Uses of Class org.datavec.api.transform.schema.Schema (deeplearning4j 1.0.0-beta6 API)

Packages that use Schema
Package	Description
org.datavec.api.transform
org.datavec.api.transform.analysis
org.datavec.api.transform.condition
org.datavec.api.transform.condition.column
org.datavec.api.transform.condition.sequence
org.datavec.api.transform.filter
org.datavec.api.transform.join
org.datavec.api.transform.ndarray
org.datavec.api.transform.rank
org.datavec.api.transform.reduce
org.datavec.api.transform.reduce.geo
org.datavec.api.transform.reduce.impl
org.datavec.api.transform.schema
org.datavec.api.transform.sequence
org.datavec.api.transform.sequence.comparator
org.datavec.api.transform.sequence.expansion
org.datavec.api.transform.sequence.split
org.datavec.api.transform.sequence.trim
org.datavec.api.transform.sequence.window
org.datavec.api.transform.stringreduce
org.datavec.api.transform.transform
org.datavec.api.transform.transform.categorical
org.datavec.api.transform.transform.column
org.datavec.api.transform.transform.condition
org.datavec.api.transform.transform.doubletransform
org.datavec.api.transform.transform.floattransform
org.datavec.api.transform.transform.geo
org.datavec.api.transform.transform.integer
org.datavec.api.transform.transform.longtransform
org.datavec.api.transform.transform.parse
org.datavec.api.transform.transform.sequence
org.datavec.api.transform.transform.string
org.datavec.api.transform.transform.time
org.datavec.api.transform.ui
org.datavec.api.util.ndarray
org.datavec.arrow
org.datavec.arrow.recordreader
org.datavec.local.transforms
org.datavec.nlp.transforms
org.datavec.python
org.datavec.spark.transform
org.datavec.spark.transform.sparkfunction
org.datavec.spark.transform.utils

Uses of Schema in org.datavec.api.transform

Methods in org.datavec.api.transform that return Schema
Modifier and Type	Method and Description
`Schema`	TransformProcess.`getFinalSchema()` Get the Schema of the output data, after executing the process
`Schema`	ColumnOp.`getInputSchema()` Getter for input schema
`Schema`	DataAction.`getSchema()`
`Schema`	TransformProcess.`getSchemaAfterStep(int step)` Return the schema after executing all steps up to and including the specified step.
`Schema`	ColumnOp.`transform(Schema inputSchema)` Get the output schema for this transformation, given an input schema

Methods in org.datavec.api.transform with parameters of type Schema
Modifier and Type	Method and Description
`void`	ColumnOp.`setInputSchema(Schema inputSchema)` Set the input schema.
`Schema`	ColumnOp.`transform(Schema inputSchema)` Get the output schema for this transformation, given an input schema

Constructors in org.datavec.api.transform with parameters of type Schema
Constructor and Description
`Builder(Schema initialSchema)`
`TransformProcess(Schema initialSchema, List<DataAction> actionList)`

Uses of Schema in org.datavec.api.transform.analysis

Constructors in org.datavec.api.transform.analysis with parameters of type Schema
Constructor and Description
`SequenceDataAnalysis(Schema schema, List<ColumnAnalysis> columnAnalysis, SequenceLengthAnalysis sequenceAnalysis)`

Uses of Schema in org.datavec.api.transform.condition

Methods in org.datavec.api.transform.condition that return Schema
Modifier and Type	Method and Description
`Schema`	Condition.`getInputSchema()` Getter for the input schema
`Schema`	BooleanCondition.`getInputSchema()`
`Schema`	BooleanCondition.`transform(Schema inputSchema)` Get the output schema for this transformation, given an input schema

Methods in org.datavec.api.transform.condition with parameters of type Schema
Modifier and Type	Method and Description
`void`	Condition.`setInputSchema(Schema schema)` Setter for the input schema
`void`	BooleanCondition.`setInputSchema(Schema schema)`
`Schema`	BooleanCondition.`transform(Schema inputSchema)` Get the output schema for this transformation, given an input schema

