Functions — github.com/AnicetNgrt/jiro-nn

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Functions858 in github.com/AnicetNgrt/jiro-nn

⨍ Functions 858◇ Types & classes 90

↓ 207 callersMethodunwrap

(&self, wx: usize, wy: usize, sx: usize, sy: usize, px: usize, py: usize)

src/vision/image/ndarray_image.rs:65

↓ 206 callersFunctionnew

()

src/loss/mse.rs:24

↓ 105 callersMethodpush

(&mut self, transformation: DT)

src/preprocessing/mod.rs:96

↓ 53 callersMethodmap

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

src/linalg/ndarray_matrix.rs:118

↓ 51 callersMethodunwrap

(&self, wx: usize, wy: usize, sx: usize, sy: usize, px: usize, py: usize)

src/vision/image/arrayfire_image.rs:179

↓ 36 callersMethoddim

(&self)

src/linalg/ndarray_matrix.rs:168

↓ 31 callersMethodimage_dims

(&self)

src/vision/image/ndarray_image.rs:123

↓ 29 callersFunctionnew

()

src/vision/conv_activation/relu.rs:4

↓ 20 callersMethodend

()

src/monitor/mod.rs:277

↓ 19 callersMethodchannels

(&self)

src/vision/image/ndarray_image.rs:127

↓ 18 callersMethodtag_feature

The `tag_feature` is a way to tag a configurationific dataset's feature with a `FeatureTags`, in order to configurationify its properties and preproce

src/dataset.rs:158

↓ 16 callersMethodcolumn_to_vector

(&self, column: &str)

src/datatable.rs:492

↓ 15 callersMethodcomponent_sub

(&self, other: &Self)

src/linalg/ndarray_matrix.rs:139

↓ 15 callersMethodto_vectors

Returns a vector of vectors where each vector is a row of the dataset

src/datatable.rs:431

↓ 14 callersMethodfull_dense

(self, size: usize)

src/model/network_model.rs:34

↓ 14 callersMethodmap

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

src/linalg/nalgebra_matrix.rs:154

↓ 14 callersMethodrun

(&mut self, model: &Model, data: &DataTable)

src/trainers/split.rs:83

↓ 13 callersMethodsamples

(&self)

src/vision/image/ndarray_image.rs:131

↓ 12 callersFunctionconv_sgd

()

src/vision/conv_optimizer/mod.rs:43

↓ 12 callersMethoddrop_column

(&self, column: &str)

src/datatable.rs:512

↓ 12 callersFunctionprint_mat

(m: &Matrix)

src/bin/test_backend.rs:5

↓ 12 callersMethodrevert

(&mut self, data: &DataTable)

src/preprocessing/mod.rs:177

↓ 12 callersMethodsamples

(&self)

src/vision/image/arrayfire_image.rs:320

↓ 12 callersMethodscalar_mul

(&self, scalar: Scalar)

src/linalg/ndarray_matrix.rs:176

↓ 12 callersMethodscalar_mul

(&self, scalar: Scalar)

src/vision/image/ndarray_image.rs:103

↓ 11 callersMethodmin

(&self)

src/linalg/ndarray_matrix.rs:250

↓ 11 callersMethodsqrt

(&self)

src/linalg/ndarray_matrix.rs:242

↓ 10 callersMethodload_data

(&mut self, dataset_path: P, dataset_config: Option<&Dataset>)

src/preprocessing/mod.rs:111

↓ 10 callersMethodprint

(&self)

src/linalg/ndarray_matrix.rs:256

↓ 10 callersMethodto_loss

(&self)

src/loss/mod.rs:17

↓ 9 callersMethodcomponent_add

(&self, other: &Self)

src/linalg/ndarray_matrix.rs:135

↓ 9 callersMethodcomponent_mul

(&self, other: &Self)

src/linalg/ndarray_matrix.rs:131

↓ 9 callersMethoddot

(&self, other: &Self)

src/linalg/ndarray_matrix.rs:122

↓ 9 callersMethodget_channel_across_samples

(&self, channel: usize)

src/vision/image/ndarray_image.rs:143

↓ 9 callersMethodimage_dims

(&self)

src/vision/image/arrayfire_image.rs:308

↓ 9 callersMethodtag_all

The `tag_all` method adds a `FeatureTags` to all features in the dataset.

