tfdv.visualize_statistics  |  TFX  |  TensorFlow
Skip to main content
Install
Learn
Introduction
New to TensorFlow?
Tutorials
Learn how to use TensorFlow with end-to-end examples
Guide
Learn framework concepts and components
Learn ML
Educational resources to master your path with TensorFlow
API
TensorFlow (v2.16.1)
Versions…
TensorFlow.js
TensorFlow Lite
TFX
Ecosystem
LIBRARIES
TensorFlow.js
Develop web ML applications in JavaScript
TensorFlow Lite
Deploy ML on mobile, microcontrollers and other edge devices
TFX
Build production ML pipelines
All libraries
Create advanced models and extend TensorFlow
RESOURCES
Models & datasets
Pre-trained models and datasets built by Google and the community
Tools
Tools to support and accelerate TensorFlow workflows
Responsible AI
Resources for every stage of the ML workflow
Recommendation systems
Build recommendation systems with open source tools
Community
Groups
User groups, interest groups and mailing lists
Contribute
Guide for contributing to code and documentation
Blog
Stay up to date with all things TensorFlow
Forum
Discussion platform for the TensorFlow community
Why TensorFlow
About
Case studies
/
English
中文 – 简体
GitHub
Sign in
For Production
Overview
Tutorials
Guide
TFX-Addons
API
Install
Learn
More
Overview
Tutorials
Guide
TFX-Addons
API
API
More
Ecosystem
More
Community
More
Why TensorFlow
More
GitHub
TFX API
TFX V1
tfx.v1
Overview
components
Overview
BulkInferrer
CsvExampleGen
DataAccessor
Evaluator
ExampleDiff
ExampleValidator
FnArgs
ImportExampleGen
ImportSchemaGen
InfraValidator
Pusher
SchemaGen
StatisticsGen
Trainer
Transform
Tuner
TunerFnResult
dsl
Overview
Artifact
Channel
Cond
ExecutionMode
Importer
Pipeline
Resolver
components
Overview
AsyncOutputArtifact
BeamComponentParameter
InputArtifact
OutputArtifact
OutputDict
Parameter
component
experimental
Overview
LatestArtifactStrategy
LatestBlessedModelStrategy
ResolverStrategy
RuntimeParameter
SpanRangeStrategy
create_container_component
io
Overview
fileio
Overview
NotFoundError
PathType
copy
exists
glob
isdir
listdir
makedirs
mkdir
open
remove
rename
rmtree
stat
walk
placeholders
Overview
exec_property
execution_invocation
input
output
extensions
Overview
google_cloud_ai_platform
Overview
BulkInferrer
Pusher
Trainer
Tuner
experimental
Overview
google_cloud_big_query
Overview
BigQueryExampleGen
Pusher
orchestration
Overview
LocalDagRunner
experimental
Overview
FinalStatusStr
KubeflowDagRunner
KubeflowDagRunnerConfig
KubeflowV2DagRunner
KubeflowV2DagRunnerConfig
exit_handler
get_default_kubeflow_metadata_config
metadata
Overview
ConnectionConfigType
mysql_metadata_connection_config
sqlite_metadata_connection_config
proto
Overview
ClassifyOutput
CustomConfig
DataSpec
DistributionValidatorConfig
EnvVar
EnvVarSource
EvalArgs
ExampleDiffConfig
FeatureComparator
FeatureSlicingSpec
Filesystem
Input
KubernetesConfig
LocalDockerConfig
ModelSpec
Output
OutputColumnsSpec
OutputExampleSpec
PairedExampleSkew
PodOverrides
PredictOutput
PredictOutputCol
PushDestination
RangeConfig
RegressOutput
RequestSpec
RollingRange
SecretKeySelector
ServingSpec
SingleSlicingSpec
SplitConfig
SplitsConfig
StaticRange
TensorFlowServing
TensorFlowServingRequestSpec
TrainArgs
TuneArgs
ValidationSpec
orchestration
Overview
