final class CommonStatistics extends GeneratedMessageV3 with CommonStatisticsOrBuilder
Common statistics for all feature types. Statistics counting number of values (i.e., min_num_values, max_num_values, avg_num_values, and tot_num_values) include NaNs.
Protobuf type tensorflow.metadata.v0.CommonStatistics
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- CommonStatistics.java
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- CommonStatistics
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- def getAvgNumValues(): Float
The average number of values in a single example for this feature.
The average number of values in a single example for this feature.
float avg_num_values = 5;
- returns
The avgNumValues.
- Definition Classes
- CommonStatistics → CommonStatisticsOrBuilder
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- @Override()
- final def getClass(): Class[_ <: AnyRef]
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- def getDefaultInstanceForType(): CommonStatistics
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- CommonStatistics → MessageOrBuilder → MessageLiteOrBuilder
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- def getDescriptorForType(): Descriptor
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- GeneratedMessageV3 → MessageOrBuilder
- def getFeatureListLengthHistogram(): Histogram
The histogram for the number of features in the feature list (only set if this feature is a non-context feature from a tf.SequenceExample). This is different from num_values_histogram, as num_values_histogram tracks the count of all values for a feature in an example, whereas this tracks the length of the feature list for this feature in an example (where each feature list can contain multiple values).
The histogram for the number of features in the feature list (only set if this feature is a non-context feature from a tf.SequenceExample). This is different from num_values_histogram, as num_values_histogram tracks the count of all values for a feature in an example, whereas this tracks the length of the feature list for this feature in an example (where each feature list can contain multiple values).
.tensorflow.metadata.v0.Histogram feature_list_length_histogram = 9;
- returns
The featureListLengthHistogram.
- Definition Classes
- CommonStatistics → CommonStatisticsOrBuilder
- Annotations
- @Override()
- def getFeatureListLengthHistogramOrBuilder(): HistogramOrBuilder
The histogram for the number of features in the feature list (only set if this feature is a non-context feature from a tf.SequenceExample). This is different from num_values_histogram, as num_values_histogram tracks the count of all values for a feature in an example, whereas this tracks the length of the feature list for this feature in an example (where each feature list can contain multiple values).
The histogram for the number of features in the feature list (only set if this feature is a non-context feature from a tf.SequenceExample). This is different from num_values_histogram, as num_values_histogram tracks the count of all values for a feature in an example, whereas this tracks the length of the feature list for this feature in an example (where each feature list can contain multiple values).
.tensorflow.metadata.v0.Histogram feature_list_length_histogram = 9;
- Definition Classes
- CommonStatistics → CommonStatisticsOrBuilder
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- @Override()
- def getField(field: FieldDescriptor): AnyRef
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- GeneratedMessageV3 → MessageOrBuilder
- def getInitializationErrorString(): String
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- AbstractMessage → MessageOrBuilder
- def getMaxNumValues(): Long
The maximum number of values in a single example for this feature.
The maximum number of values in a single example for this feature.
uint64 max_num_values = 4;
- returns
The maxNumValues.
- Definition Classes
- CommonStatistics → CommonStatisticsOrBuilder
- Annotations
- @Override()
- def getMinNumValues(): Long
The minimum number of values in a single example for this feature.
The minimum number of values in a single example for this feature.
uint64 min_num_values = 3;
- returns
The minNumValues.
- Definition Classes
- CommonStatistics → CommonStatisticsOrBuilder
- Annotations
- @Override()
- def getNumMissing(): Long
The number of examples missing this feature.
The number of examples missing this feature.
uint64 num_missing = 2;
- returns
The numMissing.
- Definition Classes
- CommonStatistics → CommonStatisticsOrBuilder
- Annotations
- @Override()
- def getNumNonMissing(): Long
The number of examples that include this feature. Note that this includes examples that contain this feature with an explicitly empty list of values, which may be permitted for variable length features.
The number of examples that include this feature. Note that this includes examples that contain this feature with an explicitly empty list of values, which may be permitted for variable length features.
uint64 num_non_missing = 1;
- returns
The numNonMissing.
- Definition Classes
- CommonStatistics → CommonStatisticsOrBuilder
- Annotations
- @Override()
- def getNumValuesHistogram(): Histogram
The quantiles histogram for the number of values in this feature.
The quantiles histogram for the number of values in this feature.
.tensorflow.metadata.v0.Histogram num_values_histogram = 6;
- returns
The numValuesHistogram.
- Definition Classes
- CommonStatistics → CommonStatisticsOrBuilder
- Annotations
- @Override()
- def getNumValuesHistogramOrBuilder(): HistogramOrBuilder
The quantiles histogram for the number of values in this feature.
The quantiles histogram for the number of values in this feature.
