Index A | B | C | D | E | F | G | H | I | K | L | M | N | O | P | Q | R | S | T | V | W A active_stypes (sdm.tensor.TableTensor property) AddCalendarFields (class in sdm.processing.datetime) AddCategoryCounts (class in sdm.processing.categorical) AlignCategories (class in sdm.processing.categorical) append() (sdm.processing.common.Sequential method) append_features() (sdm.processing.recipe.Recipe method) append_output() (sdm.processing.recipe.Recipe method) append_target() (sdm.processing.recipe.Recipe method) as_processor() (sdm.processing.base.Processor static method) (sdm.processing.ensemble.EnsembleProcessor static method) Asinh (class in sdm.processing.numerical) Attention (class in sdm.nn) AverageEstimators (class in sdm.processing.output) B blocks (sdm.tensor.TableTensor property) C Cache (class in sdm.cache) Cache.Mode (class in sdm.cache) Callable (class in sdm.processing.common) Callback (class in sdm.models) Cast (class in sdm.processing.numerical) categorical (sdm.Stype attribute) (sdm.tensor.TableTensor property) categorical_columns (sdm.tensor.TableTensor property) CategoricalConfig (class in sdm.stype) CategoricalTensor (class in sdm.tensor) categories (sdm.tensor.CategoricalTensor property) Choice (class in sdm.processing.common) Chronos2 (class in sdm.models) classification (sdm.Task attribute) clear() (sdm.models.ICLModel method) (sdm.models.Model method) Clip (class in sdm.processing.numerical) ClipNonnegative (class in sdm.processing.output) ClipQuantiles (class in sdm.processing.numerical) ClipSigma (class in sdm.processing.numerical) code (sdm.tensor.CategoricalTensor property) column_groups (sdm.tensor.TableTensor property) column_names (sdm.tensor.TableTensor property) ColumnarTensor (class in sdm.tensor) columns (sdm.tensor.TableTensor property) concatenate_columns() (sdm.EnsembleTable class method) cpu() (sdm.tensor.mixin.DeviceMixin method) cuda() (sdm.tensor.mixin.DeviceMixin method) D data (sdm.tensor.NullableTensor property) data_offset (sdm.tensor.VarLenTensor property) datetime (sdm.Stype attribute) (sdm.tensor.TableTensor property) datetime_columns (sdm.tensor.TableTensor property) decode() (sdm.tensor.CategoricalTensor method) default_recipe() (sdm.models.ICLModel class method) (sdm.models.Model class method) Detrend (class in sdm.processing.numerical) device (sdm.tensor.mixin.DeviceMixin property) DeviceMixin (class in sdm.tensor.mixin) drop_columns() (sdm.tensor.TableTensor method) drop_stypes() (sdm.tensor.TableTensor method) DropConstantColumns (class in sdm.processing.numerical) DropStypes (class in sdm.processing.common) E edge_indices() (sdm.relational.RelationalData method) EnsembleInvertibleMixin (class in sdm.processing.ensemble) EnsembleProcessor (class in sdm.processing.ensemble) EnsembleProcessorAdapter (class in sdm.processing.common) EnsembleTable (class in sdm) expanded_group() (sdm.EnsembleTable method) extend() (sdm.processing.common.Sequential method) F features (sdm.processing.recipe.Recipe property) fit() (sdm.models.ICLModel method) (sdm.processing.base.Processor method) fit_ensemble() (sdm.processing.ensemble.EnsembleProcessor method) fit_transform() (sdm.processing.base.Processor method) fit_transform_ensemble() (sdm.processing.ensemble.EnsembleProcessor method) FlipSign (class in sdm.processing.numerical) forward() (sdm.models.ICLModel method) (sdm.models.KumoAnomaly method) (sdm.nn.Attention method) (sdm.nn.InducedTransformerBlock method) (sdm.nn.QueryScaling method) (sdm.nn.ResidualMLP method) (sdm.nn.RevIN method) (sdm.nn.RMSNorm method) (sdm.nn.RotaryEmbedding method) (sdm.nn.SDPA method) (sdm.nn.SinusoidalEmbedding method) (sdm.nn.SoftplusScale method) (sdm.nn.SwiGLU method) (sdm.nn.TransformerBlock method) (sdm.processing.base.Processor method) freeze() (sdm.cache.Cache method) from_arrow() (sdm.tensor.CategoricalTensor class method) (sdm.tensor.ColumnarTensor class method) (sdm.tensor.NullableTensor class method) (sdm.tensor.StringTensor