Uses of Schema in org.datavec.api.transform.condition.column

Fields in org.datavec.api.transform.condition.column declared as Schema
Modifier and Type	Field and Description
`protected Schema`	BaseColumnCondition.`schema`

Methods in org.datavec.api.transform.condition.column that return Schema
Modifier and Type	Method and Description
`Schema`	ColumnCondition.`getInputSchema()`
`Schema`	BaseColumnCondition.`getInputSchema()`
`Schema`	ColumnCondition.`transform(Schema inputSchema)` Get the output schema for this transformation, given an input schema
`Schema`	BaseColumnCondition.`transform(Schema inputSchema)` Get the output schema for this transformation, given an input schema

Methods in org.datavec.api.transform.condition.column with parameters of type Schema
Modifier and Type	Method and Description
`void`	ColumnCondition.`setInputSchema(Schema schema)`
`void`	BaseColumnCondition.`setInputSchema(Schema schema)`
`Schema`	ColumnCondition.`transform(Schema inputSchema)` Get the output schema for this transformation, given an input schema
`Schema`	BaseColumnCondition.`transform(Schema inputSchema)` Get the output schema for this transformation, given an input schema

Uses of Schema in org.datavec.api.transform.condition.sequence

Methods in org.datavec.api.transform.condition.sequence that return Schema
Modifier and Type	Method and Description
`Schema`	SequenceLengthCondition.`getInputSchema()`
`Schema`	SequenceLengthCondition.`transform(Schema inputSchema)`

Methods in org.datavec.api.transform.condition.sequence with parameters of type Schema
Modifier and Type	Method and Description
`void`	SequenceLengthCondition.`setInputSchema(Schema schema)`
`Schema`	SequenceLengthCondition.`transform(Schema inputSchema)`

Uses of Schema in org.datavec.api.transform.filter

Fields in org.datavec.api.transform.filter declared as Schema
Modifier and Type	Field and Description
`protected Schema`	BaseColumnFilter.`schema`

Methods in org.datavec.api.transform.filter that return Schema
Modifier and Type	Method and Description
`Schema`	InvalidNumColumns.`getInputSchema()`
`Schema`	FilterInvalidValues.`getInputSchema()`
`Schema`	Filter.`getInputSchema()`
`Schema`	ConditionFilter.`getInputSchema()`
`Schema`	InvalidNumColumns.`transform(Schema inputSchema)` Get the output schema for this transformation, given an input schema
`Schema`	FilterInvalidValues.`transform(Schema inputSchema)` Get the output schema for this transformation, given an input schema
`Schema`	ConditionFilter.`transform(Schema inputSchema)` Get the output schema for this transformation, given an input schema

Methods in org.datavec.api.transform.filter with parameters of type Schema
Modifier and Type	Method and Description
`void`	InvalidNumColumns.`setInputSchema(Schema schema)`
`void`	FilterInvalidValues.`setInputSchema(Schema schema)`
`void`	Filter.`setInputSchema(Schema schema)`
`void`	ConditionFilter.`setInputSchema(Schema schema)`
`void`	BaseColumnFilter.`setInputSchema(Schema schema)`
`Schema`	InvalidNumColumns.`transform(Schema inputSchema)` Get the output schema for this transformation, given an input schema
`Schema`	FilterInvalidValues.`transform(Schema inputSchema)` Get the output schema for this transformation, given an input schema
`Schema`	ConditionFilter.`transform(Schema inputSchema)` Get the output schema for this transformation, given an input schema

Uses of Schema in org.datavec.api.transform.join

Methods in org.datavec.api.transform.join that return Schema
Modifier and Type	Method and Description
`Schema`	Join.`getOutputSchema()`

Methods in org.datavec.api.transform.join with parameters of type Schema
Modifier and Type	Method and Description
`Join.Builder`	Join.Builder.`setSchemas(Schema left, Schema right)`

Uses of Schema in org.datavec.api.transform.ndarray

Methods in org.datavec.api.transform.ndarray that return Schema
Modifier and Type	Method and Description
`Schema`	NDArrayDistanceTransform.`transform(Schema inputSchema)`

