gluonts.mx package

Subpackages

• gluonts.mx.block package
  • Submodules
    • gluonts.mx.block.cnn module
      • CausalConv1D
      • DilatedCausalGated
      • ResidualSequential
    • gluonts.mx.block.decoder module
      • ForkingMLPDecoder
      • OneShotDecoder
      • Seq2SeqDecoder
    • gluonts.mx.block.dropout module
      • RNNZoneoutCell
      • VariationalZoneoutCell
    • gluonts.mx.block.enc2dec module
      • FutureFeatIntegratorEnc2Dec
      • PassThroughEnc2Dec
      • Seq2SeqEnc2Dec
    • gluonts.mx.block.encoder module
      • HierarchicalCausalConv1DEncoder
      • MLPEncoder
      • RNNCovariateEncoder
      • RNNEncoder
      • Seq2SeqEncoder
    • gluonts.mx.block.feature module
      • FeatureAssembler
      • FeatureEmbedder
    • gluonts.mx.block.mlp module
      • MLP
    • gluonts.mx.block.quantile_output module
      • IncrementalDenseLayerProjection
      • IncrementalQuantileOutput
      • QuantileLoss
      • QuantileOutput
      • crps_weights_pwl()
      • uniform_weights()
    • gluonts.mx.block.regularization module
      • ActivationRegularizationLoss
      • TemporalActivationRegularizationLoss
    • gluonts.mx.block.rnn module
      • RNN
    • gluonts.mx.block.scaler module
      • MeanScaler
      • MinMax
      • NOPScaler
      • Scaler
    • gluonts.mx.block.sndense module
      • SNDense
    • gluonts.mx.block.snmlp module
      • SNMLPBlock
      • jacobian_sn_mlp_block_bf()
• gluonts.mx.distribution package
  • Beta
    • Beta.F
    • Beta.args
    • Beta.batch_shape
    • Beta.event_dim
    • Beta.event_shape
    • Beta.is_reparameterizable
    • Beta.log_prob()
    • Beta.mean
    • Beta.sample()
    • Beta.stddev
    • Beta.variance
  • BetaOutput
    • BetaOutput.args_dim
    • BetaOutput.distr_cls
    • BetaOutput.domain_map()
    • BetaOutput.event_shape
    • BetaOutput.value_in_support
  • Binned
    • Binned.F
    • Binned.args
    • Binned.batch_shape
    • Binned.bin_probs
    • Binned.cdf()
    • Binned.event_dim
    • Binned.event_shape
    • Binned.is_reparameterizable
    • Binned.log_prob()
    • Binned.loss()
    • Binned.mean
    • Binned.quantile()
    • Binned.sample()
    • Binned.smooth_ce_loss()
    • Binned.stddev
    • Binned.support_min_max
  • BinnedOutput
    • BinnedOutput.distr_cls
    • BinnedOutput.distribution()
    • BinnedOutput.event_shape
    • BinnedOutput.get_args_proj()
  • BoxCoxTransformOutput
    • BoxCoxTransformOutput.args_dim
    • BoxCoxTransformOutput.bij_cls
    • BoxCoxTransformOutput.domain_map()
    • BoxCoxTransformOutput.event_shape
  • Categorical
    • Categorical.F
    • Categorical.args
    • Categorical.batch_shape
    • Categorical.event_dim
    • Categorical.event_shape
    • Categorical.log_prob()
    • Categorical.mean
    • Categorical.probs
    • Categorical.sample()
    • Categorical.stddev
  • CategoricalOutput
    • CategoricalOutput.distr_cls
    • CategoricalOutput.distribution()
    • CategoricalOutput.domain_map()
    • CategoricalOutput.event_shape
  • Deterministic
    • Deterministic.F
    • Deterministic.args
    • Deterministic.batch_shape
    • Deterministic.cdf()
    • Deterministic.event_dim
    • Deterministic.event_shape
    • Deterministic.is_reparameterizable
    • Deterministic.log_prob()
    • Deterministic.mean
    • Deterministic.quantile()
    • Deterministic.sample()
    • Deterministic.stddev
