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Here is a list of all class members with links to the classes they belong to:
- m -
- m : opennn::matmul::cudnn::Problem
- magic : opennn::yolo_detail::YoloBoxesCacheHeader, opennn::yolo_detail::YoloImageCacheHeader, opennn::yolo_detail::YoloTargetCacheHeader
- make_array() : opennn::Json
- make_co_planned_lifetimes() : opennn::BackPropagation
- make_gradient_co_planned_lifetimes() : opennn::BackPropagation
- make_object() : opennn::Json
- map() : opennn::FileMapping
- mapping : opennn::CsvReader::Result
- mark_parameters_changed() : opennn::Network
- mask_slot : opennn::DropoutOperator
- master_weights : opennn::PrecisionPlan
- Max : opennn::Pool3dOperator, opennn::PoolOperator
- MAX_GT_BOXES : opennn::YoloDataset
- max_pool_geometry() : opennn::PoolOperator
- max_range : opennn::FeatureScaling, opennn::ScaleOperator, opennn::Scaling, opennn::TabularDataset::TrainingTransform
- maximum : opennn::BoxPlot, opennn::Descriptives, opennn::Evaluation::ReconstructionErrorStatistics
- maximum_consecutive_failures : opennn::ResponseOptimization
- maximum_epochs : opennn::Optimizer, opennn::SelectionAlgorithm
- maximum_time : opennn::Optimizer, opennn::SelectionAlgorithm
- maximum_tokens : opennn::SamplingConfig
- maximum_validation_failures : opennn::Optimizer, opennn::SelectionAlgorithm
- maximum_vocabulary_size : opennn::TextDataset::Options
- maximums : opennn::Histogram, opennn::ScaleOperator
- MaxRank : opennn::Shape
- mean : opennn::Descriptives, opennn::Evaluation::ReconstructionErrorStatistics
- mean_training_error_history : opennn::InputSelectionResult
- mean_validation_error_history : opennn::InputSelectionResult
- means : opennn::ScaleOperator
- median : opennn::BoxPlot
- merge_ranks : opennn::BytePairTokenizer
- message : opennn::StoppingCheck< Condition >
- Method : opennn::ClampingOperator, opennn::Correlation, opennn::Pool3dOperator, opennn::PoolOperator
- method : opennn::ClampingOperator, opennn::Correlation, opennn::LayerNormalizationOperator, opennn::Pool3dOperator, opennn::PoolOperator
- metrics : opennn::BackPropagation
- migrate_to() : opennn::Buffer
- min_range : opennn::FeatureScaling, opennn::ScaleOperator, opennn::Scaling, opennn::TabularDataset::TrainingTransform
- minimum : opennn::BoxPlot, opennn::Descriptives, opennn::Evaluation::ReconstructionErrorStatistics
- minimum_loss_decrease : opennn::Optimizer::FullBatchHooks
- minimum_token_frequency : opennn::TextDataset::Options
- minimums : opennn::Histogram, opennn::ScaleOperator
- minkowski_parameter : opennn::Loss
- missing_values_from_JSON() : opennn::Dataset, opennn::TabularDataset
- missing_values_label : opennn::TabularDataset
- missing_values_method : opennn::TabularDataset
- missing_values_number : opennn::TabularDataset
- missing_values_to_JSON() : opennn::TabularDataset
- MissingValuesMethod : opennn::TabularDataset
- mode : opennn::ForwardPropagation
- model : opennn::BertForSequenceClassification::Pretrained
- ModelExpression() : opennn::ModelExpression
- ModelSelection() : opennn::ModelSelection
- ModelSize : opennn::Yolo
- momentum : opennn::BatchNormalizationOperator
- mosaic : opennn::YoloDataset::AugmentationPolicy
- multi_optimization() : opennn::ResponseOptimization
- multi_target : opennn::TabularDataset
- MultiHeadAttention() : opennn::MultiHeadAttention
