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AIXD 0.12.1 documentation
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Introduction
Installation
API Reference
User Guide
Examples
License
Authors
Citing
References
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AI-eXtended Design
aixd.data
Dataset
Dataset.analysis
Dataset.check_data_consistency
Dataset.check_dataset_consistency
Dataset.data_mat_with_dobjs
Dataset.from_dataset_folder
Dataset.get_data_objects_by_name
Dataset.get_samples
Dataset.import_data
Dataset.import_data_from_csv
Dataset.import_data_from_df
Dataset.load
Dataset.sampling
Dataset.save_dataset_obj
Dataset.summary_data
Dataset.summary_datablocks
Dataset.summary_dataobjects
Dataset.update_obj_domains
Dataset.write_data_dp_pa
DataObject
DataObject.append_transformation
DataObject.check_data_consistency
DataObject.copy
DataObject.get_activation_outhead
DataObject.get_loss_evaluation
DataObject.get_ml_heads
DataObject.get_objective
DataObject.grid_samples
DataObject.has_name
DataObject.inverse_transform
DataObject.plot_distrib
DataObject.prepend_transformation
DataObject.print_transf_norm
DataObject.random_samples
DataObject.sample_around
DataObject.transform
DataObject.transform_is_fitted
DataObject.update_dobj_types
DataObject.update_obj
DataReal
DataReal.from_range
DataReal.get_activation_outhead
DataReal.get_loss_evaluation
DataReal.get_ml_heads
DataReal.get_objective
DataReal.plot_distrib
DataReal.append_transformation
DataReal.check_data_consistency
DataReal.copy
DataReal.grid_samples
DataReal.has_name
DataReal.inverse_transform
DataReal.prepend_transformation
DataReal.print_transf_norm
DataReal.random_samples
DataReal.sample_around
DataReal.transform
DataReal.transform_is_fitted
DataReal.update_dobj_types
DataReal.update_obj
DataDiscrete
DataDiscrete.is_data_transformed
DataDiscrete.plot_distrib
DataDiscrete.append_transformation
DataDiscrete.check_data_consistency
DataDiscrete.copy
DataDiscrete.get_activation_outhead
DataDiscrete.get_loss_evaluation
DataDiscrete.get_ml_heads
DataDiscrete.get_objective
DataDiscrete.grid_samples
DataDiscrete.has_name
DataDiscrete.inverse_transform
DataDiscrete.prepend_transformation
DataDiscrete.print_transf_norm
DataDiscrete.random_samples
DataDiscrete.sample_around
DataDiscrete.transform
DataDiscrete.transform_is_fitted
DataDiscrete.update_dobj_types
DataDiscrete.update_obj
DataInt
DataInt.from_range
DataInt.get_activation_outhead
DataInt.get_loss_evaluation
DataInt.get_ml_heads
DataInt.get_objective
DataInt.append_transformation
DataInt.check_data_consistency
DataInt.copy
DataInt.grid_samples
DataInt.has_name
DataInt.inverse_transform
DataInt.is_data_transformed
DataInt.plot_distrib
DataInt.prepend_transformation
DataInt.print_transf_norm
DataInt.random_samples
DataInt.sample_around
DataInt.transform
DataInt.transform_is_fitted
DataInt.update_dobj_types
DataInt.update_obj
DataCategorical
DataCategorical.copy
DataCategorical.from_options
DataCategorical.get_activation_outhead
DataCategorical.get_loss_evaluation
DataCategorical.get_ml_heads
DataCategorical.get_objective
DataCategorical.append_transformation
DataCategorical.check_data_consistency
DataCategorical.grid_samples
DataCategorical.has_name
DataCategorical.inverse_transform
DataCategorical.is_data_transformed