  • DeterministicOutput
    • DeterministicOutput.args_dim
    • DeterministicOutput.distr_cls
    • DeterministicOutput.event_shape
    • DeterministicOutput.get_args_proj()
  • Dirichlet
    • Dirichlet.F
    • Dirichlet.args
    • Dirichlet.batch_shape
    • Dirichlet.event_dim
    • Dirichlet.event_shape
    • Dirichlet.is_reparameterizable
    • Dirichlet.log_prob()
    • Dirichlet.mean
    • Dirichlet.sample()
    • Dirichlet.variance
  • DirichletMultinomial
    • DirichletMultinomial.F
    • DirichletMultinomial.batch_shape
    • DirichletMultinomial.event_dim
    • DirichletMultinomial.event_shape
    • DirichletMultinomial.is_reparameterizable
    • DirichletMultinomial.log_prob()
    • DirichletMultinomial.mean
    • DirichletMultinomial.sample()
    • DirichletMultinomial.variance
  • DirichletMultinomialOutput
    • DirichletMultinomialOutput.distribution()
    • DirichletMultinomialOutput.domain_map()
    • DirichletMultinomialOutput.event_shape
  • DirichletOutput
    • DirichletOutput.distribution()
    • DirichletOutput.domain_map()
    • DirichletOutput.event_shape
  • Distribution
    • Distribution.F
    • Distribution.all_dim
    • Distribution.arg_names
    • Distribution.args
    • Distribution.batch_dim
    • Distribution.batch_shape
    • Distribution.cdf()
    • Distribution.crps()
    • Distribution.event_dim
    • Distribution.event_shape
    • Distribution.is_reparameterizable
    • Distribution.log_prob()
    • Distribution.loss()
    • Distribution.mean
    • Distribution.prob()
    • Distribution.quantile()
    • Distribution.sample()
    • Distribution.sample_rep()
    • Distribution.slice_axis()
    • Distribution.stddev
    • Distribution.support_min_max
    • Distribution.variance
  • DistributionOutput
    • DistributionOutput.distr_cls
    • DistributionOutput.distribution()
    • DistributionOutput.domain_map()
    • DistributionOutput.event_dim
    • DistributionOutput.event_shape
    • DistributionOutput.value_in_support
  • EmpiricalDistribution
    • EmpiricalDistribution.F
    • EmpiricalDistribution.batch_shape
    • EmpiricalDistribution.cdf()
    • EmpiricalDistribution.crps_univariate()
    • EmpiricalDistribution.event_dim
    • EmpiricalDistribution.event_shape
    • EmpiricalDistribution.loss()
    • EmpiricalDistribution.mean
    • EmpiricalDistribution.quantile()
    • EmpiricalDistribution.quantile_losses()
    • EmpiricalDistribution.sample()
    • EmpiricalDistribution.stddev
  • EmpiricalDistributionOutput
    • EmpiricalDistributionOutput.distribution()
    • EmpiricalDistributionOutput.domain_map()
    • EmpiricalDistributionOutput.event_shape
    • EmpiricalDistributionOutput.get_args_proj()
  • FixedKnotsPiecewiseLinearOutput
    • FixedKnotsPiecewiseLinearOutput.distr_cls
    • FixedKnotsPiecewiseLinearOutput.domain_map()
    • FixedKnotsPiecewiseLinearOutput.get_args_proj()
  • Gamma
    • Gamma.F
    • Gamma.args
    • Gamma.batch_shape
    • Gamma.event_dim
    • Gamma.event_shape
    • Gamma.is_reparameterizable
    • Gamma.log_prob()
    • Gamma.mean
    • Gamma.sample()
    • Gamma.stddev
  • GammaOutput
    • GammaOutput.args_dim
    • GammaOutput.distr_cls
    • GammaOutput.domain_map()
    • GammaOutput.event_shape
    • GammaOutput.value_in_support
  • Gaussian
    • Gaussian.F
    • Gaussian.args
    • Gaussian.batch_shape
    • Gaussian.cdf()
    • Gaussian.event_dim