Methods in org.datavec.api.transform.ndarray with parameters of type Schema
Modifier and Type	Method and Description
`protected ColumnMetaData`	NDArrayColumnsMathOpTransform.`derivedColumnMetaData(String newColumnName, Schema inputSchema)`
`void`	NDArrayDistanceTransform.`setInputSchema(Schema inputSchema)`
`Schema`	NDArrayDistanceTransform.`transform(Schema inputSchema)`

Uses of Schema in org.datavec.api.transform.rank

Methods in org.datavec.api.transform.rank that return Schema
Modifier and Type	Method and Description
`Schema`	CalculateSortedRank.`getInputSchema()`
`Schema`	CalculateSortedRank.`transform(Schema inputSchema)`

Methods in org.datavec.api.transform.rank with parameters of type Schema
Modifier and Type	Method and Description
`void`	CalculateSortedRank.`setInputSchema(Schema schema)`
`Schema`	CalculateSortedRank.`transform(Schema inputSchema)`

Uses of Schema in org.datavec.api.transform.reduce

Methods in org.datavec.api.transform.reduce that return Schema
Modifier and Type	Method and Description
`Schema`	Reducer.`getInputSchema()`
`Schema`	IAssociativeReducer.`getInputSchema()`
`Schema`	Reducer.`transform(Schema schema)` Get the output schema, given the input schema
`Schema`	IAssociativeReducer.`transform(Schema schema)`

Methods in org.datavec.api.transform.reduce with parameters of type Schema
Modifier and Type	Method and Description
`void`	Reducer.`setInputSchema(Schema schema)`
`void`	IAssociativeReducer.`setInputSchema(Schema schema)`
`Schema`	Reducer.`transform(Schema schema)` Get the output schema, given the input schema
`Schema`	IAssociativeReducer.`transform(Schema schema)`

Uses of Schema in org.datavec.api.transform.reduce.geo

Methods in org.datavec.api.transform.reduce.geo that return Schema
Modifier and Type	Method and Description
`Schema`	CoordinatesReduction.`getInputSchema()`
`Schema`	CoordinatesReduction.`transform(Schema inputSchema)`

Methods in org.datavec.api.transform.reduce.geo with parameters of type Schema
Modifier and Type	Method and Description
`void`	CoordinatesReduction.`setInputSchema(Schema inputSchema)`
`Schema`	CoordinatesReduction.`transform(Schema inputSchema)`

Uses of Schema in org.datavec.api.transform.reduce.impl

Methods in org.datavec.api.transform.reduce.impl that return Schema
Modifier and Type	Method and Description
`Schema`	GeographicMidpointReduction.`getInputSchema()`
`Schema`	GeographicMidpointReduction.`transform(Schema inputSchema)`

Methods in org.datavec.api.transform.reduce.impl with parameters of type Schema
Modifier and Type	Method and Description
`void`	GeographicMidpointReduction.`setInputSchema(Schema inputSchema)`
`Schema`	GeographicMidpointReduction.`transform(Schema inputSchema)`

Uses of Schema in org.datavec.api.transform.schema

Subclasses of Schema in org.datavec.api.transform.schema
Modifier and Type	Class and Description
`class`	`SequenceSchema` A SequenceSchema is a `Schema` for sequential data.

Methods in org.datavec.api.transform.schema that return Schema
Modifier and Type	Method and Description
`Schema`	Schema.Builder.`build()` Create the Schema
`Schema`	InferredSchema.`build()`
`static Schema`	Schema.`fromJson(String json)` Create a schema from a given json string
`static Schema`	Schema.`fromYaml(String yaml)` Create a schema from the given yaml string
`static Schema`	Schema.`infer(List<Writable> record)` Infers a schema based on the record.
`static Schema`	Schema.`inferMultiple(List<List<Writable>> record)` Infers a schema based on the record.
`Schema`	Schema.`newSchema(List<ColumnMetaData> columnMetaData)` Create a new schema based on the new metadata

