final class StatFreqItems extends GeneratedMessageV3 with StatFreqItemsOrBuilder
Finding frequent items for columns, possibly with false positives. It will invoke 'Dataset.stat.freqItems' (same as 'StatFunctions.freqItems') to compute the results.
Protobuf type spark.connect.StatFreqItems
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def
getCols(index: Int): String
(Required) The names of the columns to search frequent items in.
(Required) The names of the columns to search frequent items in.
repeated string cols = 2;- index
The index of the element to return.
- returns
The cols at the given index.
- Definition Classes
- StatFreqItems → StatFreqItemsOrBuilder
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def
getColsBytes(index: Int): ByteString
(Required) The names of the columns to search frequent items in.
(Required) The names of the columns to search frequent items in.
repeated string cols = 2;- index
The index of the value to return.
- returns
The bytes of the cols at the given index.
- Definition Classes
- StatFreqItems → StatFreqItemsOrBuilder
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def
getColsCount(): Int
(Required) The names of the columns to search frequent items in.
(Required) The names of the columns to search frequent items in.
repeated string cols = 2;- returns
The count of cols.
- Definition Classes
- StatFreqItems → StatFreqItemsOrBuilder
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def
getColsList(): ProtocolStringList
(Required) The names of the columns to search frequent items in.
(Required) The names of the columns to search frequent items in.
repeated string cols = 2;- returns
A list containing the cols.
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- StatFreqItems → StatFreqItemsOrBuilder
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def
getDefaultInstanceForType(): StatFreqItems
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getDescriptorForType(): Descriptor
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getInitializationErrorString(): String
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getInput(): Relation
(Required) The input relation.
(Required) The input relation.
.spark.connect.Relation input = 1;- returns
The input.
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def
getInputOrBuilder(): RelationOrBuilder
(Required) The input relation.
(Required) The input relation.
.spark.connect.Relation input = 1;- Definition Classes
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def
getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
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def
getParserForType(): Parser[StatFreqItems]
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def
getRepeatedField(field: FieldDescriptor, index: Int): AnyRef
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def
getRepeatedFieldCount(field: FieldDescriptor): Int
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def
getSerializedSize(): Int
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def
getSupport(): Double
(Optional) The minimum frequency for an item to be considered `frequent`. Should be greater than 1e-4.
(Optional) The minimum frequency for an item to be considered `frequent`. Should be greater than 1e-4.
optional double support = 3;- returns
The support.
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def
getUnknownFields(): UnknownFieldSet
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hasField(field: FieldDescriptor): Boolean
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def
hasInput(): Boolean
(Required) The input relation.
(Required) The input relation.
.spark.connect.Relation input = 1;- returns
Whether the input field is set.
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def
hasOneof(oneof: OneofDescriptor): Boolean
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def
hasSupport(): Boolean
(Optional) The minimum frequency for an item to be considered `frequent`. Should be greater than 1e-4.
(Optional) The minimum frequency for an item to be considered `frequent`. Should be greater than 1e-4.
optional double support = 3;- returns
Whether the support field is set.
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def
hashCode(): Int
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internalGetFieldAccessorTable(): FieldAccessorTable
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internalGetMapField(fieldNumber: Int): MapField[_, _]
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isInitialized(): Boolean
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