RunState
testing
Overview
Channel
types
Overview
BaseBeamComponent
BaseChannel
BaseComponent
BaseComponent.DRIVER_CLASS
BaseFunctionalComponent
BaseFunctionalComponentFactory
BaseNode
standard_artifacts
Overview
Boolean
Bytes
ExampleAnomalies
ExampleStatistics
ExampleStatistics.TYPE_ANNOTATION
Examples
Examples.TYPE_ANNOTATION
Float
HyperParameters
InferenceResult
InfraBlessing
Integer
JsonValue
Model
Model.TYPE_ANNOTATION
ModelBlessing
ModelEvaluation
ModelRun
PushedModel
Schema
String
TransformCache
TransformGraph
utils
Overview
JsonableType
parse_pbtxt_file
Data Validation
tfdv
Overview
CombinerStatsGenerator
CrossFeatureView
DatasetListView
DatasetView
DetectFeatureSkew
FeaturePath
FeatureView
GenerateStatistics
MergeDatasetFeatureStatisticsList
StatsOptions
TransformStatsGenerator
WriteStatisticsToBinaryFile
WriteStatisticsToRecordsAndBinaryFile
WriteStatisticsToTFRecord
compare_slices
default_sharded_output_suffix
default_sharded_output_supported
display_anomalies
display_schema
experimental_get_feature_value_slicer
generate_dummy_schema_with_paths
generate_statistics_from_csv
generate_statistics_from_dataframe
generate_statistics_from_tfrecord
get_confusion_count_dataframes
get_domain
get_feature
get_feature_stats
get_match_stats_dataframe
get_skew_result_dataframe
get_slice_stats
get_statistics_html
infer_schema
load_anomalies_text
load_schema_text
load_sharded_statistics
load_statistics
load_stats_binary
load_stats_text
set_domain
update_schema
validate_corresponding_slices
validate_examples_in_csv
validate_examples_in_tfrecord
validate_statistics
visualize_statistics
write_anomalies_text
write_schema_text
write_stats_text
Transform
tft
Overview
DatasetMetadata
TFTransformOutput
TransformFeaturesLayer
annotate_asset
apply_buckets
apply_buckets_with_interpolation
apply_pyfunc
apply_vocabulary
bag_of_words
bucketize
bucketize_per_key
compute_and_apply_vocabulary
count_per_key
covariance
deduplicate_tensor_per_row
estimated_probability_density
get_analyze_input_columns
get_num_buckets_for_transformed_feature
get_transform_input_columns
hash_strings
histogram
make_and_track_object
max
mean
min
ngrams
pca
quantiles
scale_by_min_max
scale_by_min_max_per_key
scale_to_0_1
scale_to_0_1_per_key
scale_to_gaussian
scale_to_z_score
scale_to_z_score_per_key
segment_indices
size
sparse_tensor_left_align
sparse_tensor_to_dense_with_shape
sum
tfidf
tukey_h_params
tukey_location
tukey_scale
var
vocabulary
word_count
tft.coders
Overview
CsvCoder
ExampleProtoCoder
tft.experimental
Overview
CacheablePTransformAnalyzer
PTransformAnalyzerCacheCoder
SimpleJsonPTransformAnalyzerCacheCoder
annotate_sparse_output_shape
annotate_true_sparse_output
approximate_vocabulary
compute_and_apply_approximate_vocabulary
document_frequency
get_vocabulary_size_by_name
idf
ptransform_analyzer
tft_beam
Overview
AnalyzeAndTransformDataset
AnalyzeDataset
AnalyzeDatasetWithCache
Context
EncodeTransformedDataset
ReadTransformFn
TransformDataset
WriteMetadata
WriteTransformFn
tft_beam.analyzer_cache
Overview
BeamAnalysisCache
DatasetCache
DatasetCacheMetadata
DatasetKey
ReadAnalysisCacheFromFS
WriteAnalysisCacheToFS
make_cache_entry_key
validate_dataset_keys
tft_beam.experimental
Overview
PTransformAnalyzer
Model Analysis
tfma