.tensorflow.metadata.v0.Histogram num_values_histogram = 6;
- Definition Classes
- CommonStatistics → CommonStatisticsOrBuilder
- Annotations
- @Override()
- def getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
- Definition Classes
- GeneratedMessageV3 → AbstractMessage → MessageOrBuilder
- def getParserForType(): Parser[CommonStatistics]
- Definition Classes
- CommonStatistics → GeneratedMessageV3 → Message → MessageLite
- Annotations
- @Override()
- def getPresenceAndValencyStats(index: Int): PresenceAndValencyStatistics
Contains presence and valency stats for each nest level of the feature. The first item corresponds to the outermost level, and by definition, the stats it contains equals to the corresponding stats defined above. May not be populated if the feature is of nest level 1.
Contains presence and valency stats for each nest level of the feature. The first item corresponds to the outermost level, and by definition, the stats it contains equals to the corresponding stats defined above. May not be populated if the feature is of nest level 1.
repeated .tensorflow.metadata.v0.PresenceAndValencyStatistics presence_and_valency_stats = 10;
- Definition Classes
- CommonStatistics → CommonStatisticsOrBuilder
- Annotations
- @Override()
- def getPresenceAndValencyStatsCount(): Int
Contains presence and valency stats for each nest level of the feature. The first item corresponds to the outermost level, and by definition, the stats it contains equals to the corresponding stats defined above. May not be populated if the feature is of nest level 1.
Contains presence and valency stats for each nest level of the feature. The first item corresponds to the outermost level, and by definition, the stats it contains equals to the corresponding stats defined above. May not be populated if the feature is of nest level 1.
repeated .tensorflow.metadata.v0.PresenceAndValencyStatistics presence_and_valency_stats = 10;
- Definition Classes
- CommonStatistics → CommonStatisticsOrBuilder
- Annotations
- @Override()
- def getPresenceAndValencyStatsList(): List[PresenceAndValencyStatistics]
Contains presence and valency stats for each nest level of the feature. The first item corresponds to the outermost level, and by definition, the stats it contains equals to the corresponding stats defined above. May not be populated if the feature is of nest level 1.
Contains presence and valency stats for each nest level of the feature. The first item corresponds to the outermost level, and by definition, the stats it contains equals to the corresponding stats defined above. May not be populated if the feature is of nest level 1.
repeated .tensorflow.metadata.v0.PresenceAndValencyStatistics presence_and_valency_stats = 10;
- Definition Classes
- CommonStatistics → CommonStatisticsOrBuilder
- Annotations
- @Override()
- def getPresenceAndValencyStatsOrBuilder(index: Int): PresenceAndValencyStatisticsOrBuilder
Contains presence and valency stats for each nest level of the feature. The first item corresponds to the outermost level, and by definition, the stats it contains equals to the corresponding stats defined above. May not be populated if the feature is of nest level 1.
Contains presence and valency stats for each nest level of the feature. The first item corresponds to the outermost level, and by definition, the stats it contains equals to the corresponding stats defined above. May not be populated if the feature is of nest level 1.
repeated .tensorflow.metadata.v0.PresenceAndValencyStatistics presence_and_valency_stats = 10;
- Definition Classes
- CommonStatistics → CommonStatisticsOrBuilder
- Annotations
- @Override()
- def getPresenceAndValencyStatsOrBuilderList(): List[_ <: PresenceAndValencyStatisticsOrBuilder]
Contains presence and valency stats for each nest level of the feature. The first item corresponds to the outermost level, and by definition, the stats it contains equals to the corresponding stats defined above. May not be populated if the feature is of nest level 1.
Contains presence and valency stats for each nest level of the feature. The first item corresponds to the outermost level, and by definition, the stats it contains equals to the corresponding stats defined above. May not be populated if the feature is of nest level 1.
repeated .tensorflow.metadata.v0.PresenceAndValencyStatistics presence_and_valency_stats = 10;
- Definition Classes
- CommonStatistics → CommonStatisticsOrBuilder
- Annotations
- @Override()
- def getRepeatedField(field: FieldDescriptor, index: Int): AnyRef
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- GeneratedMessageV3 → MessageOrBuilder
- def getRepeatedFieldCount(field: FieldDescriptor): Int
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- GeneratedMessageV3 → MessageOrBuilder
- def getSerializedSize(): Int
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- CommonStatistics → GeneratedMessageV3 → AbstractMessage → MessageLite
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- @Override()
- def getTotNumValues(): Long
tot_num_values = avg_num_values * num_non_missing. This is calculated directly, so should have less numerical error.
tot_num_values = avg_num_values * num_non_missing. This is calculated directly, so should have less numerical error.
uint64 tot_num_values = 8;
- returns
The totNumValues.
- Definition Classes
- CommonStatistics → CommonStatisticsOrBuilder
- Annotations
- @Override()
- def getUnknownFields(): UnknownFieldSet
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- GeneratedMessageV3 → MessageOrBuilder
- def getWeightedCommonStats(): WeightedCommonStatistics
.tensorflow.metadata.v0.WeightedCommonStatistics weighted_common_stats = 7;
.tensorflow.metadata.v0.WeightedCommonStatistics weighted_common_stats = 7;
- returns
The weightedCommonStats.