    • Gaussian.event_shape
    • Gaussian.fit()
    • Gaussian.is_reparameterizable
    • Gaussian.log_prob()
    • Gaussian.mean
    • Gaussian.quantile()
    • Gaussian.sample()
    • Gaussian.sample_rep()
    • Gaussian.stddev
  • GaussianOutput
    • GaussianOutput.args_dim
    • GaussianOutput.distr_cls
    • GaussianOutput.domain_map()
    • GaussianOutput.event_shape
  • GenPareto
    • GenPareto.F
    • GenPareto.args
    • GenPareto.batch_shape
    • GenPareto.cdf()
    • GenPareto.event_dim
    • GenPareto.event_shape
    • GenPareto.is_reparameterizable
    • GenPareto.log_prob()
    • GenPareto.mean
    • GenPareto.quantile()
    • GenPareto.sample()
    • GenPareto.stddev
    • GenPareto.support_min_max
    • GenPareto.variance
  • GenParetoOutput
    • GenParetoOutput.args_dim
    • GenParetoOutput.distr_cls
    • GenParetoOutput.domain_map()
    • GenParetoOutput.event_shape
    • GenParetoOutput.value_in_support
  • ISQF
    • ISQF.F
    • ISQF.args
    • ISQF.batch_shape
    • ISQF.cdf()
    • ISQF.cdf_spline()
    • ISQF.cdf_tail()
    • ISQF.crps()
    • ISQF.crps_spline()
    • ISQF.crps_tail()
    • ISQF.event_dim
    • ISQF.event_shape
    • ISQF.is_reparameterizable
    • ISQF.loss()
    • ISQF.parametrize_qk()
    • ISQF.parametrize_spline()
    • ISQF.parametrize_tail()
    • ISQF.quantile()
    • ISQF.quantile_internal()
    • ISQF.quantile_spline()
    • ISQF.quantile_tail()
    • ISQF.sample()
  • ISQFOutput
    • ISQFOutput.distr_cls
    • ISQFOutput.distribution()
    • ISQFOutput.domain_map()
    • ISQFOutput.event_shape
    • ISQFOutput.reshape_spline_args()
  • InverseBoxCoxTransformOutput
    • InverseBoxCoxTransformOutput.args_dim
    • InverseBoxCoxTransformOutput.bij_cls
    • InverseBoxCoxTransformOutput.event_shape
  • Laplace
    • Laplace.F
    • Laplace.args
    • Laplace.batch_shape
    • Laplace.cdf()
    • Laplace.event_dim
    • Laplace.event_shape
    • Laplace.is_reparameterizable
    • Laplace.log_prob()
    • Laplace.mean
    • Laplace.quantile()
    • Laplace.sample_rep()
    • Laplace.stddev
  • LaplaceFixedVarianceOutput
    • LaplaceFixedVarianceOutput.domain_map()
  • LaplaceOutput
    • LaplaceOutput.args_dim
    • LaplaceOutput.distr_cls
    • LaplaceOutput.domain_map()
    • LaplaceOutput.event_shape
  • LogitNormal
    • LogitNormal.F
    • LogitNormal.args
    • LogitNormal.batch_shape
    • LogitNormal.event_dim
    • LogitNormal.event_shape
    • LogitNormal.log_prob()
    • LogitNormal.quantile()
    • LogitNormal.sample()
  • LogitNormalOutput
    • LogitNormalOutput.args_dim
    • LogitNormalOutput.distr_cls
    • LogitNormalOutput.distribution()
    • LogitNormalOutput.domain_map()
    • LogitNormalOutput.event_shape
  • LowrankMultivariateGaussian
    • LowrankMultivariateGaussian.F
    • LowrankMultivariateGaussian.batch_shape
    • LowrankMultivariateGaussian.event_dim
    • LowrankMultivariateGaussian.event_shape
    • LowrankMultivariateGaussian.fit()
    • LowrankMultivariateGaussian.is_reparameterizable
    • LowrankMultivariateGaussian.log_prob()
    • LowrankMultivariateGaussian.mean
    • LowrankMultivariateGaussian.sample_rep()
    • LowrankMultivariateGaussian.variance
  • LowrankMultivariateGaussianOutput
    • LowrankMultivariateGaussianOutput.distribution()
    • LowrankMultivariateGaussianOutput.domain_map()
    • LowrankMultivariateGaussianOutput.event_shape
