Index _ | A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W _ __call__() (flatppl.CompiledFunction method) (flatppl.inference.LogDensity method) A atol (flatppl.Integration attribute) auxdata (flatppl.pyhf.PyhfView attribute) auxdata_order (flatppl.pyhf.PyhfView attribute) B Binding (class in flatppl) binding (flatppl.Parameter attribute) bindings (flatppl.Graph attribute) (flatppl.Module property) bins (flatppl.pyhf.Channel attribute) bounds (flatppl.inference.LogDensity attribute) Box (class in flatppl) BoxError C centre (flatppl.Parameter attribute) Channel (class in flatppl.pyhf) channel_slices (flatppl.pyhf.PyhfView property) channels (flatppl.pyhf.PyhfView attribute) column (flatppl.Location attribute) CompilationError compile() (flatppl.Module method) compile_transformed() (flatppl.Module method) CompiledFunction (class in flatppl) constant() (flatppl.Module method) constrain (flatppl.inference.LogDensity attribute) (flatppl.TransformedFunction attribute) constrained (flatppl.TransformedFunction attribute) constraint (flatppl.Parameter attribute) Context (class in flatppl) context (flatppl.Module property) D dependencies (flatppl.Binding attribute) describe() (flatppl.Box method) detail (flatppl.BoxError attribute) domain (flatppl.Binding attribute) (flatppl.Parameter attribute) downstream() (flatppl.Module method) dtype (flatppl.inference.LogDensity attribute) E edges (flatppl.Graph attribute) example_input() (flatppl.CompiledFunction method) excerpt (flatppl.CompilationError attribute) expected (flatppl.pyhf.Channel attribute) expected_data() (flatppl.pyhf.PyhfView method) F Fixed (class in flatppl) fixed (flatppl.inference.LogDensity attribute) (flatppl.Parameter attribute) flat (flatppl.inference.LogDensity attribute) FlatLogDensity (class in flatppl.inference) flatppl module flatppl() (in module flatppl) flatppl.formula module flatppl.inference module flatppl.pyhf module fn (flatppl.inference.FlatLogDensity attribute) (flatppl.inference.LogDensity attribute) formula (flatppl.Module property) FormulaView (class in flatppl.formula) from_formula() (in module flatppl) (in module flatppl.formula) from_pyhf() (in module flatppl) (in module flatppl.pyhf) G grad (flatppl.inference.FlatLogDensity attribute) (flatppl.inference.LogDensity attribute) Graph (class in flatppl) graph() (flatppl.Module method) H hi (flatppl.Parameter attribute) I import_chain (flatppl.CompilationError attribute) info (flatppl.formula.FormulaView attribute) init (flatppl.inference.FlatLogDensity attribute) (flatppl.inference.LogDensity attribute) (flatppl.Parameter attribute) inputs (flatppl.Binding attribute) Integration (class in flatppl) J jacobian (flatppl.inference.LogDensity attribute) K kind (flatppl.Binding attribute) L line (flatppl.Location attribute) lo (flatppl.Parameter attribute) load() (flatppl.Context method) (in module flatppl) load_bundle() (flatppl.Context method) Location (class in flatppl) location (flatppl.Binding attribute) (flatppl.CompilationError attribute) LogDensity (class in flatppl.inference) logdensity() (flatppl.Module method) logpdf() (flatppl.pyhf.PyhfView method) M math() (flatppl.Binding method) (flatppl.Module method) max_intervals (flatppl.Integration attribute) measurement (flatppl.pyhf.PyhfView attribute) message (flatppl.CompilationError attribute) missing (flatppl.BoxError attribute) module flatppl flatppl.formula flatppl.inference flatppl.pyhf Module (class in flatppl) module (flatppl.Binding attribute) (flatppl.formula.FormulaView attribute) (flatppl.pyhf.PyhfView attribute) N name (flatppl.Binding attribute) (flatppl.Parameter attribute) (flatppl.pyhf.Channel attribute) (flatppl.pyhf.ParameterSlice attribute) (flatppl.Reference attribute) names (flatppl.inference.FlatLogDensity attribute) (flatppl.inference.LogDensity attribute) nodes (flatppl.Graph attribute) npars (flatppl.pyhf.PyhfView property) O observed (flatppl.pyhf.Channel attribute) original_name (flatppl.Parameter attribute) P pack() (flatppl.Module method) par_map (flatppl.pyhf.PyhfView attribute) par_order (flatppl.pyhf.PyhfView attribute) Parameter (class in flatppl) Parameters (class in flatppl) parameters (flatppl.Module property) ParameterSlice (class in flatppl.pyhf) phase (flatppl.Binding attribute) poi (flatppl.pyhf.PyhfView attribute) poi_index (flatppl.pyhf.PyhfView property) potential (flatppl.inference.FlatLogDensity attribute) (flatppl.inference.LogDensity attribute) prepare() (flatppl.formula.FormulaView method) pyhf (flatppl.Module property) PyhfView (class in flatppl.pyhf) Q query() (flatppl.Module method) R recipe (flatppl.formula.FormulaView attribute) Reference (class in flatppl) register() (flatppl.Context method) role (flatppl.Parameter attribute) rows (flatppl.formula.FormulaView attribute) rtol (flatppl.Integration attribute) S save() (flatppl.Module method) schema (flatppl.CompiledFunction attribute) set() (flatppl.Module method) shape (flatppl.Binding attribute) (flatppl.Parameter attribute) shapes (flatppl.inference.LogDensity attribute) size (flatppl.Binding attribute) (flatppl.Parameter attribute) slice (flatppl.pyhf.ParameterSlice attribute) slice() (flatppl.Module method) source (flatppl.Binding attribute) (flatppl.CompilationError attribute) (flatppl.Location attribute) (flatppl.Module property) source_name (flatppl.Module property) span (flatppl.Binding attribute) (flatppl.CompilationError attribute) stablehlo (flatppl.CompiledFunction attribute) stage (flatppl.CompilationError attribute) stats() (flatppl.CompiledFunction method) status (flatppl.BoxError attribute) suggested_bounds() (flatppl.pyhf.PyhfView method) suggested_fixed() (flatppl.pyhf.PyhfView method) suggested_init() (flatppl.pyhf.PyhfView method) T title (flatppl.BoxError attribute) to_dot() (flatppl.Graph method) to_networkx() (flatppl.Graph method) transformed (flatppl.inference.LogDensity attribute) TransformedFunction (class in flatppl) type (flatppl.pyhf.ParameterSlice attribute) U unconstrain (flatppl.inference.LogDensity attribute) (flatppl.TransformedFunction attribute) unconstrained (flatppl.inference.LogDensity attribute) (flatppl.TransformedFunction attribute) unravel (flatppl.inference.FlatLogDensity attribute) upstream() (flatppl.Module method) V value (flatppl.Fixed attribute) value_type (flatppl.Binding attribute) W width (flatppl.Parameter attribute)