Methods in org.datavec.api.transform.schema with parameters of type Schema
Modifier and Type	Method and Description
`List<ColumnMetaData>`	Schema.`differences(Schema schema)` Compute the difference in `ColumnMetaData` between this schema and the passed in schema.
`boolean`	Schema.`sameTypes(Schema schema)` Returns true if the given schema has the same types at each index

Uses of Schema in org.datavec.api.transform.sequence

Methods in org.datavec.api.transform.sequence that return Schema
Modifier and Type	Method and Description
`Schema`	SequenceSplit.`getInputSchema()` Getter for the input schema
`Schema`	ReduceSequenceTransform.`getInputSchema()`
`Schema`	ReduceSequenceTransform.`transform(Schema inputSchema)`
`Schema`	ConvertFromSequence.`transform(SequenceSchema schema)`

Methods in org.datavec.api.transform.sequence with parameters of type Schema
Modifier and Type	Method and Description
`void`	SequenceSplit.`setInputSchema(Schema inputSchema)` Sets the input schema for this split
`void`	ReduceSequenceTransform.`setInputSchema(Schema inputSchema)`
`void`	ConvertToSequence.`setInputSchema(Schema schema)`
`void`	SequenceComparator.`setSchema(Schema sequenceSchema)`
`Schema`	ReduceSequenceTransform.`transform(Schema inputSchema)`
`SequenceSchema`	ConvertToSequence.`transform(Schema schema)`

Uses of Schema in org.datavec.api.transform.sequence.comparator

Fields in org.datavec.api.transform.sequence.comparator declared as Schema
Modifier and Type	Field and Description
`protected Schema`	BaseColumnComparator.`schema`

Methods in org.datavec.api.transform.sequence.comparator that return Schema
Modifier and Type	Method and Description
`Schema`	BaseColumnComparator.`getInputSchema()` Getter for input schema
`Schema`	BaseColumnComparator.`transform(Schema inputSchema)` Get the output schema for this transformation, given an input schema

Methods in org.datavec.api.transform.sequence.comparator with parameters of type Schema
Modifier and Type	Method and Description
`void`	BaseColumnComparator.`setInputSchema(Schema inputSchema)` Set the input schema.
`void`	NumericalColumnComparator.`setSchema(Schema sequenceSchema)`
`void`	BaseColumnComparator.`setSchema(Schema sequenceSchema)`
`Schema`	BaseColumnComparator.`transform(Schema inputSchema)` Get the output schema for this transformation, given an input schema

Uses of Schema in org.datavec.api.transform.sequence.expansion

Fields in org.datavec.api.transform.sequence.expansion declared as Schema
Modifier and Type	Field and Description
`protected Schema`	BaseSequenceExpansionTransform.`inputSchema`

Methods in org.datavec.api.transform.sequence.expansion that return Schema
Modifier and Type	Method and Description
`Schema`	BaseSequenceExpansionTransform.`transform(Schema inputSchema)`

Methods in org.datavec.api.transform.sequence.expansion with parameters of type Schema
Modifier and Type	Method and Description
`Schema`	BaseSequenceExpansionTransform.`transform(Schema inputSchema)`

Uses of Schema in org.datavec.api.transform.sequence.split

Methods in org.datavec.api.transform.sequence.split that return Schema
Modifier and Type	Method and Description
`Schema`	SplitMaxLengthSequence.`getInputSchema()`
`Schema`	SequenceSplitTimeSeparation.`getInputSchema()`

Methods in org.datavec.api.transform.sequence.split with parameters of type Schema
Modifier and Type	Method and Description
`void`	SplitMaxLengthSequence.`setInputSchema(Schema inputSchema)`
`void`	SequenceSplitTimeSeparation.`setInputSchema(Schema inputSchema)`

Uses of Schema in org.datavec.api.transform.sequence.trim

Methods in org.datavec.api.transform.sequence.trim that return Schema
Modifier and Type	Method and Description
`Schema`	SequenceTrimTransform.`getInputSchema()`
`Schema`	SequenceTrimToLengthTransform.`getInputSchema()`
`Schema`	SequenceTrimTransform.`transform(Schema inputSchema)`
`Schema`	SequenceTrimToLengthTransform.`transform(Schema inputSchema)`