Overview
AggregationOptions
AggregationOptions.ClassWeightsEntry
AttributionsForSlice
AttributionsForSlice.AttributionsKeyAndValues
AttributionsForSlice.AttributionsKeyAndValues.ValuesEntry
BatchedInputsToExtracts
BinarizationOptions
ConfidenceIntervalOptions
CrossSliceMetricThreshold
CrossSliceMetricThresholds
CrossSlicingSpec
EvalConfig
EvalResult
ExampleWeightOptions
ExtractAndEvaluate
ExtractEvaluateAndWriteResults
GenericChangeThreshold
GenericValueThreshold
InputsToExtracts
MetricConfig
MetricThreshold
MetricsForSlice
MetricsForSlice.MetricKeyAndValue
MetricsForSlice.MetricsEntry
MetricsSpec
MetricsSpec.CrossSliceThresholdsEntry
MetricsSpec.OutputWeightsEntry
MetricsSpec.PerSliceThresholdsEntry
MetricsSpec.ThresholdsEntry
ModelSpec
ModelSpec.ExampleWeightKeysEntry
ModelSpec.LabelKeysEntry
ModelSpec.PredictionKeysEntry
Options
PaddingOptions
PerSliceMetricThreshold
PerSliceMetricThresholds
PlotsForSlice
PlotsForSlice.PlotKeyAndValue
PlotsForSlice.PlotsEntry
RepeatedInt32Value
RepeatedStringValue
SlicingSpec
SlicingSpec.FeatureValuesEntry
Validate
ValidationResult
WriteResults
analyze_raw_data
default_eval_shared_model
default_evaluators
default_extractors
default_writers
is_batched_input
is_legacy_estimator
load_attributions
load_eval_result
load_eval_results
load_metrics
load_plots
load_validation_result
make_eval_results
multiple_data_analysis
multiple_model_analysis
run_model_analysis
tfma.addons
Overview
tfma.constants
Overview
tfma.contrib
Overview
tfma.evaluators
Overview
AnalysisTableEvaluator
Evaluation
Evaluator
MetricsAndPlotsEvaluator
MetricsPlotsAndValidationsEvaluator
verify_evaluator
tfma.experimental
Overview
tfma.export
Overview
EvalInputReceiverType
build_parsing_eval_input_receiver_fn
tfma.exporter
Overview
FinalExporter
LatestExporter
adapt_to_remove_metrics
tfma.extractors
Overview
ExampleWeightsExtractor
Extractor
FeatureExtractor
FeaturesExtractor
Filter
InputExtractor
LabelsExtractor
PredictExtractor
PredictionsExtractor
SliceKeyExtractor
TransformedFeaturesExtractor
UnbatchExtractor
tfma.metrics
Overview
AUC
AUCCurve
AUCPrecisionRecall
AUCSummationMethod
AttributionsMetric
BalancedAccuracy
BinaryAccuracy
BinaryCrossEntropy
BooleanFlipRates
COCOAveragePrecision
COCOAverageRecall
COCOMeanAveragePrecision
COCOMeanAverageRecall
Calibration
CalibrationPlot
CategoricalCrossEntropy
CoefficientOfDiscrimination
CombinedFeaturePreprocessor
ConfusionMatrixAtThresholds
ConfusionMatrixPlot
DerivedMetricComputation
DiagnosticOddsRatio
ExactMatch
ExampleCount
F1Score
FN
FNR
FP
FPR
FallOut
FalseDiscoveryRate
FalseNegatives
FalseOmissionRate
FalsePositives
FeaturePreprocessor
FowlkesMallowsIndex
Informedness
Markedness
MatthewsCorrelationCoefficient
MaxRecall
Mean
MeanAbsoluteAttributions
MeanAbsoluteError
MeanAbsolutePercentageError
MeanAttributions
MeanLabel
MeanPrediction
MeanSquaredError
MeanSquaredLogarithmicError
Metric
MetricComputation
MetricComputations
MetricKey
MetricsDict
MinLabelPosition
MissRate
MultiClassConfusionMatrixAtThresholds
MultiClassConfusionMatrixPlot
MultiLabelConfusionMatrixPlot
NDCG
NPV
NegativeLikelihoodRatio
NegativePredictiveValue
ObjectDetectionConfusionMatrixPlot
ObjectDetectionMaxRecall
ObjectDetectionPrecision
ObjectDetectionPrecisionAtRecall