DataCategorical.plot_distrib
DataCategorical.prepend_transformation
DataCategorical.print_transf_norm
DataCategorical.random_samples
DataCategorical.sample_around
DataCategorical.transform
DataCategorical.transform_is_fitted
DataCategorical.update_dobj_types
DataCategorical.update_obj
DataBool
DataBool.append_transformation
DataBool.check_data_consistency
DataBool.copy
DataBool.from_options
DataBool.get_activation_outhead
DataBool.get_loss_evaluation
DataBool.get_ml_heads
DataBool.get_objective
DataBool.grid_samples
DataBool.has_name
DataBool.inverse_transform
DataBool.is_data_transformed
DataBool.plot_distrib
DataBool.prepend_transformation
DataBool.print_transf_norm
DataBool.random_samples
DataBool.sample_around
DataBool.transform
DataBool.transform_is_fitted
DataBool.update_dobj_types
DataBool.update_obj
Domain
Domain.check_domain_consistency
Domain.copy
Domain.domain_to_normalised
Domain.grid_samples
Domain.normalised_to_domain
Domain.random_samples
Domain.sample_around
Domain.update_domain
Options
Options.check_domain_consistency
Options.copy
Options.domain_to_normalised
Options.grid_samples
Options.normalised_to_domain
Options.random_samples
Options.sample_around
Options.update_domain
Interval
Interval.check_domain_consistency
Interval.copy
Interval.domain_to_normalised
Interval.grid_samples
Interval.normalised_to_domain
Interval.random_samples
Interval.sample_around
Interval.update_domain
IntervalMasked
IntervalMasked.copy
IntervalMasked.check_domain_consistency
IntervalMasked.domain_to_normalised
IntervalMasked.grid_samples
IntervalMasked.normalised_to_domain
IntervalMasked.random_samples
IntervalMasked.sample_around
IntervalMasked.update_domain
DataBlock
DataBlock.check_data_consistency
DataBlock.get_cols_dobjs
DataBlock.get_data_mat
DataBlock.get_data_mat_dtypes
DataBlock.get_data_mats
DataBlock.get_dobjs
DataBlock.info_dobj
DataBlock.print_objects
DataBlock.print_transf
DataBlock.read
DataBlock.update_obj
DataBlock.update_position_indices
DataBlock.write
DesignParameters
DesignParameters.check_data_consistency
DesignParameters.get_cols_dobjs
DesignParameters.get_data_mat
DesignParameters.get_data_mat_dtypes
DesignParameters.get_data_mats
DesignParameters.get_dobjs
DesignParameters.info_dobj
DesignParameters.print_objects
DesignParameters.print_transf
DesignParameters.read
DesignParameters.update_obj
DesignParameters.update_position_indices
DesignParameters.write
PerformanceAttributes
PerformanceAttributes.check_data_consistency
PerformanceAttributes.get_cols_dobjs
PerformanceAttributes.get_data_mat
PerformanceAttributes.get_data_mat_dtypes
PerformanceAttributes.get_data_mats
PerformanceAttributes.get_dobjs
PerformanceAttributes.info_dobj
PerformanceAttributes.print_objects
PerformanceAttributes.print_transf
PerformanceAttributes.read
PerformanceAttributes.update_obj
PerformanceAttributes.update_position_indices
PerformanceAttributes.write
DesignRepresentation
DesignRepresentation.read
DesignRepresentation.write
DesignRepresentation.check_data_consistency
DesignRepresentation.get_cols_dobjs
DesignRepresentation.get_data_mat
DesignRepresentation.get_data_mat_dtypes
DesignRepresentation.get_data_mats
DesignRepresentation.get_dobjs
DesignRepresentation.info_dobj
DesignRepresentation.print_objects
DesignRepresentation.print_transf
