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bayesflow/datasets/__init__.py

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A collection of `keras.utils.PyDataset <https://keras.io/api/utils/python_utils/#pydataset-class>`__\ s, which wrap your data-generating process (i.e., your :py:class:`~bayesflow.simulators.Simulator`).
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What type of Dataset you use determines the effective training strategy (e.g., online or offline).
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"""
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from .offline_dataset import OfflineDataset
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from .online_dataset import OnlineDataset
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from .disk_dataset import DiskDataset

bayesflow/diagnostics/__init__.py

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"""
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A collection of plotting utilities and metrics for evaluating trained :py:class:`~bayesflow.workflows.Workflow`\ s.
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"""
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from .metrics import root_mean_squared_error, calibration_error, posterior_contraction
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from .plots import (

bayesflow/distributions/__init__.py

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which represent the latent space for :py:class:`~bayesflow.networks.InferenceNetwork`\ s
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or the summary space of :py:class:`~bayesflow.networks.SummaryNetwork`\ s.
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"""
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from .distribution import Distribution
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from .diagonal_normal import DiagonalNormal
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from .diagonal_student_t import DiagonalStudentT

bayesflow/experimental/__init__.py

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"""
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Unstable or largely untested networks. Proceed with caution.
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"""
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from .cif import CIF
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from .continuous_time_consistency_model import ContinuousTimeConsistencyModel
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from .free_form_flow import FreeFormFlow

bayesflow/networks/__init__.py

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"""
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A rich collection of neural network architectures for use in :py:class:`~bayesflow.approximators.Approximator`\ s.
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"""
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from .consistency_models import ConsistencyModel
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from .coupling_flow import CouplingFlow
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from .deep_set import DeepSet

bayesflow/simulators/__init__.py

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Its primary function is to sample data with the :py:meth:`~bayesflow.simulators.Simulator.sample` method.
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The module also contains several other kinds of Simulators, as well as the function :py:func:`~bayesflow.simulators.make_simulator` to facilitate easy implementation.
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"""
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from .sequential_simulator import SequentialSimulator
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from .hierarchical_simulator import HierarchicalSimulator
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from .lambda_simulator import LambdaSimulator

bayesflow/workflows/__init__.py

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"""
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Provides :py:class:`~bayesflow.workflows.BasicWorkflow`, a high-level interface for working on typical BayesFlow applications without having to worry about the internals.
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"""
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from .basic_workflow import BasicWorkflow
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from ..utils._docs import _add_imports_to_all

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