- Definition Classes
- CommonStatistics → CommonStatisticsOrBuilder
- Annotations
- @Override()
- def getWeightedCommonStatsOrBuilder(): WeightedCommonStatisticsOrBuilder
.tensorflow.metadata.v0.WeightedCommonStatistics weighted_common_stats = 7;
.tensorflow.metadata.v0.WeightedCommonStatistics weighted_common_stats = 7;
- Definition Classes
- CommonStatistics → CommonStatisticsOrBuilder
- Annotations
- @Override()
- def getWeightedPresenceAndValencyStats(index: Int): WeightedCommonStatistics
If not empty, it's parallel to presence_and_valency_stats.
If not empty, it's parallel to presence_and_valency_stats.
repeated .tensorflow.metadata.v0.WeightedCommonStatistics weighted_presence_and_valency_stats = 11;
- Definition Classes
- CommonStatistics → CommonStatisticsOrBuilder
- Annotations
- @Override()
- def getWeightedPresenceAndValencyStatsCount(): Int
If not empty, it's parallel to presence_and_valency_stats.
If not empty, it's parallel to presence_and_valency_stats.
repeated .tensorflow.metadata.v0.WeightedCommonStatistics weighted_presence_and_valency_stats = 11;
- Definition Classes
- CommonStatistics → CommonStatisticsOrBuilder
- Annotations
- @Override()
- def getWeightedPresenceAndValencyStatsList(): List[WeightedCommonStatistics]
If not empty, it's parallel to presence_and_valency_stats.
If not empty, it's parallel to presence_and_valency_stats.
repeated .tensorflow.metadata.v0.WeightedCommonStatistics weighted_presence_and_valency_stats = 11;
- Definition Classes
- CommonStatistics → CommonStatisticsOrBuilder
- Annotations
- @Override()
- def getWeightedPresenceAndValencyStatsOrBuilder(index: Int): WeightedCommonStatisticsOrBuilder
If not empty, it's parallel to presence_and_valency_stats.
If not empty, it's parallel to presence_and_valency_stats.
repeated .tensorflow.metadata.v0.WeightedCommonStatistics weighted_presence_and_valency_stats = 11;
- Definition Classes
- CommonStatistics → CommonStatisticsOrBuilder
- Annotations
- @Override()
- def getWeightedPresenceAndValencyStatsOrBuilderList(): List[_ <: WeightedCommonStatisticsOrBuilder]
If not empty, it's parallel to presence_and_valency_stats.
If not empty, it's parallel to presence_and_valency_stats.
repeated .tensorflow.metadata.v0.WeightedCommonStatistics weighted_presence_and_valency_stats = 11;
- Definition Classes
- CommonStatistics → CommonStatisticsOrBuilder
- Annotations
- @Override()
- def hasFeatureListLengthHistogram(): Boolean
The histogram for the number of features in the feature list (only set if this feature is a non-context feature from a tf.SequenceExample). This is different from num_values_histogram, as num_values_histogram tracks the count of all values for a feature in an example, whereas this tracks the length of the feature list for this feature in an example (where each feature list can contain multiple values).
The histogram for the number of features in the feature list (only set if this feature is a non-context feature from a tf.SequenceExample). This is different from num_values_histogram, as num_values_histogram tracks the count of all values for a feature in an example, whereas this tracks the length of the feature list for this feature in an example (where each feature list can contain multiple values).
.tensorflow.metadata.v0.Histogram feature_list_length_histogram = 9;
- returns
Whether the featureListLengthHistogram field is set.
- Definition Classes
- CommonStatistics → CommonStatisticsOrBuilder
- Annotations
- @Override()
- def hasField(field: FieldDescriptor): Boolean
- Definition Classes
- GeneratedMessageV3 → MessageOrBuilder
- def hasNumValuesHistogram(): Boolean
The quantiles histogram for the number of values in this feature.
The quantiles histogram for the number of values in this feature.
.tensorflow.metadata.v0.Histogram num_values_histogram = 6;
- returns
Whether the numValuesHistogram field is set.
- Definition Classes
- CommonStatistics → CommonStatisticsOrBuilder
- Annotations
- @Override()
- def hasOneof(oneof: OneofDescriptor): Boolean
- Definition Classes
- GeneratedMessageV3 → AbstractMessage → MessageOrBuilder
- def hasWeightedCommonStats(): Boolean
.tensorflow.metadata.v0.WeightedCommonStatistics weighted_common_stats = 7;
.tensorflow.metadata.v0.WeightedCommonStatistics weighted_common_stats = 7;
- returns
Whether the weightedCommonStats field is set.
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- CommonStatistics → CommonStatisticsOrBuilder
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- CommonStatistics → AbstractMessage → Message → AnyRef → Any
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- CommonStatistics → Message → MessageLite
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