DesignRepresentation.update_obj
DesignRepresentation.update_position_indices
TransformableDataBlock
TransformableDataBlock.get_dobj_dimensions
TransformableDataBlock.inverse_transform
TransformableDataBlock.to_data_block
TransformableDataBlock.transform
TransformableDataBlock.transformation_is_fitted
TransformableDataBlock.check_data_consistency
TransformableDataBlock.get_cols_dobjs
TransformableDataBlock.get_data_mat
TransformableDataBlock.get_data_mat_dtypes
TransformableDataBlock.get_data_mats
TransformableDataBlock.get_dobjs
TransformableDataBlock.info_dobj
TransformableDataBlock.print_objects
TransformableDataBlock.print_transf
TransformableDataBlock.read
TransformableDataBlock.update_obj
TransformableDataBlock.update_position_indices
TransformableDataBlock.write
InputML
InputML.check_data_consistency
InputML.get_cols_dobjs
InputML.get_data_mat
InputML.get_data_mat_dtypes
InputML.get_data_mats
InputML.get_dobj_dimensions
InputML.get_dobjs
InputML.info_dobj
InputML.inverse_transform
InputML.print_objects
InputML.print_transf
InputML.read
InputML.to_data_block
InputML.transform
InputML.transformation_is_fitted
InputML.update_obj
InputML.update_position_indices
InputML.write
OutputML
OutputML.check_data_consistency
OutputML.get_cols_dobjs
OutputML.get_data_mat
OutputML.get_data_mat_dtypes
OutputML.get_data_mats
OutputML.get_dobj_dimensions
OutputML.get_dobjs
OutputML.info_dobj
OutputML.inverse_transform
OutputML.print_objects
OutputML.print_transf
OutputML.read
OutputML.to_data_block
OutputML.transform
OutputML.transformation_is_fitted
OutputML.update_obj
OutputML.update_position_indices
OutputML.write
CustomCallback
CustomCallback.run
CustomCallback.to_numpy
AnalysisCallback
AnalysisCallback.analyze
AnalysisCallback.run
AnalysisCallback.to_numpy
DataloaderCallback
DataloaderCallback.run
DataloaderCallback.to_numpy
ImportCallback
ImportCallback.run
ImportCallback.to_numpy
PostGenerationCallback
PostGenerationCallback.run
PostGenerationCallback.to_numpy
SamplingCallback
SamplingCallback.run
SamplingCallback.to_numpy
aixd.data.transform.register_transformation
aixd.data.transform.resolve_transformation
DataObjectTransform
DataObjectTransform.copy
DataObjectTransform.fit
DataObjectTransform.fit_transform
DataObjectTransform.inverse_transform
DataObjectTransform.is_fitted
DataObjectTransform.reset
DataObjectTransform.transform
Log10Transform
Log10Transform.inverse_transform
Log10Transform.transform
Log10Transform.copy
Log10Transform.fit
Log10Transform.fit_transform
Log10Transform.is_fitted
Log10Transform.reset
SigmoidTransform
SigmoidTransform.inverse_transform
SigmoidTransform.is_fitted
SigmoidTransform.reset
SigmoidTransform.transform
SigmoidTransform.copy
SigmoidTransform.fit
SigmoidTransform.fit_transform
Standardization
Standardization.inverse_transform
Standardization.is_fitted
Standardization.reset
Standardization.transform
Standardization.copy
Standardization.fit
Standardization.fit_transform
MinMaxScaler
MinMaxScaler.inverse_transform
MinMaxScaler.is_fitted
MinMaxScaler.reset
MinMaxScaler.transform
MinMaxScaler.copy
MinMaxScaler.fit
MinMaxScaler.fit_transform
ZeroToOne
ZeroToOne.copy
ZeroToOne.fit
ZeroToOne.fit_transform
ZeroToOne.inverse_transform
ZeroToOne.is_fitted
ZeroToOne.reset
ZeroToOne.transform
MinusOneToOne
MinusOneToOne.copy
