List of all items
Structs
- bandit::ArmStats
- bandit::EpsilonGreedy
- bandit::EpsilonGreedyConfig
- bandit::LinUcb
- bandit::LinUcbConfig
- bandit::ThompsonConfig
- bandit::ThompsonSampling
- bandit::Ucb1
- bandit::Ucb1Config
- diagnostics::BaselineComparator
- diagnostics::ComparatorEntry
- diagnostics::ModelHealthReport
- diagnostics::OnlineModelSelector
- diagnostics::PredictionInterval
- diagnostics::PredictionReport
- diagnostics::PredictionReporter
- diagnostics::ResidualInterval
- diagnostics::ResidualIntervalConfig
- diagnostics::SelectorConfig
- diagnostics::TrainingSummary
- diagnostics::TrainingSummaryConfig
- diagnostics::WarmupConfig
- diagnostics::WarmupTracker
- drift::Adwin
- drift::AdwinConfig
- drift::DriftAwareModel
- drift::DriftEvent
- drift::FixedWindowBuffer
- drift::Kswin
- drift::KswinConfig
- drift::LearningRateScheduler
- drift::PageHinkley
- drift::PageHinkleyConfig
- drift::StaticStrategy
- drift::TimeDecayedMean
- evaluate::BinaryClassificationSample
- evaluate::ProgressiveStep
- evaluate::RegressionSample
- feature_hasher::FeatureHasher
- feature_hasher::FeatureHasherConfig
- loss::BinaryLogLoss
- loss::HuberLoss
- loss::SquaredError
- metrics::Accuracy
- metrics::F1Score
- metrics::LogLoss
- metrics::Mae
- metrics::Mse
- metrics::Precision
- metrics::R2
- metrics::Recall
- metrics::Rmse
- metrics::RollingAccuracy
- metrics::RollingMae
- metrics::RollingMse
- models::BaselineConfig
- models::BernoulliNaiveBayes
- models::ExponentiallyWeightedMeanRegressor
- models::FtrlClassifier
- models::FtrlConfig
- models::FtrlRegressor
- models::GaussianNaiveBayes
- models::LastValueRegressor
- models::LinearRegression
- models::LinearRegressionConfig
- models::LogisticRegression
- models::LogisticRegressionConfig
- models::MeanRegressor
- models::MultinomialNaiveBayes
- models::NaiveBayesConfig
- optim::AdaGrad
- optim::AdaGradConfig
- optim::Sgd
- optim::SgdConfig
- persistence::Snapshot
- pipeline::ClassificationPipeline
- pipeline::RegressionPipeline
- preprocessing::Clipper
- preprocessing::ConstantImputer
- preprocessing::ConstantImputerConfig
- preprocessing::ForwardFill
- preprocessing::FrequencyEncoder
- preprocessing::MeanImputer
- preprocessing::MinMaxScaler
- preprocessing::MissingIndicator
- preprocessing::OneHotEncoder
- preprocessing::OrdinalEncoder
- preprocessing::StandardScaler
- preprocessing::StandardScalerConfig
- sparse::SparseFeatures
- stats::Count
- stats::ExponentiallyWeightedMean
- stats::Max
- stats::Mean
- stats::Min
- stats::RollingMean
- stats::RollingVariance
- stats::Sum
- stats::Variance
Enums
- diagnostics::Confidence
- diagnostics::SwitchReason
- diagnostics::WarmupState
- drift::DriftAction
- drift::DriftLevel
- error::RillError
- loss::RegressionLoss
- models::NewFeaturePolicy
- optim::Optimizer
- stats::VarianceKind
Traits
- bandit::Bandit
- bandit::ContextualBandit
- drift::DriftDetector
- drift::DriftStrategy
- persistence::ValidateState
- traits::Metric
- traits::OnlineBinaryClassifier
- traits::OnlineRegressor
- traits::OnlineStatistic
- traits::SparseClassifier
- traits::SparseRegressor
- traits::Transformer
Functions
- evaluate::evaluate_binary_classification
- evaluate::evaluate_regression
- evaluate::evaluate_regression_with_steps