final class DatasetConstraints extends GeneratedMessageV3 with DatasetConstraintsOrBuilder
Constraints on the entire dataset.
Protobuf type tensorflow.metadata.v0.DatasetConstraints
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- DatasetConstraints.java
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- def getDefaultInstanceForType(): DatasetConstraints
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- def getMaxExamplesCount(): Long
Maximum number of examples in the dataset.
Maximum number of examples in the dataset.
optional int64 max_examples_count = 4;
- returns
The maxExamplesCount.
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- DatasetConstraints → DatasetConstraintsOrBuilder
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- def getMinExamplesCount(): Long
Minimum number of examples in the dataset.
Minimum number of examples in the dataset.
optional int64 min_examples_count = 3;
- returns
The minExamplesCount.
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- DatasetConstraints → DatasetConstraintsOrBuilder
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- def getNumExamplesDriftComparator(): NumericValueComparator
Tests differences in number of examples between the current data and the previous span.
Tests differences in number of examples between the current data and the previous span.
optional .tensorflow.metadata.v0.NumericValueComparator num_examples_drift_comparator = 1;
- returns
The numExamplesDriftComparator.
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- DatasetConstraints → DatasetConstraintsOrBuilder
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- def getNumExamplesDriftComparatorOrBuilder(): NumericValueComparatorOrBuilder
Tests differences in number of examples between the current data and the previous span.
Tests differences in number of examples between the current data and the previous span.
optional .tensorflow.metadata.v0.NumericValueComparator num_examples_drift_comparator = 1;
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- def getNumExamplesVersionComparator(): NumericValueComparator
Tests comparisions in number of examples between the current data and the previous version of that data.
Tests comparisions in number of examples between the current data and the previous version of that data.
optional .tensorflow.metadata.v0.NumericValueComparator num_examples_version_comparator = 2;
- returns
The numExamplesVersionComparator.
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- DatasetConstraints → DatasetConstraintsOrBuilder
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- def getNumExamplesVersionComparatorOrBuilder(): NumericValueComparatorOrBuilder
Tests comparisions in number of examples between the current data and the previous version of that data.
Tests comparisions in number of examples between the current data and the previous version of that data.
optional .tensorflow.metadata.v0.NumericValueComparator num_examples_version_comparator = 2;
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- def getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
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- def hasMaxExamplesCount(): Boolean
Maximum number of examples in the dataset.
Maximum number of examples in the dataset.
optional int64 max_examples_count = 4;
- returns
Whether the maxExamplesCount field is set.
- Definition Classes
- DatasetConstraints → DatasetConstraintsOrBuilder
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- @Override()
- def hasMinExamplesCount(): Boolean
Minimum number of examples in the dataset.
Minimum number of examples in the dataset.
optional int64 min_examples_count = 3;
- returns
Whether the minExamplesCount field is set.
- Definition Classes
- DatasetConstraints → DatasetConstraintsOrBuilder
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- @Override()
- def hasNumExamplesDriftComparator(): Boolean
Tests differences in number of examples between the current data and the previous span.
Tests differences in number of examples between the current data and the previous span.
optional .tensorflow.metadata.v0.NumericValueComparator num_examples_drift_comparator = 1;
- returns
Whether the numExamplesDriftComparator field is set.
- Definition Classes
- DatasetConstraints → DatasetConstraintsOrBuilder
- Annotations
- @Override()
- def hasNumExamplesVersionComparator(): Boolean
Tests comparisions in number of examples between the current data and the previous version of that data.
Tests comparisions in number of examples between the current data and the previous version of that data.
optional .tensorflow.metadata.v0.NumericValueComparator num_examples_version_comparator = 2;
- returns
Whether the numExamplesVersionComparator field is set.
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