MinusOneToOne.fit
MinusOneToOne.fit_transform
MinusOneToOne.inverse_transform
MinusOneToOne.is_fitted
MinusOneToOne.reset
MinusOneToOne.transform
MaskedMinMaxScaler
MaskedMinMaxScaler.inverse_transform
MaskedMinMaxScaler.transform
MaskedMinMaxScaler.copy
MaskedMinMaxScaler.fit
MaskedMinMaxScaler.fit_transform
MaskedMinMaxScaler.is_fitted
MaskedMinMaxScaler.reset
MaskedZeroToOne
MaskedZeroToOne.copy
MaskedZeroToOne.fit
MaskedZeroToOne.fit_transform
MaskedZeroToOne.inverse_transform
MaskedZeroToOne.is_fitted
MaskedZeroToOne.reset
MaskedZeroToOne.transform
MaskedMinusOneToOne
MaskedMinusOneToOne.copy
MaskedMinusOneToOne.fit
MaskedMinusOneToOne.fit_transform
MaskedMinusOneToOne.inverse_transform
MaskedMinusOneToOne.is_fitted
MaskedMinusOneToOne.reset
MaskedMinusOneToOne.transform
LabelEncoder
LabelEncoder.fit
LabelEncoder.inverse_transform
LabelEncoder.is_fitted
LabelEncoder.reset
LabelEncoder.transform
LabelEncoder.copy
LabelEncoder.fit_transform
ToFloat
ToFloat.inverse_transform
ToFloat.is_fitted
ToFloat.transform
ToFloat.copy
ToFloat.fit
ToFloat.fit_transform
ToFloat.reset
aixd.data.utils_data.convert_to
aixd.data.utils_data.combine_formats
aixd.data.utils_data.reformat_dict_to_dataframe
aixd.data.utils_data.reformat_dataframe_to_dict
aixd.data.utils_data.reformat_dataframe_to_dictlist
aixd.data.utils_data.reformat_dataframeflat_to_dict
aixd.data.utils_data.reformat_dataframe_to_dataframeflat
aixd.data.utils_data.reformat_dataframeflat_to_dataframe
aixd.data.utils_data.reformat_list_to_array
aixd.data.utils_data.reformat_array_to_list
aixd.data.utils_data.reformat_list_to_dataframe
aixd.data.utils_data.reformat_dataframe_to_list
aixd.data.utils_data.reformat_list_to_dict
aixd.data.utils_data.reformat_list_to_dictlist
aixd.data.utils_data.reformat_dictlist_to_dict
aixd.data.utils_data.reformat_dict_to_dictlist
aixd.data.utils_data.reformat_array_to_torch
aixd.data.utils_data.reformat_torch_to_array
aixd.mlmodel
DataModule
DataModule.convert_to_dataloader
DataModule.from_dataset
DataModule.from_parameters
DataModule.get_checksum
DataModule.get_parameters
DataModule.inverse_transform
DataModule.inverse_transform_x
DataModule.inverse_transform_y
DataModule.predict_dataloader
DataModule.summary_input_output_dimensions
DataModule.test_dataloader
DataModule.train_dataloader
DataModule.transform
DataModule.transform_x
DataModule.transform_y
DataModule.val_dataloader
CondAEModel
CondAEModel.calc_x_losses_calculation
CondAEModel.calc_y_losses_calculation
CondAEModel.configure_optimizers
CondAEModel.decode
CondAEModel.encode
CondAEModel.evaluate
CondAEModel.fit
CondAEModel.forward
CondAEModel.forward_evaluation
CondAEModel.from_datamodule
CondAEModel.generate
CondAEModel.get_evaluation_losses
CondAEModel.load_model_from_checkpoint
CondAEModel.on_load_checkpoint
CondAEModel.on_save_checkpoint
CondAEModel.predict
CondAEModel.predict_step
CondAEModel.predict_y
CondAEModel.save_extra_parameters
CondAEModel.split_x_head_in
CondAEModel.split_x_head_out
CondAEModel.split_xy_in
CondAEModel.split_xy_out
CondAEModel.split_y_head_in
CondAEModel.split_y_head_out
CondAEModel.summary
CondAEModel.test
CondAEModel.test_step
CondAEModel.to_untransformed_pred
CondAEModel.training_step
CondAEModel.validate
CondAEModel.validation_step
CondVAEModel
CondVAEModel.calc_x_losses_calculation