ObjectDetectionRecall
ObjectDetectionThresholdAtRecall
PPV
PlotKey
PositiveLikelihoodRatio
Precision
PrecisionAtRecall
Preprocessor
Preprocessor.BundleContextParam
Preprocessor.BundleFinalizerParam
Preprocessor.RestrictionParam
Preprocessor.SetupContextParam
Preprocessor.StateParam
Preprocessor.TimerParam
Preprocessor.WatermarkEstimatorParam
Prevalence
PrevalenceThreshold
QueryStatistics
Recall
RecallAtPrecision
RelativeCoefficientOfDiscrimination
ScoreDistributionPlot
SemanticSegmentationConfusionMatrix
SemanticSegmentationFalsePositive
SemanticSegmentationTruePositive
SensitivityAtSpecificity
SetMatchPrecision
SetMatchRecall
Specificity
SpecificityAtSensitivity
SquaredPearsonCorrelation
StandardMetricInputs
SubKey
SymmetricPredictionDifference
TN
TNR
TP
TPR
ThreatScore
TotalAbsoluteAttributions
TotalAttributions
TrueNegatives
TruePositives
WeightedExampleCount
default_binary_classification_specs
default_multi_class_classification_specs
default_regression_specs
has_attributions_metrics
merge_per_key_computations
metric_thresholds_from_metrics_specs
specs_from_metrics
to_label_prediction_example_weight
to_standard_metric_inputs
tfma.model_agnostic_eval
Overview
tfma.post_export_metrics
Overview
auc
auc_plots
calibration
calibration_plot_and_prediction_histogram
confusion_matrix_at_thresholds
example_count
example_weight
fairness_auc
fairness_indicators
mean_absolute_error
mean_squared_error
precision_at_k
recall_at_k
root_mean_squared_error
squared_pearson_correlation
tfma.sdk
Overview
tfma.types
Overview
AddMetricsCallbackType
DictOfFetchedTensorValues
DictOfTensorType
DictOfTensorTypeMaybeDict
DictOfTensorValue
DictOfTensorValueMaybeDict
DictOfTypeSpec
DictOfTypeSpecMaybeDict
EvalSharedModel
Extracts
FPLKeyType
FeaturesPredictionsLabels
MaterializedColumn
MaybeMultipleEvalSharedModels
MetricValueType
MetricVariablesType
ModelLoader
PrimitiveMetricValueType
RaggedTensorValue
SparseTensorValue
StructuredMetricValue
TensorOrOperationType
TensorType
TensorTypeMaybeDict
TensorTypeMaybeMultiLevelDict
TensorValue
TensorValueMaybeDict
TensorValueMaybeMultiLevelDict
TypeSpecMaybeDict
TypeSpecMaybeMultiLevelDict
ValueWithTDistribution
VarLenTensorValue
VarLenTensorValue.DenseRowIterator
tfma.utils
Overview
CombineFnWithModels
DoFnWithModels
calculate_confidence_interval
compound_key
create_keys_key
create_values_key
get_baseline_model_spec
get_by_keys
get_model_spec
get_model_type
get_non_baseline_model_specs
has_change_threshold
merge_extracts
model_construct_fn
unique_key
update_eval_config_with_defaults
verify_and_update_eval_shared_models
verify_eval_config
tfma.validators
Overview
Validator
tfma.version
Overview
tfma.view
Overview
SlicedMetrics
SlicedPlots
render_plot
render_slicing_attributions
render_slicing_metrics
render_time_series
tfma.writers
Overview
EvalConfigWriter
MetricsPlotsAndValidationsWriter
Write
Writer
convert_slice_metrics_to_proto
Serving
Client API (REST)
Client API (gRPC)
Server API (C++)
Overview
tensorflow::serving
Overview
Classes
AspiredVersionPolicy
AspiredVersionPolicy::ServableAction
AspiredVersionsManager
AspiredVersionsManager::Options
AspiredVersionsManagerBuilder
BasicManager
BasicManager::Options
CachingManager
CachingManager::LoaderFactory
CachingManager::Options