    • LowrankMultivariateGaussianOutput.get_args_proj()
  • MixtureDistribution
    • MixtureDistribution.F
    • MixtureDistribution.batch_shape
    • MixtureDistribution.cdf()
    • MixtureDistribution.event_dim
    • MixtureDistribution.event_shape
    • MixtureDistribution.is_reparameterizable
    • MixtureDistribution.log_prob()
    • MixtureDistribution.mean
    • MixtureDistribution.sample()
    • MixtureDistribution.stddev
    • MixtureDistribution.support_min_max
  • MixtureDistributionOutput
    • MixtureDistributionOutput.distribution()
    • MixtureDistributionOutput.event_shape
    • MixtureDistributionOutput.get_args_proj()
    • MixtureDistributionOutput.value_in_support
  • MultivariateGaussian
    • MultivariateGaussian.F
    • MultivariateGaussian.batch_shape
    • MultivariateGaussian.event_dim
    • MultivariateGaussian.event_shape
    • MultivariateGaussian.is_reparameterizable
    • MultivariateGaussian.log_prob()
    • MultivariateGaussian.mean
    • MultivariateGaussian.sample_rep()
    • MultivariateGaussian.variance
  • MultivariateGaussianOutput
    • MultivariateGaussianOutput.domain_map()
    • MultivariateGaussianOutput.event_shape
  • NanMixture
    • NanMixture.distribution
    • NanMixture.is_reparameterizable
    • NanMixture.log_prob()
    • NanMixture.nan_prob
  • NanMixtureOutput
    • NanMixtureOutput.distr_cls
    • NanMixtureOutput.distribution()
    • NanMixtureOutput.event_shape
    • NanMixtureOutput.get_args_proj()
  • NegativeBinomial
    • NegativeBinomial.F
    • NegativeBinomial.args
    • NegativeBinomial.batch_shape
    • NegativeBinomial.event_dim
    • NegativeBinomial.event_shape
    • NegativeBinomial.is_reparameterizable
    • NegativeBinomial.log_prob()
    • NegativeBinomial.mean
    • NegativeBinomial.sample()
    • NegativeBinomial.stddev
  • NegativeBinomialOutput
    • NegativeBinomialOutput.args_dim
    • NegativeBinomialOutput.distr_cls
    • NegativeBinomialOutput.distribution()
    • NegativeBinomialOutput.domain_map()
    • NegativeBinomialOutput.event_shape
  • OneInflatedBeta
    • OneInflatedBeta.is_reparameterizable
  • OneInflatedBetaOutput
    • OneInflatedBetaOutput.args_dim
    • OneInflatedBetaOutput.distr_cls
    • OneInflatedBetaOutput.domain_map()
  • PiecewiseLinear
    • PiecewiseLinear.F
    • PiecewiseLinear.args
    • PiecewiseLinear.batch_shape
    • PiecewiseLinear.cdf()
    • PiecewiseLinear.crps()
    • PiecewiseLinear.event_dim
    • PiecewiseLinear.event_shape
    • PiecewiseLinear.is_reparameterizable
    • PiecewiseLinear.loss()
    • PiecewiseLinear.quantile()
    • PiecewiseLinear.quantile_internal()
    • PiecewiseLinear.sample()
  • PiecewiseLinearOutput
    • PiecewiseLinearOutput.distr_cls
    • PiecewiseLinearOutput.distribution()
    • PiecewiseLinearOutput.domain_map()
    • PiecewiseLinearOutput.event_shape
  • Poisson
    • Poisson.F
    • Poisson.args
    • Poisson.batch_shape
    • Poisson.event_dim
    • Poisson.event_shape
    • Poisson.is_reparameterizable
    • Poisson.log_prob()
    • Poisson.mean
    • Poisson.sample()
    • Poisson.stddev
  • PoissonOutput
    • PoissonOutput.args_dim
    • PoissonOutput.distr_cls
    • PoissonOutput.distribution()
    • PoissonOutput.domain_map()
    • PoissonOutput.event_shape
  • StudentT
    • StudentT.F
    • StudentT.args
    • StudentT.batch_shape
    • StudentT.event_dim