src/dataset.rs:168

↓ 8 callersMethodadam

(self)

src/model/full_dense_layer_model.rs:161

↓ 8 callersMethodbiases_init

(self, initializer: Initializers)

src/model/full_dense_layer_model.rs:219

↓ 8 callersMethodbiases_init

(self, initializer: ConvInitializers)

src/model/full_dense_conv_layer_model.rs:227

↓ 8 callersMethodbiases_init

(self, initializer: ConvInitializers)

src/model/full_direct_conv_layer_model.rs:224

↓ 8 callersMethodcomponent_add

(&self, other: &Self)

src/vision/image/ndarray_image.rs:79

↓ 8 callersMethodflatten

(&self)

src/vision/image/ndarray_image.rs:119

↓ 8 callersMethodget_sample

(&self, sample: usize)

src/vision/image/arrayfire_image.rs:324

↓ 8 callersMethodpredicted_features_names

Return the names of the features that are configurationified as outputs.

src/dataset.rs:117

↓ 8 callersMethodrelu

(self)

src/model/full_dense_layer_model.rs:85

↓ 8 callersMethodto_csv_file

(&self, path: P)

src/datatable.rs:303

↓ 8 callersMethodto_network

(&self)

src/model/mod.rs:156

↓ 7 callersMethodexcept

Applies the feature tag to all features except some features.

src/dataset.rs:396

↓ 7 callersMethodmax

(&self)

src/linalg/ndarray_matrix.rs:246

↓ 7 callersFunctionr2_score_vector2

(y: &Vec<Vec<Scalar>>, y_hat: &Vec<Vec<Scalar>>)

src/vec_utils.rs:34

↓ 7 callersMethodrandom_order_in_out

(&self, out_columns: &[S])

src/datatable.rs:528

↓ 7 callersFunctionsgd

()

src/optimizer/mod.rs:41

↓ 6 callersMethodcomponent_div

(&self, other: &Self)

src/linalg/ndarray_matrix.rs:143

↓ 6 callersMethodcomponent_sub

(&self, other: &Self)

src/vision/image/ndarray_image.rs:83

↓ 6 callersFunctionconv_adam

()

src/vision/conv_optimizer/mod.rs:39

↓ 6 callersFunctionconv_momentum

()

src/vision/conv_optimizer/mod.rs:47

↓ 6 callersFunctiondefault_learning_rate

()

src/learning_rate/mod.rs:9

↓ 6 callersMethodget_column

(&self, idx: usize)

src/linalg/ndarray_matrix.rs:100

↓ 6 callersMethodget_column_as_matrix

(&self, idx: usize)

src/linalg/ndarray_matrix.rs:95

↓ 6 callersMethodget_data_col_leading

(&self)

src/linalg/ndarray_matrix.rs:152

↓ 6 callersMethodget_learning_rate

(&self, epoch: usize)

src/learning_rate/mod.rs:22

↓ 6 callersMethodinner_join

( &self, table: &Self, left_on: &str, right_on: &str, prefix: Option<&

src/datatable.rs:78

↓ 6 callersMethodscalar_div

(&self, scalar: Scalar)

src/linalg/ndarray_matrix.rs:184

↓ 6 callersMethodselect_columns

(&self, columns: &[S])

src/datatable.rs:524

↓ 6 callersMethodsum_samples

(&self)

src/vision/image/ndarray_image.rs:147

↓ 6 callersMethodto_json_file

(&self, file_name: S)

src/model/mod.rs:130

↓ 5 callersMethodactivation

(self, activation: Activation)

src/model/full_dense_layer_model.rs:75

↓ 5 callersMethodadd_column_from

(&self, other: &Self, column: &str)

src/datatable.rs:67

↓ 5 callersMethodapply

Applies the feature tag to the feature.