CondVAEModel.calc_y_losses_calculation
CondVAEModel.configure_optimizers
CondVAEModel.decode
CondVAEModel.encode
CondVAEModel.evaluate
CondVAEModel.fit
CondVAEModel.forward
CondVAEModel.forward_evaluation
CondVAEModel.from_datamodule
CondVAEModel.generate
CondVAEModel.get_evaluation_losses
CondVAEModel.load_model_from_checkpoint
CondVAEModel.on_load_checkpoint
CondVAEModel.on_save_checkpoint
CondVAEModel.predict
CondVAEModel.predict_step
CondVAEModel.predict_y
CondVAEModel.save_extra_parameters
CondVAEModel.split_x_head_in
CondVAEModel.split_x_head_out
CondVAEModel.split_xy_in
CondVAEModel.split_xy_out
CondVAEModel.split_y_head_in
CondVAEModel.split_y_head_out
CondVAEModel.summary
CondVAEModel.test
CondVAEModel.test_step
CondVAEModel.to_untransformed_pred
CondVAEModel.training_step
CondVAEModel.validate
CondVAEModel.validation_step
InverseModel
InverseModel.fit
InverseModel.forward
FreezeEncoder
FreezeEncoder.finetune_function
FreezeEncoder.freeze_before_training
ResBlockFC
ResBlockFC.forward
ResBlockConv
ResBlockConv.forward
ResBlock1D
ResBlock1D.forward
ResBlock2D
ResBlock2D.forward
ResBlock3D
ResBlock3D.forward
SelfAttn
SelfAttn.forward
SelfAttn1D
SelfAttn1D.forward
SelfAttn2D
SelfAttn2D.forward
SelfAttn3D
SelfAttn3D.forward
Activation
Activation.forward
Decoder
Decoder.forward
Decoder.summary
Encoder
Encoder.forward
Encoder.summary
VEncoder
VEncoder.forward
VEncoder.summary
InHeadFC
InHeadFC.forward
OutHeadFC
OutHeadFC.forward
OutHeadFC.get_postprocessors
OutHeadFC.postprocess
InHeadConv
InHeadConv.forward
OutHeadConv
OutHeadConv.forward
OutHeadConv.get_postprocessors
OutHeadConv.postprocess
InHeadConv1D
InHeadConv1D.forward
OutHeadConv1D
OutHeadConv1D.forward
OutHeadConv1D.get_postprocessors
OutHeadConv1D.postprocess
InHeadConv2D
InHeadConv2D.forward
OutHeadConv2D
OutHeadConv2D.forward
OutHeadConv2D.get_postprocessors
OutHeadConv2D.postprocess
InHeadConv3D
InHeadConv3D.forward
OutHeadConv3D
OutHeadConv3D.forward
OutHeadConv3D.get_postprocessors
OutHeadConv3D.postprocess
LossStd
LossStd.forward
MGEloss
MGEloss.forward
Generator
Generator.generate
Generator.info_attributes_req
Generator.print_results_gen
GeneratorSampler
GeneratorSampler.generate
GeneratorSampler.generate_z
GeneratorSampler.summary_sampling_types
aixd.sampler
GeneratorCallback
SamplingEngine
SamplingEngine.deserialise
SamplingEngine.reset_states
SamplingEngine.sample
SamplingEngine.update
AgnosticSamplingEngine
AgnosticSamplingEngine.update
AgnosticSamplingEngine.deserialise
AgnosticSamplingEngine.reset_states
AgnosticSamplingEngine.sample
AdaptiveSamplingEngine
AdaptiveSamplingEngine.update
AdaptiveSamplingEngine.deserialise
AdaptiveSamplingEngine.reset_states
AdaptiveSamplingEngine.sample
RandomSamplingEngine
RandomSamplingEngine.sample
RandomSamplingEngine.deserialise
RandomSamplingEngine.reset_states
RandomSamplingEngine.update
GridamplingEngine
GridamplingEngine.sample
GridamplingEngine.deserialise
GridamplingEngine.reset_states
GridamplingEngine.update
SobolSamplingEngine
SobolSamplingEngine.reset_states
SobolSamplingEngine.sample
SobolSamplingEngine.deserialise
SobolSamplingEngine.update
LHCSamplingEngine
LHCSamplingEngine.reset_states
LHCSamplingEngine.sample
LHCSamplingEngine.deserialise
LHCSamplingEngine.update
BayesOptSamplingEngine