    • StudentT.event_shape
    • StudentT.is_reparameterizable
    • StudentT.log_prob()
    • StudentT.mean
    • StudentT.sample()
    • StudentT.stddev
  • StudentTOutput
    • StudentTOutput.args_dim
    • StudentTOutput.distr_cls
    • StudentTOutput.domain_map()
    • StudentTOutput.event_shape
  • TransformedDistribution
    • TransformedDistribution.F
    • TransformedDistribution.batch_shape
    • TransformedDistribution.cdf()
    • TransformedDistribution.event_dim
    • TransformedDistribution.event_shape
    • TransformedDistribution.log_prob()
    • TransformedDistribution.quantile()
    • TransformedDistribution.sample()
    • TransformedDistribution.sample_rep()
    • TransformedDistribution.support_min_max
  • TransformedDistributionOutput
    • TransformedDistributionOutput.distribution()
    • TransformedDistributionOutput.domain_map()
    • TransformedDistributionOutput.event_shape
    • TransformedDistributionOutput.get_args_proj()
  • TransformedPiecewiseLinear
    • TransformedPiecewiseLinear.crps()
  • Uniform
    • Uniform.F
    • Uniform.args
    • Uniform.batch_shape
    • Uniform.cdf()
    • Uniform.event_dim
    • Uniform.event_shape
    • Uniform.is_reparameterizable
    • Uniform.log_prob()
    • Uniform.mean
    • Uniform.quantile()
    • Uniform.sample()
    • Uniform.sample_rep()
    • Uniform.stddev
  • UniformOutput
    • UniformOutput.args_dim
    • UniformOutput.distr_cls
    • UniformOutput.domain_map()
    • UniformOutput.event_shape
  • ZeroAndOneInflatedBeta
    • ZeroAndOneInflatedBeta.is_reparameterizable
    • ZeroAndOneInflatedBeta.log_prob()
  • ZeroAndOneInflatedBetaOutput
    • ZeroAndOneInflatedBetaOutput.args_dim
    • ZeroAndOneInflatedBetaOutput.distr_cls
    • ZeroAndOneInflatedBetaOutput.domain_map()
    • ZeroAndOneInflatedBetaOutput.event_shape
    • ZeroAndOneInflatedBetaOutput.value_in_support
  • ZeroInflatedBeta
    • ZeroInflatedBeta.is_reparameterizable
  • ZeroInflatedBetaOutput
    • ZeroInflatedBetaOutput.args_dim
    • ZeroInflatedBetaOutput.distr_cls
    • ZeroInflatedBetaOutput.domain_map()
  • ZeroInflatedNegativeBinomialOutput()
  • ZeroInflatedPoissonOutput()
  • Submodules
    • gluonts.mx.distribution.beta module
      • Beta
      • BetaOutput
    • gluonts.mx.distribution.bijection module
      • AffineTransformation
      • Bijection
      • BijectionHybridBlock
      • ComposedBijection
      • ComposedBijectionHybridBlock
      • InverseBijection
    • gluonts.mx.distribution.bijection_output module
      • BijectionOutput
    • gluonts.mx.distribution.binned module
      • Binned
      • BinnedArgs
      • BinnedOutput
    • gluonts.mx.distribution.box_cox_transform module
      • BoxCoxTransform
      • BoxCoxTransformOutput
      • InverseBoxCoxTransform
      • InverseBoxCoxTransformOutput
    • gluonts.mx.distribution.categorical module
      • Categorical
      • CategoricalOutput
    • gluonts.mx.distribution.deterministic module
      • Deterministic
      • DeterministicArgProj
      • DeterministicOutput
    • gluonts.mx.distribution.dirichlet module
      • Dirichlet
      • DirichletOutput
    • gluonts.mx.distribution.dirichlet_multinomial module
      • DirichletMultinomial
      • DirichletMultinomialOutput
    • gluonts.mx.distribution.distribution module
      • Distribution
      • getF()
      • nans_like()
      • softplus()