class method) (sdm.tensor.TableTensor class method) (sdm.tensor.VarLenTensor class method) from_columns() (sdm.tensor.TableTensor class method) from_cudf() (sdm.tensor.CategoricalTensor class method) (sdm.tensor.ColumnarTensor class method) (sdm.tensor.NullableTensor class method) (sdm.tensor.StringTensor class method) (sdm.tensor.TableTensor class method) from_list() (sdm.tensor.NullableTensor class method) (sdm.tensor.StringTensor class method) (sdm.tensor.VarLenTensor class method) from_mapping() (sdm.relational.Relationship class method) (sdm.relational.TaskLink class method) from_pandas() (sdm.tensor.TableTensor class method) from_stype() (sdm.Task class method) from_table() (sdm.EnsembleTable class method) from_tables() (sdm.EnsembleTable class method) from_tensor() (sdm.tensor.CategoricalTensor class method) (sdm.tensor.NullableTensor class method) (sdm.tensor.TableTensor class method) (sdm.tensor.VarLenTensor class method) G GatedLogScale (class in sdm.nn) gather_members() (sdm.EnsembleTable method) GradientExplainer (class in sdm.explain) H handles_stypes (sdm.processing.base.Processor attribute) I ICLExplainer (class in sdm.explain) ICLModel (class in sdm.models) id (sdm.Stype attribute) (sdm.tensor.TableTensor property) id_columns (sdm.tensor.TableTensor property) Identity (class in sdm.processing.common) ImputeMean (class in sdm.processing.numerical) ImputeMode (class in sdm.processing.categorical) InducedTransformerBlock (class in sdm.nn) infer_stypes() (in module sdm) Interpolate (class in sdm.processing.numerical) inverse() (sdm.nn.RevIN method) inverse_transform() (sdm.processing.base.InvertibleMixin method) inverse_transform_ensemble() (sdm.processing.ensemble.EnsembleInvertibleMixin method) InvertibleMixin (class in sdm.processing.base) is_cpu (sdm.tensor.mixin.DeviceMixin property) is_cuda (sdm.tensor.mixin.DeviceMixin property) is_fitted (sdm.processing.base.Processor property) is_nullable (sdm.tensor.VarLenTensor property) is_pinned() (sdm.tensor.mixin.DeviceMixin method) is_recording (sdm.cache.Cache property) is_replaying (sdm.cache.Cache property) is_same_schema() (sdm.relational.RelatedTables method) (sdm.tensor.TableTensor method) is_subset_of() (sdm.relational.task.RelatedTablesSchema method) items() (sdm.tensor.TableTensor method) K KumoAnomaly (class in sdm.models) KumoForecast (class in sdm.models) KumoRelational (class in sdm.models) KumoTabular (class in sdm.models) KVCacheEntry (class in sdm.cache) L LogScale (class in sdm.nn) M MinMaxScale (class in sdm.processing.numerical) Model (class in sdm.models) N NullableTensor (class in sdm.tensor) num_groups (sdm.EnsembleTable property) num_members_in_group() (sdm.EnsembleTable method) numerical (sdm.Stype attribute) (sdm.tensor.TableTensor property) numerical_columns (sdm.tensor.TableTensor property) O on_context_preprocessing_end() (sdm.models.Callback method) on_model_forward_end() (sdm.models.Callback method) on_query_preprocessing_end() (sdm.models.Callback method) OneHotEncode (class in sdm.processing.categorical) output (sdm.processing.recipe.Recipe property) P PCA (class in sdm.processing.numerical) pin_memory() (sdm.tensor.mixin.DeviceMixin method) PowerTransform (class in sdm.processing.numerical) predict() (sdm.models.ICLModel method) prepend() (sdm.processing.common.Sequential method) prepend_features() (sdm.processing.recipe.Recipe method) prepend_output() (sdm.processing.recipe.Recipe method) prepend_target() (sdm.processing.recipe.Recipe method) Processor (class in sdm.processing.base) Q QASSMax (class in sdm.nn) QuantileTransform (class in sdm.processing.numerical) QueryScaling (class in sdm.nn) R RandomProjection (class in sdm.processing.numerical) RankGaussian (class in sdm.processing.numerical) Recipe (class in sdm.processing.recipe) record (sdm.cache.Cache.Mode attribute) regression (sdm.Task attribute) RelatedTables (class in sdm.relational) RelatedTablesSchema (class in