Methods in org.datavec.api.transform.sequence.trim with parameters of type Schema
Modifier and Type	Method and Description
`void`	SequenceTrimTransform.`setInputSchema(Schema inputSchema)`
`void`	SequenceTrimToLengthTransform.`setInputSchema(Schema inputSchema)`
`Schema`	SequenceTrimTransform.`transform(Schema inputSchema)`
`Schema`	SequenceTrimToLengthTransform.`transform(Schema inputSchema)`

Uses of Schema in org.datavec.api.transform.sequence.window

Methods in org.datavec.api.transform.sequence.window that return Schema
Modifier and Type	Method and Description
`Schema`	WindowFunction.`getInputSchema()`
`Schema`	TimeWindowFunction.`getInputSchema()`
`Schema`	ReduceSequenceByWindowTransform.`getInputSchema()`
`Schema`	OverlappingTimeWindowFunction.`getInputSchema()`
`Schema`	WindowFunction.`transform(Schema inputSchema)` Get the output schema, given the input schema.
`Schema`	TimeWindowFunction.`transform(Schema inputSchema)`
`Schema`	ReduceSequenceByWindowTransform.`transform(Schema inputSchema)`
`Schema`	OverlappingTimeWindowFunction.`transform(Schema inputSchema)`

Methods in org.datavec.api.transform.sequence.window with parameters of type Schema
Modifier and Type	Method and Description
`void`	WindowFunction.`setInputSchema(Schema schema)`
`void`	TimeWindowFunction.`setInputSchema(Schema schema)`
`void`	ReduceSequenceByWindowTransform.`setInputSchema(Schema inputSchema)`
`void`	OverlappingTimeWindowFunction.`setInputSchema(Schema schema)`
`Schema`	WindowFunction.`transform(Schema inputSchema)` Get the output schema, given the input schema.
`Schema`	TimeWindowFunction.`transform(Schema inputSchema)`
`Schema`	ReduceSequenceByWindowTransform.`transform(Schema inputSchema)`
`Schema`	OverlappingTimeWindowFunction.`transform(Schema inputSchema)`

Uses of Schema in org.datavec.api.transform.stringreduce

Methods in org.datavec.api.transform.stringreduce that return Schema
Modifier and Type	Method and Description
`Schema`	StringReducer.`getInputSchema()`
`Schema`	IStringReducer.`getInputSchema()`
`Schema`	StringReducer.`transform(Schema schema)` Get the output schema, given the input schema
`Schema`	IStringReducer.`transform(Schema schema)`

Methods in org.datavec.api.transform.stringreduce with parameters of type Schema
Modifier and Type	Method and Description
`void`	StringReducer.`setInputSchema(Schema schema)`
`void`	IStringReducer.`setInputSchema(Schema schema)`
`Schema`	StringReducer.`transform(Schema schema)` Get the output schema, given the input schema
`Schema`	IStringReducer.`transform(Schema schema)`

Uses of Schema in org.datavec.api.transform.transform

Fields in org.datavec.api.transform.transform declared as Schema
Modifier and Type	Field and Description
`protected Schema`	BaseTransform.`inputSchema`

Methods in org.datavec.api.transform.transform that return Schema
Modifier and Type	Method and Description
`Schema`	BaseTransform.`getInputSchema()`
`Schema`	BaseColumnsMathOpTransform.`getInputSchema()`
`Schema`	BaseColumnTransform.`transform(Schema schema)`
`Schema`	BaseColumnsMathOpTransform.`transform(Schema inputSchema)`

Methods in org.datavec.api.transform.transform with parameters of type Schema
Modifier and Type	Method and Description
`protected abstract ColumnMetaData`	BaseColumnsMathOpTransform.`derivedColumnMetaData(String newColumnName, Schema inputSchema)`
`void`	BaseTransform.`setInputSchema(Schema inputSchema)`
`void`	BaseColumnTransform.`setInputSchema(Schema inputSchema)`
`void`	BaseColumnsMathOpTransform.`setInputSchema(Schema inputSchema)`
`Schema`	BaseColumnTransform.`transform(Schema schema)`
`Schema`	BaseColumnsMathOpTransform.`transform(Schema inputSchema)`