    • gluonts.mx.distribution.distribution_output module
      • ArgProj
      • DistributionOutput
      • Output
    • gluonts.mx.distribution.empirical_distribution module
      • EmpiricalDistribution
      • EmpiricalDistributionOutput
    • gluonts.mx.distribution.gamma module
      • Gamma
      • GammaOutput
    • gluonts.mx.distribution.gaussian module
      • Gaussian
      • GaussianOutput
    • gluonts.mx.distribution.genpareto module
      • GenPareto
      • GenParetoOutput
    • gluonts.mx.distribution.inflated_beta module
      • OneInflatedBeta
      • OneInflatedBetaOutput
      • ZeroAndOneInflatedBeta
      • ZeroAndOneInflatedBetaOutput
      • ZeroInflatedBeta
      • ZeroInflatedBetaOutput
    • gluonts.mx.distribution.iresnet module
      • InvertibleResnetHybridBlock
      • iresnet()
      • log_abs_det()
    • gluonts.mx.distribution.isqf module
      • ISQF
      • ISQFOutput
      • TransformedISQF
    • gluonts.mx.distribution.laplace module
      • Laplace
      • LaplaceFixedVarianceOutput
      • LaplaceOutput
    • gluonts.mx.distribution.lds module
      • LDS
      • LDSArgsProj
      • ParameterBounds
      • kalman_filter_step()
    • gluonts.mx.distribution.logit_normal module
      • LogitNormal
      • LogitNormalOutput
    • gluonts.mx.distribution.lowrank_gp module
      • GPArgProj
      • LowrankGPOutput
    • gluonts.mx.distribution.lowrank_multivariate_gaussian module
      • LowrankMultivariateGaussian
      • LowrankMultivariateGaussianOutput
      • capacitance_tril()
      • inv_softplus()
      • log_det()
      • lowrank_log_likelihood()
      • mahalanobis_distance()
    • gluonts.mx.distribution.mixture module
      • MixtureArgs
      • MixtureDistribution
      • MixtureDistributionOutput
    • gluonts.mx.distribution.multivariate_gaussian module
      • MultivariateGaussian
      • MultivariateGaussianOutput
    • gluonts.mx.distribution.nan_mixture module
      • NanMixture
      • NanMixtureArgs
      • NanMixtureOutput
    • gluonts.mx.distribution.neg_binomial module
      • NegativeBinomial
      • NegativeBinomialOutput
      • ZeroInflatedNegativeBinomialOutput()
    • gluonts.mx.distribution.piecewise_linear module
      • FixedKnotsArgProj
      • FixedKnotsPiecewiseLinearOutput
      • PiecewiseLinear
      • PiecewiseLinearOutput
      • TransformedPiecewiseLinear
    • gluonts.mx.distribution.poisson module
      • Poisson
      • PoissonOutput
      • ZeroInflatedPoissonOutput()
    • gluonts.mx.distribution.student_t module
      • StudentT
      • StudentTOutput
    • gluonts.mx.distribution.transformed_distribution module
      • AffineTransformedDistribution
      • TransformedDistribution
      • sum_trailing_axes()
    • gluonts.mx.distribution.transformed_distribution_output module
      • TransformedDistributionOutput
    • gluonts.mx.distribution.uniform module
      • Uniform
      • UniformOutput
• gluonts.mx.kernels package
  • Kernel
    • Kernel.kernel_matrix()
  • KernelOutput
    • KernelOutput.compute_std()
    • KernelOutput.get_args_proj()
    • KernelOutput.kernel()
  • KernelOutputDict
    • KernelOutputDict.args_dim
    • KernelOutputDict.domain_map()
    • KernelOutputDict.get_args_proj()
    • KernelOutputDict.get_num_args()
    • KernelOutputDict.gp_params_scaling()
    • KernelOutputDict.kernel()
    • KernelOutputDict.kernel_cls