ClassifierInterface
FileSystemStoragePathSource
Loader
Loader::Metadata
LoaderHarness
LoaderHarness::Options
Manager
PathPrefixLoaderFactory
RegressorInterface
ResourceUnsafeLoader
SavedModelBundleFactory
ServableHandle
ServableStateMonitor
ServerCore
ServerCore::Options
ServingSession
ServingSessionWrapper
SessionWrapperIgnoreThreadPoolOptions
SharedPtrHandle
Source
SourceAdapter
UntypedServableHandle
Structs
AspiredServableStateSnapshot
ServableRequest
Namespaces
tensorflow
tensorflow::serving::internal
ML Metadata
mlmd
Overview
ListOptions
MetadataStore
OrderByField
downgrade_schema
TF Metadata
tfmd.proto
Overview
anomalies_pb2
Overview
Anomalies
Anomalies.AnomalyInfoEntry
AnomalyInfo
AnomalyInfo.Reason
ChangedRegion
DiffRegion
DriftSkewInfo
DriftSkewInfo.Measurement
HiddenRegion
OneSideRegion
UnchangedRegion
derived_feature_pb2
Overview
AllowlistDeriver
ArgmaxTopK
DerivedFeatureConfig
DerivedFeatureSource
ImageQualityDeriver
ReduceOp
SliceSql
metric_pb2
Overview
AUC
AUCPrecisionRecall
BinaryAccuracy
BinaryCrossEntropy
BlockUtility
CategoricalAccuracy
CategoricalCrossEntropy
Cosine
CustomMetric
CustomMetric.RegistrySpec
FalseNegativeRateAtThreshold
FalsePositiveRateAtThreshold
Hinge
KullbackLeiblerDivergence
LogisticRegression
MaximumMeanDiscrepancy
MeanAbsoluteError
MeanAbsolutePercentageError
MeanReciprocalRank
MeanSquaredError
MeanSquaredLogarithmicError
MicroAUC
MultilabelCrossEntropy
PerformanceMetric
Poisson
PrecisionAtK
PrecisionAtRecall
PredictionMean
RecallAtPrecision
SensitivityAtSpecificity
SparseTopKCategoricalAccuracy
SpecificityAtSensitivity
SquaredHinge
TopKCategoricalAccuracy
path_pb2
Overview
Path
problem_statement_pb2
Overview
BinaryClassification
BinaryClassification.PositiveNegativeSpec
BinaryClassification.PositiveNegativeSpec.LabelValue
DynamicClassSpec
DynamicClassSpec.OovClassSpec
MetaOptimizationTarget
MetaOptimizationTarget.ThresholdConfig
MultiClassClassification
MultiDimensionalRegression
MultiDimensionalRegression.Probability
MultiLabelClassification
OneDimensionalRegression
OneDimensionalRegression.Counts
OneDimensionalRegression.Probability
ProblemStatement
Task
TextGeneration
TopKClassification
Type
schema_pb2
Overview
Annotation
AudioDomain
BoolDomain
ContentChunkDomain
DatasetConstraints
DistributionConstraints
Feature
FeatureComparator
FeatureCoverageConstraints
FeaturePresence
FeaturePresenceWithinGroup
FixedShape
FixedShape.Dim
FloatDomain
HistogramSelection
ImageDomain
InfinityNorm
IntDomain
JensenShannonDivergence
MIDDomain
NaturalLanguageDomain
NormalizedAbsoluteDifference
NumericValueComparator
Schema
Schema.TensorRepresentationGroupEntry
SequenceLengthConstraints
SequenceMetadata
SequenceValueConstraints
SparseFeature
SparseFeature.IndexFeature
SparseFeature.ValueFeature
StringDomain
StructDomain
TensorRepresentation
TensorRepresentation.DefaultValue
TensorRepresentation.DenseTensor
TensorRepresentation.RaggedTensor
TensorRepresentation.RaggedTensor.Partition
TensorRepresentation.SparseTensor
TensorRepresentation.VarLenSparseTensor
TensorRepresentationGroup
TensorRepresentationGroup.TensorRepresentationEntry
TimeDomain
TimeOfDayDomain
URLDomain
UniqueConstraints
ValueCount
ValueCountList
VideoDomain
WeightedFeature
statistics_pb2
Overview
BytesStatistics