Uses of Schema in org.datavec.api.transform.transform.categorical

Methods in org.datavec.api.transform.transform.categorical that return Schema
Modifier and Type	Method and Description
`Schema`	PivotTransform.`transform(Schema inputSchema)`
`Schema`	FirstDigitTransform.`transform(Schema inputSchema)`
`Schema`	CategoricalToOneHotTransform.`transform(Schema schema)`
`Schema`	CategoricalToIntegerTransform.`transform(Schema schema)`

Methods in org.datavec.api.transform.transform.categorical with parameters of type Schema
Modifier and Type	Method and Description
`void`	FirstDigitTransform.`setInputSchema(Schema schema)`
`void`	CategoricalToOneHotTransform.`setInputSchema(Schema inputSchema)`
`void`	CategoricalToIntegerTransform.`setInputSchema(Schema inputSchema)`
`Schema`	PivotTransform.`transform(Schema inputSchema)`
`Schema`	FirstDigitTransform.`transform(Schema inputSchema)`
`Schema`	CategoricalToOneHotTransform.`transform(Schema schema)`
`Schema`	CategoricalToIntegerTransform.`transform(Schema schema)`

Uses of Schema in org.datavec.api.transform.transform.column

Methods in org.datavec.api.transform.transform.column that return Schema
Modifier and Type	Method and Description
`Schema`	ReorderColumnsTransform.`getInputSchema()`
`Schema`	RenameColumnsTransform.`getInputSchema()`
`Schema`	DuplicateColumnsTransform.`getInputSchema()`
`Schema`	AddConstantColumnTransform.`getInputSchema()`
`Schema`	ReorderColumnsTransform.`transform(Schema inputSchema)`
`Schema`	RenameColumnsTransform.`transform(Schema inputSchema)`
`Schema`	RemoveColumnsTransform.`transform(Schema schema)`
`Schema`	RemoveAllColumnsExceptForTransform.`transform(Schema schema)`
`Schema`	DuplicateColumnsTransform.`transform(Schema inputSchema)`
`Schema`	AddConstantColumnTransform.`transform(Schema inputSchema)`

Methods in org.datavec.api.transform.transform.column with parameters of type Schema
Modifier and Type	Method and Description
`void`	ReorderColumnsTransform.`setInputSchema(Schema inputSchema)`
`void`	RenameColumnsTransform.`setInputSchema(Schema inputSchema)`
`void`	RemoveColumnsTransform.`setInputSchema(Schema schema)`
`void`	RemoveAllColumnsExceptForTransform.`setInputSchema(Schema schema)`
`void`	DuplicateColumnsTransform.`setInputSchema(Schema inputSchema)`
`void`	AddConstantColumnTransform.`setInputSchema(Schema inputSchema)`
`Schema`	ReorderColumnsTransform.`transform(Schema inputSchema)`
`Schema`	RenameColumnsTransform.`transform(Schema inputSchema)`
`Schema`	RemoveColumnsTransform.`transform(Schema schema)`
`Schema`	RemoveAllColumnsExceptForTransform.`transform(Schema schema)`
`Schema`	DuplicateColumnsTransform.`transform(Schema inputSchema)`
`Schema`	AddConstantColumnTransform.`transform(Schema inputSchema)`

Uses of Schema in org.datavec.api.transform.transform.condition

Methods in org.datavec.api.transform.transform.condition that return Schema
Modifier and Type	Method and Description
`Schema`	ConditionalReplaceValueTransformWithDefault.`getInputSchema()`
`Schema`	ConditionalReplaceValueTransform.`getInputSchema()`
`Schema`	ConditionalCopyValueTransform.`getInputSchema()`
`Schema`	ConditionalReplaceValueTransformWithDefault.`transform(Schema inputSchema)`
`Schema`	ConditionalReplaceValueTransform.`transform(Schema inputSchema)`
`Schema`	ConditionalCopyValueTransform.`transform(Schema inputSchema)`