sdm.relational.task) RelationalData (class in sdm.relational) RelationalSampler (class in sdm.relational) RelationalSamplerOutput (class in sdm.relational.sampler) Relationship (class in sdm.relational) replace_blocks() (sdm.tensor.TableTensor method) replace_groups() (sdm.EnsembleTable method) replace_tables() (sdm.EnsembleTable method) (sdm.relational.RelatedTables method) replay (sdm.cache.Cache.Mode attribute) requires_fit (sdm.processing.base.Processor attribute) requires_grad (sdm.models.Callback attribute) ResidualMLP (class in sdm.nn) RevIN (class in sdm.nn) RMSNorm (class in sdm.nn) RobustScale (class in sdm.processing.numerical) RotaryEmbedding (class in sdm.nn) running_stats() (sdm.nn.RevIN static method) S sample() (sdm.relational.RelationalSampler method) sampler() (sdm.relational.RelationalData method) schema (sdm.relational.RelatedTables property) (sdm.tensor.TableTensor property) SDPA (class in sdm.nn) select_columns() (sdm.tensor.TableTensor method) select_stypes() (sdm.EnsembleTable method) (sdm.tensor.TableTensor method) select_tables() (sdm.relational.RelatedTables method) SelectColumns (class in sdm.processing.common) SentenceTransformer (class in sdm.processing.text) Sequential (class in sdm.processing.common) SeriesEnsembleProcessor (class in sdm.processing.series) ShuffleCategories (class in sdm.processing.categorical) ShuffleColumns (class in sdm.processing.common) SinusoidalEmbedding (class in sdm.nn) size() (sdm.cache.Cache method) Softmax (class in sdm.processing.output) SoftplusScale (class in sdm.nn) SortQuantiles (class in sdm.processing.output) Standardize (class in sdm.processing.numerical) stats() (sdm.nn.RevIN static method) StringTensor (class in sdm.tensor) Stype (class in sdm) stype (sdm.Task property) stype() (sdm.tensor.TableTensor method) StypeConfig (class in sdm.stype) StypeDispatch (class in sdm.processing.common) stypes (sdm.tensor.TableTensor property) supported_feature_stypes (sdm.models.ICLModel attribute) (sdm.models.Model attribute) supported_target_stypes (sdm.models.ICLModel attribute) supported_tasks (sdm.models.ICLModel attribute) supports_context_only_columns (sdm.models.ICLModel attribute) supports_multi_target (sdm.models.ICLModel attribute) supports_related_tables (sdm.models.ICLModel attribute) SwiGLU (class in sdm.nn) T TabFM (class in sdm.models) TabICLv2 (class in sdm.models) TableDispatch (class in sdm.processing.common) TableSchema (class in sdm.tensor.table) TableTensor (class in sdm.tensor) target (sdm.processing.recipe.Recipe property) TargetAwareEnsembleProcessor (class in sdm.processing.target) Task (class in sdm) TaskDispatch (class in sdm.processing.common) TaskLink (class in sdm.relational) text (sdm.Stype attribute) (sdm.tensor.TableTensor property) text_columns (sdm.tensor.TableTensor property) TextConfig (class in sdm.stype) TFIDF (class in sdm.processing.text) TimesFM3 (class in sdm.models) to() (sdm.tensor.mixin.DeviceMixin method) to_arrow() (sdm.tensor.CategoricalTensor method) (sdm.tensor.ColumnarTensor method) (sdm.tensor.NullableTensor method) (sdm.tensor.StringTensor method) (sdm.tensor.TableTensor method) (sdm.tensor.VarLenTensor method) to_binary_class() (in module sdm.evaluation) to_class_indices() (in module sdm.evaluation) to_cudf() (sdm.tensor.CategoricalTensor method) (sdm.tensor.ColumnarTensor method) (sdm.tensor.NullableTensor method) (sdm.tensor.StringTensor method) (sdm.tensor.TableTensor method) to_graphviz() (sdm.relational.RelatedTables method) (sdm.relational.RelationalData method) to_pandas() (sdm.tensor.TableTensor method) ToNumerical (class in sdm.processing.common) transform() (sdm.processing.base.Processor method) transform_ensemble() (sdm.processing.ensemble.EnsembleProcessor method) TransformerBlock (class in sdm.nn) V valid (sdm.tensor.NullableTensor property) (sdm.tensor.VarLenTensor property) VarLenTensor (class in sdm.tensor) W with_state() (sdm.processing.numerical.Standardize method)
