Class VectorSizeHint
- All Implemented Interfaces:
Serializable
,org.apache.spark.internal.Logging
,Params
,HasHandleInvalid
,HasInputCol
,DefaultParamsWritable
,Identifiable
,MLWritable
,scala.Serializable
Note: VectorSizeHint modifies inputCol
to include size metadata and does not have an outputCol.
- See Also:
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Nested Class Summary
Nested classes/interfaces inherited from interface org.apache.spark.internal.Logging
org.apache.spark.internal.Logging.SparkShellLoggingFilter
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Constructor Summary
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Method Summary
Modifier and TypeMethodDescriptionCreates a copy of this instance with the same UID and some extra params.int
getSize()
group getParamParam for how to handle invalid entries.inputCol()
Param for input column name.static VectorSizeHint
static MLReader<T>
read()
setHandleInvalid
(String value) setInputCol
(String value) setSize
(int value) size()
The size of Vectors ininputCol
.toString()
Transforms the input dataset.transformSchema
(StructType schema) Check transform validity and derive the output schema from the input schema.uid()
An immutable unique ID for the object and its derivatives.Methods inherited from class org.apache.spark.ml.Transformer
transform, transform, transform
Methods inherited from class org.apache.spark.ml.PipelineStage
params
Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
Methods inherited from interface org.apache.spark.ml.util.DefaultParamsWritable
write
Methods inherited from interface org.apache.spark.ml.param.shared.HasHandleInvalid
getHandleInvalid
Methods inherited from interface org.apache.spark.ml.param.shared.HasInputCol
getInputCol
Methods inherited from interface org.apache.spark.internal.Logging
initializeForcefully, initializeLogIfNecessary, initializeLogIfNecessary, initializeLogIfNecessary$default$2, isTraceEnabled, log, logDebug, logDebug, logError, logError, logInfo, logInfo, logName, logTrace, logTrace, logWarning, logWarning, org$apache$spark$internal$Logging$$log_, org$apache$spark$internal$Logging$$log__$eq
Methods inherited from interface org.apache.spark.ml.util.MLWritable
save
Methods inherited from interface org.apache.spark.ml.param.Params
clear, copyValues, defaultCopy, defaultParamMap, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, onParamChange, paramMap, params, set, set, set, setDefault, setDefault, shouldOwn
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Constructor Details
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VectorSizeHint
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VectorSizeHint
public VectorSizeHint()
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Method Details
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load
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read
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inputCol
Description copied from interface:HasInputCol
Param for input column name.- Specified by:
inputCol
in interfaceHasInputCol
- Returns:
- (undocumented)
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uid
Description copied from interface:Identifiable
An immutable unique ID for the object and its derivatives.- Specified by:
uid
in interfaceIdentifiable
- Returns:
- (undocumented)
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size
The size of Vectors ininputCol
.- Returns:
- (undocumented)
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getSize
public int getSize()group getParam -
setSize
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setInputCol
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handleInvalid
Param for how to handle invalid entries. Invalid vectors include nulls and vectors with the wrong size. The options areskip
(filter out rows with invalid vectors),error
(throw an error) andoptimistic
(do not check the vector size, and keep all rows).error
by default.Note: Users should take care when setting this param to
optimistic
. The use of theoptimistic
option will prevent the transformer from validating the sizes of vectors ininputCol
. A mismatch between the metadata of a column and its contents could result in unexpected behaviour or errors when using that column.- Specified by:
handleInvalid
in interfaceHasHandleInvalid
- Returns:
- (undocumented)
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setHandleInvalid
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transform
Description copied from class:Transformer
Transforms the input dataset.- Specified by:
transform
in classTransformer
- Parameters:
dataset
- (undocumented)- Returns:
- (undocumented)
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transformSchema
Description copied from class:PipelineStage
Check transform validity and derive the output schema from the input schema.We check validity for interactions between parameters during
transformSchema
and raise an exception if any parameter value is invalid. Parameter value checks which do not depend on other parameters are handled byParam.validate()
.Typical implementation should first conduct verification on schema change and parameter validity, including complex parameter interaction checks.
- Specified by:
transformSchema
in classPipelineStage
- Parameters:
schema
- (undocumented)- Returns:
- (undocumented)
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copy
Description copied from interface:Params
Creates a copy of this instance with the same UID and some extra params. Subclasses should implement this method and set the return type properly. SeedefaultCopy()
.- Specified by:
copy
in interfaceParams
- Specified by:
copy
in classTransformer
- Parameters:
extra
- (undocumented)- Returns:
- (undocumented)
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toString
- Specified by:
toString
in interfaceIdentifiable
- Overrides:
toString
in classObject
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