src/dataset.rs:391

↓ 5 callersFunctionavg_vector

(vec: &Vec<Scalar>)

src/vec_utils.rs:5

↓ 5 callersMethodbuild

(self)

src/model/mod.rs:98

↓ 5 callersMethodcomponent_mul

(&self, other: &Self)

src/vision/image/ndarray_image.rs:87

↓ 5 callersMethoddf

(&self)

src/datatable.rs:623

↓ 5 callersMethodget_data_row_leading

(&self)

src/linalg/ndarray_matrix.rs:160

↓ 5 callersMethodhas_column

(&self, name: &str)

src/datatable.rs:40

↓ 5 callersMethodincl_added_features

Applies the feature tag to all features and their extracted features.

src/dataset.rs:406

↓ 5 callersMethodloss

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

src/loss/mod.rs:40

↓ 5 callersFunctionnew

()

src/activation/relu.rs:4

↓ 5 callersMethodpredict_evaluate_many

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

src/network/mod.rs:111

↓ 5 callersMethodrename_column

(&self, old: &str, new: &str)

src/datatable.rs:619

↓ 5 callersMethodsample

(&self, n: Option<usize>, shuffle: bool)

src/datatable.rs:317

↓ 5 callersMethodsplit

(&self, n_head: usize, n_tail: usize)

src/datatable.rs:325

↓ 5 callersFunctionvectors_correlation

(vec1: &[Scalar], vec2: &[Scalar])

src/vec_utils.rs:191

↓ 5 callersMethodwith_new_dataset

(&mut self, dataset: Dataset)

src/model/mod.rs:149

↓ 4 callersMethod_get_stack_or_create

(&mut self, thread_id: ThreadId)

src/monitor/mod.rs:137

↓ 4 callersMethodactivation

(self, activation: ConvActivation)

src/model/full_dense_conv_layer_model.rs:87

↓ 4 callersMethodactivation

(self, activation: ConvActivation)

src/model/full_direct_conv_layer_model.rs:84

↓ 4 callersMethodadd_epoch

(&mut self, epoch: EpochEvaluation)

src/benchmarking.rs:113

↓ 4 callersMethodadd_fold

(&mut self, fold: TrainingEvaluation)

src/benchmarking.rs:30

↓ 4 callersMethodapppend

(&self, lines: &DataTable)

src/datatable.rs:48

↓ 4 callersMethodas_dropout_layer

(&mut self)

src/layer/full_layer.rs:98

↓ 4 callersMethodavg_pooling

(mut self, kernel_size: usize)

src/model/conv_network_model.rs:33

↓ 4 callersMethodbatch_size

(self, batch_size: usize)

src/model/mod.rs:79

↓ 4 callersMethodbiases_optimizer

(self, optimizer: Optimizers)

src/model/full_dense_layer_model.rs:199

↓ 4 callersMethodbiases_optimizer

(self, optimizer: ConvOptimizers)

src/model/full_dense_conv_layer_model.rs:207

↓ 4 callersMethodbiases_optimizer

(self, optimizer: ConvOptimizers)

src/model/full_direct_conv_layer_model.rs:204

↓ 4 callersMethodcross_correlate

(&self, kernels: &Self)

src/vision/image/ndarray_image.rs:111

↓ 4 callersMethoddim

returns the dimensions of the matrix (nrow, ncol)

src/linalg/arrayfire_matrix.rs:244

↓ 4 callersMethoddropout

(self, dropout: f32)

src/model/full_dense_layer_model.rs:65

↓ 4 callersMethodepochs

(self, epochs: usize)

src/model/mod.rs:69

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