataTable)

src/preprocessing/map.rs:208

↓ 1 callersMethodscalar_add

(&self, scalar: Scalar)

src/linalg/ndarray_matrix.rs:172

↓ 1 callersMethodscalar_add

(&self, scalar: Scalar)

src/linalg/arrayfire_matrix.rs:248

↓ 1 callersMethodscalar_add

(&self, scalar: Scalar)

src/vision/image/arrayfire_image.rs:278

↓ 1 callersMethodscalar_add

(&self, scalar: Scalar)

src/vision/image/ndarray_image.rs:95

↓ 1 callersMethodscalar_mul

(&self, scalar: Scalar)

src/linalg/arrayfire_matrix.rs:252

↓ 1 callersMethodscalar_mul

(&self, scalar: Scalar)

src/vision/image/arrayfire_image.rs:286

↓ 1 callersMethodscalar_sub

(&self, scalar: Scalar)

src/linalg/ndarray_matrix.rs:180

↓ 1 callersMethodsequential_k_fold

( &mut self, i: usize, model: &Model, data: &DataTable, preds_and_ids:

src/trainers/kfolds.rs:155

↓ 1 callersMethodset_learnable_parameters

takes a matrix of the (jxi) weights and the final column being the (j) biases

src/layer/full_layer.rs:110

↓ 1 callersMethodset_parent

(mut self, parent: ModelBuilder)

src/model/network_model.rs:20

↓ 1 callersFunctionshuffle_column

(vec: &mut Vec<Vec<T>>, col: usize)

src/vec_utils.rs:23

↓ 1 callersFunctionsigmoid

(m: &Image)

src/vision/conv_activation/sigmoid.rs:4

↓ 1 callersFunctionsigmoid

(m: &Matrix)

src/activation/sigmoid.rs:4

↓ 1 callersMethodsign

(&self)

src/linalg/ndarray_matrix.rs:223

↓ 1 callersMethodsign

(&self)

src/vision/image/ndarray_image.rs:183

↓ 1 callersMethodsplit_ratio

(&self, ratio: Scalar)

src/datatable.rs:410

↓ 1 callersMethodsqrt

(&self)

src/vision/image/arrayfire_image.rs:427

↓ 1 callersMethodsquare

(&self)

src/vision/image/ndarray_image.rs:159

↓ 1 callersMethodtake_model

(&mut self)

src/trainers/split.rs:40

↓ 1 callersFunctiontanh

(m: &Image)

src/vision/conv_activation/tanh.rs:4

↓ 1 callersFunctiontanh

(m: &Matrix)

src/activation/tanh.rs:4

↓ 1 callersMethodto_conv_layer

(self, in_img_dims: usize, in_channels: usize)

src/model/conv_network_model.rs:85

↓ 1 callersMethodto_layer

(self, in_dims: usize)

src/model/network_model.rs:79

↓ 1 callersMethodtransform

( &mut self, cached_config: &CachedConfig, dataset_config: &Dataset, data: &Da

src/preprocessing/map.rs:163

↓ 1 callersMethodtranspose

(&self)

src/linalg/arrayfire_matrix.rs:223

↓ 1 callersMethodwith_autoincrement_id_column

(&self, name: &str)

src/datatable.rs:111

↓ 1 callersMethodwith_column_string

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

src/datatable.rs:167

↓ 1 callersMethodwith_replaced_feature

Create a new dataset with a feature replaced.

src/dataset.rs:85

↓ 1 callersMethodwithout_feature

(&self, feature_name: String)

src/dataset.rs:76

Method_get_current_task

(&mut self, thread_id: ThreadId)

src/monitor/mod.rs:201

Method_update_current_task

(&mut self, thread_id: ThreadId, task: Task)

src/monitor/mod.rs:149

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