  • PeriodicKernel
    • PeriodicKernel.kernel_matrix()
  • PeriodicKernelOutput
    • PeriodicKernelOutput.args_dim
    • PeriodicKernelOutput.domain_map()
    • PeriodicKernelOutput.gp_params_scaling()
    • PeriodicKernelOutput.kernel_cls
  • RBFKernel
    • RBFKernel.kernel_matrix()
  • RBFKernelOutput
    • RBFKernelOutput.args_dim
    • RBFKernelOutput.domain_map()
    • RBFKernelOutput.gp_params_scaling()
    • RBFKernelOutput.kernel_cls
• gluonts.mx.model package
  • Subpackages
    • gluonts.mx.model.canonical package
      • CanonicalRNNEstimator
    • gluonts.mx.model.deep_factor package
      • DeepFactorEstimator
      • Submodules
    • gluonts.mx.model.deepar package
      • DeepAREstimator
    • gluonts.mx.model.deepstate package
      • DeepStateEstimator
      • Submodules
    • gluonts.mx.model.deepvar package
      • DeepVAREstimator
    • gluonts.mx.model.deepvar_hierarchical package
      • DeepVARHierarchicalEstimator
      • coherency_error()
      • projection_mat()
      • reconcile_samples()
    • gluonts.mx.model.gp_forecaster package
      • GaussianProcessEstimator
      • Submodules
    • gluonts.mx.model.gpvar package
      • GPVAREstimator
    • gluonts.mx.model.lstnet package
      • LSTNetEstimator
    • gluonts.mx.model.n_beats package
      • NBEATSEnsembleEstimator
      • NBEATSEnsemblePredictor
      • NBEATSEstimator
    • gluonts.mx.model.renewal package
      • DeepRenewalProcessEstimator
    • gluonts.mx.model.seq2seq package
      • MQCNNEstimator
      • MQRNNEstimator
      • RNN2QRForecaster
      • Seq2SeqEstimator
    • gluonts.mx.model.simple_feedforward package
      • SimpleFeedForwardEstimator
    • gluonts.mx.model.tft package
      • TemporalFusionTransformerEstimator
    • gluonts.mx.model.tpp package
      • DeepTPPEstimator
      • PointProcessGluonPredictor
      • PointProcessSampleForecast
      • Subpackages
      • Submodules
    • gluonts.mx.model.transformer package
      • TransformerEstimator
      • Submodules
    • gluonts.mx.model.wavenet package
      • WaveNet
      • WaveNetEstimator
      • WaveNetSampler
  • Submodules
    • gluonts.mx.model.estimator module
      • GluonEstimator
      • TrainOutput
    • gluonts.mx.model.forecast module
      • DistributionForecast
    • gluonts.mx.model.forecast_generator module
    • gluonts.mx.model.predictor module
      • GluonPredictor
      • RepresentableBlockPredictor
      • SymbolBlockPredictor
• gluonts.mx.representation package
  • CustomBinning
    • CustomBinning.hybrid_forward()
    • CustomBinning.initialize_from_array()
    • CustomBinning.initialize_from_dataset()
    • CustomBinning.post_transform()
  • DimExpansion
    • DimExpansion.hybrid_forward()
  • DiscretePIT
    • DiscretePIT.hybrid_forward()
    • DiscretePIT.post_transform()
  • Embedding
    • Embedding.hybrid_forward()
  • GlobalRelativeBinning
    • GlobalRelativeBinning.hybrid_forward()
    • GlobalRelativeBinning.initialize_from_array()
    • GlobalRelativeBinning.initialize_from_dataset()
    • GlobalRelativeBinning.post_transform()
  • HybridRepresentation
    • HybridRepresentation.hybrid_forward()
    • HybridRepresentation.initialize_from_array()
    • HybridRepresentation.initialize_from_dataset()
  • LocalAbsoluteBinning
    • LocalAbsoluteBinning.hybrid_forward()
    • LocalAbsoluteBinning.post_transform()
  • MeanScaling
