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AI-eXtended Design
aixd.data
Dataset
Dataset.analysis
Dataset.check_data_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
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.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
DataDiscrete
DataDiscrete.is_data_transformed
DataInt
DataInt.from_range
DataInt.get_activation_outhead
DataInt.get_loss_evaluation
DataInt.get_ml_heads
DataInt.get_objective
DataCategorical
DataCategorical.copy
DataCategorical.from_options
DataCategorical.get_activation_outhead
DataCategorical.get_loss_evaluation
DataCategorical.get_ml_heads
DataCategorical.get_objective
DataBool
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
DataBlock
DataBlock.check_data_consistency
DataBlock.get_cols_dobjs
DataBlock.get_data_mat
DataBlock.get_data_mat_dtypes
DataBlock.get_data_mats
DataBlock.get_dobj_dimensions
DataBlock.get_dobjs
DataBlock.info_dobj
DataBlock.print_objects
DataBlock.print_transf
DataBlock.read
DataBlock.update_obj
DataBlock.update_position_indices
DataBlock.write
DesignParameters
PerformanceAttributes
DesignRepresentation
DesignRepresentation.read
DesignRepresentation.write
TransformableDataBlock
TransformableDataBlock.get_dobj_dimensions
TransformableDataBlock.inverse_transform
TransformableDataBlock.to_data_block
TransformableDataBlock.transform
TransformableDataBlock.transformation_is_fitted
InputML
OutputML
CustomCallback
CustomCallback.run
AnalysisCallback
AnalysisCallback.analyze
AnalysisCallback.run
ImportCallback
ImportCallback.run
SamplingCallback
SamplingCallback.run
DataObjectTransform
DataObjectTransform.copy
DataObjectTransform.fit
DataObjectTransform.fit_transform
DataObjectTransform.inverse_transform
DataObjectTransform.is_fitted
DataObjectTransform.reset
DataObjectTransform.transform
Log10Transform
Log10Transform.inverse_transform
Log10Transform.transform
SigmoidTransform
SigmoidTransform.inverse_transform
SigmoidTransform.is_fitted
SigmoidTransform.reset
SigmoidTransform.transform
Standardization
Standardization.inverse_transform
Standardization.is_fitted
Standardization.reset
Standardization.transform
MinMaxScaler
MinMaxScaler.inverse_transform
MinMaxScaler.is_fitted
MinMaxScaler.reset
MinMaxScaler.transform
ZeroToOne
MinusOneToOne
MaskedMinMaxScaler
MaskedMinMaxScaler.inverse_transform
MaskedMinMaxScaler.transform
MaskedZeroToOne
MaskedMinusOneToOne
LabelEncoder
LabelEncoder.fit
LabelEncoder.inverse_transform
LabelEncoder.is_fitted
LabelEncoder.reset
LabelEncoder.transform
ToFloat
ToFloat.inverse_transform
ToFloat.is_fitted
ToFloat.transform
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_config_dict
DataModule.from_dataset
DataModule.from_json
DataModule.from_parameters
DataModule.get_checksum
DataModule.get_data_objects_by_name
DataModule.get_parameters
DataModule.get_x_test
DataModule.get_x_train
DataModule.get_x_val
DataModule.get_y_test
DataModule.get_y_train
DataModule.get_y_val
DataModule.inverse_transform
DataModule.inverse_transform_x
DataModule.inverse_transform_y
DataModule.load
DataModule.predict_dataloader
DataModule.save
DataModule.summary_input_output_dimensions
DataModule.test_dataloader
DataModule.to_config_dict
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
InverseModel
InverseModel.fit
InverseModel.forward
FreezeEncoder
FreezeEncoder.finetune_function
FreezeEncoder.freeze_before_training
ResBlockFC
ResBlockFC.forward
ResBlockConv
ResBlockConv.forward
ResBlock1D
ResBlock2D
ResBlock3D
SelfAttn
SelfAttn.forward
SelfAttn1D
SelfAttn2D
SelfAttn3D
Activation
Activation.forward
Decoder
Decoder.forward
Decoder.summary
Encoder
Encoder.forward
Encoder.summary
VEncoder
VEncoder.forward
InHeadFC
InHeadFC.forward
OutHeadFC
OutHeadFC.forward
InHeadConv
InHeadConv.forward
OutHeadConv
OutHeadConv.forward
InHeadConv1D
OutHeadConv1D
InHeadConv2D
OutHeadConv2D
InHeadConv3D
OutHeadConv3D
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
LocalSensitivity
LocalSensitivity.calculate
LocalSensitivity.plot
GlobalSensitivity
GlobalSensitivity.calculate
GlobalSensitivity.plot
aixd.sampler
GeneratorCallback
SamplingEngine
SamplingEngine.deserialise
SamplingEngine.reset_states
SamplingEngine.sample
SamplingEngine.update
AgnosticSamplingEngine
AgnosticSamplingEngine.update
AdaptiveSamplingEngine
AdaptiveSamplingEngine.update
RandomSamplingEngine
RandomSamplingEngine.sample
GridSamplingEngine
GridSamplingEngine.sample
SobolSamplingEngine
SobolSamplingEngine.reset_states
SobolSamplingEngine.sample
LHCSamplingEngine
LHCSamplingEngine.reset_states
LHCSamplingEngine.sample
BayesOptSamplingEngine
BayesOptSamplingEngine.reset_states
BayesOptSamplingEngine.sample
BayesOptSamplingEngine.update
Arithmetic
Arithmetic.is_differentiable
Boolean
Boolean.is_differentiable
Constant
Constant.evaluate
Add
Add.evaluate
Multiply
Multiply.evaluate
Subtract
Subtract.evaluate
Divide
Divide.evaluate
LessThan
LessThan.evaluate
LessOrEqual
LessOrEqual.evaluate
GreaterThan
GreaterThan.evaluate
GreaterOrEqual
GreaterOrEqual.evaluate
Log
Log.evaluate
Exp
Exp.evaluate
Pow
Pow.evaluate
Not
Not.evaluate
And
And.evaluate
Or
Or.evaluate
XOr
XOr.evaluate
Equal
Equal.evaluate
Negative
Negative.evaluate
CastBooleanToConstant
CastBooleanToConstant.evaluate
CastBooleanToConstant.is_differentiable
Reducer
Reducer.evaluate
Reducer.is_differentiable
Sum
Sum.evaluate
Mean
Mean.evaluate
Std
Std.evaluate
Var
Var.evaluate
All
All.evaluate
All.is_differentiable
Any
Any.evaluate
Any.is_differentiable
SamplesGenerator
SamplesGenerator.fit
SamplesGenerator.generate
SamplesGenerator.reset_states
Strategy
Strategy.fit
Strategy.reset_states
Strategy.sample
Strategy.update
UniformStrategy
UniformStrategy.sample
QuantileStrategy
QuantileStrategy.fit
QuantileStrategy.reset_states
QuantileStrategy.sample
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.distrib_attributes_high_dim
Plotter.evaluate_generation
Plotter.evaluate_training
Plotter.generation_scatter
Plotter.kde_distribution_attributes
Plotter.parallel_coordinates
Plotter.performance_summary
aixd.utils
Logger
Logger.from_config
Logger.get_child
Logger.get_name
Logger.set_verbosity
API Reference
AI-eXtended Design
aixd.data
LabelEncoder
LabelEncoder.reset
LabelEncoder.reset
LabelEncoder.
reset
(
)
[source]
Method to implement to reset fitted values.
On this page
LabelEncoder.reset()