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Types & classes45 in github.com/Raibows/MLinRust

⨍ Functions 205◇ Types & classes 45

ClassBatchIterator

src/dataset/dataloader.rs:16

ClassBruteForceSearch

src/model/knn.rs:186

ClassCrossEntropyLoss

cross entropy loss, as a special nn module loss: records of each sample in a forward call avg_loss: avg loss of the batch

src/model/nn/criterion.rs:6

ClassDataloader

src/dataset/dataloader.rs:8

src/dataset/mod.rs:28

InterfaceDatasetBorrowTrait

dataset, &dataset or &mut dataset

src/dataset/dataloader.rs:33

ClassDatasetIterator

src/dataset/mod.rs:34

EnumDatasetName

src/dataset/mod.rs:16

ClassDecisionTree

src/model/decision_tree.rs:29

InterfaceEvaluateArgTrait

Trait for &Dataset<T> &mut Dataloader<T, &Dataset<T>> pass a dataloader will reduce the construction and enable batch prediction

src/utils.rs:12

InterfaceFromPathDataset

src/dataset/mod.rs:69

Impute the missing value with Mean value Zero given Value

src/dataset/utils.rs:10

src/model/decision_tree.rs:12

src/model/knn.rs:53

ClassKMeansClustering

src/model/kmeans.rs:4

src/model/knn.rs:9

InterfaceKNNInterface

src/model/knn.rs:60

KNN implemented by [KDTree](https://en.wikipedia.org/wiki/K-nearest_neighbors_algorithm) or BruteForceSearch

src/model/knn.rs:283

EnumKNNWeighting

src/model/knn.rs:17

src/model/knn.rs:45

Linear is a nn module, similar to torch.nn.Linear

src/model/nn/linear.rs:7

ClassLinearRegression

src/model/linear_regression.rs:4

ClassLogisticRegression

src/model/logistic_regression.rs:4

ClassMeanSquaredError

mean squared error, as a special nn module loss: records of each sample in a forward call avg_loss: avg loss of the batch

src/model/nn/criterion.rs:40

An interface for implementing prediction function of each model

src/model/mod.rs:13

InterfaceNNBackPropagation

src/model/nn/mod.rs:10

src/model/nn/mod.rs:39

ClassNaiveBayes

src/model/naive_bayes.rs:14

src/ndarray/mod.rs:12

InterfaceNdArrayMultiplyTrait

src/ndarray/ops.rs:271

InterfaceNdArrayNewTrait

src/ndarray/mod.rs:17

ClassNeuralNetwork

src/model/nn/mod.rs:48

src/model/decision_tree.rs:19

src/model/utils.rs:33

src/model/utils.rs:26

EnumProbFeatureType

src/model/naive_bayes.rs:8

ClassQueryRecord

src/model/knn.rs:23

ClassRandGenerator

src/utils.rs:84

InterfaceRandRangeTrait

src/utils.rs:91

InterfaceReshapeTrait

src/ndarray/mod.rs:21

src/model/svm.rs:11

scaler for data normalization

src/dataset/utils.rs:68

ClassSupportVectorMachine

src/model/svm.rs:17

InterfaceTaskConditionedReturn

src/model/decision_tree.rs:36

InterfaceTaskLabelType

src/dataset/mod.rs:65