    • MeanScaling.compute_scale()
    • MeanScaling.hybrid_forward()
    • MeanScaling.post_transform()
  • Representation
    • Representation.hybrid_forward()
    • Representation.initialize_from_array()
    • Representation.initialize_from_dataset()
    • Representation.post_transform()
  • RepresentationChain
    • RepresentationChain.hybrid_forward()
    • RepresentationChain.initialize_from_array()
    • RepresentationChain.initialize_from_dataset()
    • RepresentationChain.post_transform()
  • Submodules
    • gluonts.mx.representation.binning_helpers module
      • Digitize
      • DigitizeProp
      • bin_edges_from_bin_centers()
      • ensure_binning_monotonicity()
    • gluonts.mx.representation.custom_binning module
      • CustomBinning
    • gluonts.mx.representation.dim_expansion module
      • DimExpansion
    • gluonts.mx.representation.discrete_pit module
      • DiscretePIT
    • gluonts.mx.representation.embedding module
      • Embedding
    • gluonts.mx.representation.global_relative_binning module
      • GlobalRelativeBinning
    • gluonts.mx.representation.hybrid_representation module
      • HybridRepresentation
    • gluonts.mx.representation.local_absolute_binning module
      • LocalAbsoluteBinning
    • gluonts.mx.representation.mean_scaling module
      • MeanScaling
    • gluonts.mx.representation.representation module
      • Representation
    • gluonts.mx.representation.representation_chain module
      • RepresentationChain
• gluonts.mx.trainer package
  • Trainer
    • Trainer.count_model_params()
  • Submodules
    • gluonts.mx.trainer.callback module
      • Callback
      • CallbackList
      • TerminateOnNaN
      • TrainingHistory
      • TrainingTimeLimit
      • WarmStart
    • gluonts.mx.trainer.learning_rate_scheduler module
      • LearningRateReduction
      • Max
      • MetricAttentiveScheduler
      • Min
      • Objective
      • Patience
    • gluonts.mx.trainer.model_averaging module
      • AveragingStrategy
      • ModelAveraging
      • SelectNBestMean
      • SelectNBestSoftmax
      • save_epoch_info()
    • gluonts.mx.trainer.model_iteration_averaging module
      • Alpha_Suffix
      • IterationAveragingStrategy
      • ModelIterationAveraging
      • NTA

Submodules

• gluonts.mx.activation module
  • LipSwish
    • LipSwish.hybrid_forward()
  • deriv_elu()
  • deriv_lipswish()
  • deriv_softrelu()
  • deriv_swish()
  • deriv_tanh()
  • get_activation()
  • get_activation_deriv()
• gluonts.mx.batchify module
  • as_in_context()
  • batchify()
  • pad_to_size()
  • stack()
• gluonts.mx.component module
  • equals_parameter_dict()
  • equals_representable_block()
  • skip_encoding_mx_gluon_parameterdict()
• gluonts.mx.context module
  • MXContext
    • MXContext.validate()
  • check_gpu_support()
  • get_mxnet_context()
  • num_gpus()
• gluonts.mx.linalg_util module
  • batch_diagonal()
  • jitter_cholesky()
  • jitter_cholesky_eig()
  • lower_triangular_ones()
• gluonts.mx.prelude module
• gluonts.mx.serde module
  • encode_mx_context()
  • encode_mx_ndarray()
• gluonts.mx.util module
  • HybridContext
  • assert_shape()
  • copy_parameters()
  • cumsum()
  • export_repr_block()
  • export_symb_block()
  • get_hybrid_forward_input_names()
  • hybrid_block_to_symbol_block()
  • import_repr_block()
  • import_symb_block()
  • make_nd_diag()
  • mx_switch()
  • weighted_average()