BayesOptSamplingEngine.reset_states
BayesOptSamplingEngine.sample
BayesOptSamplingEngine.update
BayesOptSamplingEngine.deserialise
Operator
Operator.evaluate
Operator.is_differentiable
Operator.print_all
Arithmetic
Arithmetic.is_differentiable
Arithmetic.evaluate
Arithmetic.print_all
Boolean
Boolean.is_differentiable
Boolean.evaluate
Boolean.print_all
Constant
Constant.evaluate
Constant.is_differentiable
Constant.print_all
Add
Add.evaluate
Add.is_differentiable
Add.print_all
Multiply
Multiply.evaluate
Multiply.is_differentiable
Multiply.print_all
Subtract
Subtract.evaluate
Subtract.is_differentiable
Subtract.print_all
Divide
Divide.evaluate
Divide.is_differentiable
Divide.print_all
LessThan
LessThan.evaluate
LessThan.is_differentiable
LessThan.print_all
LessOrEqual
LessOrEqual.evaluate
LessOrEqual.is_differentiable
LessOrEqual.print_all
GreaterThan
GreaterThan.evaluate
GreaterThan.is_differentiable
GreaterThan.print_all
GreaterOrEqual
GreaterOrEqual.evaluate
GreaterOrEqual.is_differentiable
GreaterOrEqual.print_all
Log
Log.evaluate
Log.is_differentiable
Log.print_all
Exp
Exp.evaluate
Exp.is_differentiable
Exp.print_all
Pow
Pow.evaluate
Pow.is_differentiable
Pow.print_all
Not
Not.evaluate
Not.is_differentiable
Not.print_all
And
And.evaluate
And.is_differentiable
And.print_all
Or
Or.evaluate
Or.is_differentiable
Or.print_all
XOr
XOr.evaluate
XOr.is_differentiable
XOr.print_all
Equal
Equal.evaluate
Equal.is_differentiable
Equal.print_all
Negative
Negative.evaluate
Negative.is_differentiable
Negative.print_all
CastBooleanToConstant
CastBooleanToConstant.evaluate
CastBooleanToConstant.is_differentiable
CastBooleanToConstant.print_all
Reducer
Reducer.evaluate
Reducer.is_differentiable
Sum
Sum.evaluate
Sum.is_differentiable
Mean
Mean.evaluate
Mean.is_differentiable
Std
Std.evaluate
Std.is_differentiable
Var
Var.evaluate
Var.is_differentiable
All
All.evaluate
All.is_differentiable
Any
Any.evaluate
Any.is_differentiable
aixd.sampler.sampler_definitions.sampler_uniform
aixd.sampler.sampler_definitions.sampler_kde
aixd.sampler.sampler_definitions.sampler_quantile
aixd.sampler.sampler_definitions.sampler_custom
aixd.sampler.sampler_definitions.sampler_conditional_kde
aixd.sampler.sampler_definitions.sampler_bayesian_kde
SamplesGenerator
SamplesGenerator.fit
SamplesGenerator.generate
SamplesGenerator.reset_states
Strategy
Strategy.fit
Strategy.reset_states
Strategy.sample
Strategy.update
UniformStrategy
UniformStrategy.sample
UniformStrategy.fit
UniformStrategy.reset_states
UniformStrategy.update
QuantileStrategy
QuantileStrategy.fit
QuantileStrategy.reset_states
QuantileStrategy.sample
QuantileStrategy.update
KernelDensityStrategy
KernelDensityStrategy.fit
KernelDensityStrategy.reset_states
KernelDensityStrategy.sample
KernelDensityStrategy.update
aixd.visualisation
Plotter
Plotter.attributes_obs_vs_pred
Plotter.available_block_names
Plotter.contours2d
Plotter.correlation
Plotter.distrib_attributes
Plotter.distrib_attributes2d
Plotter.evaluate_generation
Plotter.evaluate_training
Plotter.generation_scatter
Plotter.kde_distribution_attributes
Plotter.performance_summary
API Reference
AI-eXtended Design
aixd.sampler
Strategy
Strategy.reset_states
Strategy.reset_states
Strategy.
reset_states
(
)
[source]
Reset the state of the engine.
On this page
Strategy.reset_states()