CategoricalCrossStatistics
CommonStatistics
CrossFeatureStatistics
CustomStatistic
DatasetFeatureStatistics
DatasetFeatureStatisticsList
FeatureNameStatistics
Histogram
Histogram.Bucket
LiftSeries
LiftSeries.Bucket
LiftSeries.LiftValue
LiftStatistics
NaturalLanguageStatistics
NaturalLanguageStatistics.TokenStatistics
NumericCrossStatistics
NumericStatistics
PresenceAndValencyStatistics
RankHistogram
RankHistogram.Bucket
StringStatistics
StringStatistics.FreqAndValue
StructStatistics
WeightedCommonStatistics
WeightedNaturalLanguageStatistics
WeightedNumericStatistics
WeightedStringStatistics
v0
Overview
tfx_bsl
tfx_bsl.public
Overview
beam
Overview
RunInference
run_inference
Overview
CreateModelHandler
ModelHandler
RunInferenceOnKeyedBatches
RunInferencePerModel
RunInferencePerModelOnKeyedBatches
proto
Overview
model_spec_pb2
Overview
AIPlatformPredictionModelSpec
BatchParameters
InferenceSpecType
SavedModelSpec
tfxio
Overview
BeamRecordCsvTFXIO
CsvTFXIO
RecordBatchToExamplesEncoder
RecordBatchesOptions
TFExampleBeamRecord
TFExampleRecord
TFGraphRecordDecoder
TFSequenceExampleBeamRecord
TFSequenceExampleRecord
TFXIO
TensorAdapter
TensorAdapterConfig
TensorFlowDatasetOptions
TensorRepresentations
Introduction
Tutorials
Guide
Learn ML
TensorFlow (v2.16.1)
Versions…
TensorFlow.js
TensorFlow Lite
TFX
LIBRARIES
TensorFlow.js
TensorFlow Lite
TFX
All libraries
RESOURCES
Models & datasets
Tools
Responsible AI
Recommendation systems
Groups
Contribute
Blog
Forum
About
Case studies
TensorFlow
Learn
For Production
API
tfdv.visualize_statistics
Stay organized with collections
Save and categorize content based on your preferences.
View source on GitHub
Visualize the input statistics using Facets.
tfdv.visualize_statistics(
lhs_statistics: statistics_pb2.DatasetFeatureStatisticsList,
rhs_statistics: Optional[statistics_pb2.DatasetFeatureStatisticsList] = None,
lhs_name: Text = 'lhs_statistics',
rhs_name: Text = 'rhs_statistics',
allowlist_features: Optional[List[types.FeaturePath]] = None,
denylist_features: Optional[List[types.FeaturePath]] = None
) - None
Used in the notebooks
Used in the tutorials
TensorFlow Data Validation
FaceSSD Fairness Indicators Example Colab
Introduction to Fairness Indicators
Args
lhs_statistics
A DatasetFeatureStatisticsList protocol buffer.
rhs_statistics
An optional DatasetFeatureStatisticsList protocol buffer to
compare with lhs_statistics.
lhs_name
Name to use for the lhs_statistics dataset if a name is not
already provided within the protocol buffer.
rhs_name
Name to use for the rhs_statistics dataset if a name is not
already provided within the protocol buffer.
allowlist_features
Set of features to be visualized.
denylist_features
Set of features to ignore for visualization.
Raises
TypeError
If the input argument is not of the expected type.
ValueError
If the input statistics protos does not have only one dataset.
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2024-10-18 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-10-18 UTC."],[],[]]
Stay connected
Blog
Forum
GitHub
Twitter
YouTube
Support
Issue tracker
Release notes
Stack Overflow
Brand guidelines
Cite TensorFlow
Terms
Privacy
Manage cookies
Sign up for the TensorFlow newsletter
Subscribe
English
中文 – 简体