Methods in org.datavec.api.transform.transform.condition with parameters of type Schema
Modifier and Type	Method and Description
`void`	ConditionalReplaceValueTransformWithDefault.`setInputSchema(Schema inputSchema)`
`void`	ConditionalReplaceValueTransform.`setInputSchema(Schema inputSchema)`
`void`	ConditionalCopyValueTransform.`setInputSchema(Schema inputSchema)`
`Schema`	ConditionalReplaceValueTransformWithDefault.`transform(Schema inputSchema)`
`Schema`	ConditionalReplaceValueTransform.`transform(Schema inputSchema)`
`Schema`	ConditionalCopyValueTransform.`transform(Schema inputSchema)`

Uses of Schema in org.datavec.api.transform.transform.doubletransform

Methods in org.datavec.api.transform.transform.doubletransform with parameters of type Schema
Modifier and Type	Method and Description
`protected ColumnMetaData`	DoubleColumnsMathOpTransform.`derivedColumnMetaData(String newColumnName, Schema inputSchema)`

Uses of Schema in org.datavec.api.transform.transform.floattransform

Methods in org.datavec.api.transform.transform.floattransform with parameters of type Schema
Modifier and Type	Method and Description
`protected ColumnMetaData`	FloatColumnsMathOpTransform.`derivedColumnMetaData(String newColumnName, Schema inputSchema)`

Uses of Schema in org.datavec.api.transform.transform.geo

Methods in org.datavec.api.transform.transform.geo with parameters of type Schema
Modifier and Type	Method and Description
`protected ColumnMetaData`	CoordinatesDistanceTransform.`derivedColumnMetaData(String newColumnName, Schema inputSchema)`

Uses of Schema in org.datavec.api.transform.transform.integer

Methods in org.datavec.api.transform.transform.integer that return Schema
Modifier and Type	Method and Description
`Schema`	IntegerToOneHotTransform.`transform(Schema schema)`

Methods in org.datavec.api.transform.transform.integer with parameters of type Schema
Modifier and Type	Method and Description
`protected ColumnMetaData`	IntegerColumnsMathOpTransform.`derivedColumnMetaData(String newColumnName, Schema inputSchema)`
`void`	IntegerToOneHotTransform.`setInputSchema(Schema inputSchema)`
`Schema`	IntegerToOneHotTransform.`transform(Schema schema)`

Uses of Schema in org.datavec.api.transform.transform.longtransform

Methods in org.datavec.api.transform.transform.longtransform with parameters of type Schema
Modifier and Type	Method and Description
`protected ColumnMetaData`	LongColumnsMathOpTransform.`derivedColumnMetaData(String newColumnName, Schema inputSchema)`

Uses of Schema in org.datavec.api.transform.transform.parse

Methods in org.datavec.api.transform.transform.parse that return Schema
Modifier and Type	Method and Description
`Schema`	ParseDoubleTransform.`transform(Schema inputSchema)` Get the output schema for this transformation, given an input schema

Methods in org.datavec.api.transform.transform.parse with parameters of type Schema
Modifier and Type	Method and Description
`Schema`	ParseDoubleTransform.`transform(Schema inputSchema)` Get the output schema for this transformation, given an input schema

Uses of Schema in org.datavec.api.transform.transform.sequence

Methods in org.datavec.api.transform.transform.sequence that return Schema
Modifier and Type	Method and Description
`Schema`	SequenceMovingWindowReduceTransform.`getInputSchema()`
`Schema`	SequenceDifferenceTransform.`getInputSchema()`
`Schema`	SequenceOffsetTransform.`transform(Schema inputSchema)`
`Schema`	SequenceMovingWindowReduceTransform.`transform(Schema inputSchema)`
`Schema`	SequenceDifferenceTransform.`transform(Schema inputSchema)`

Methods in org.datavec.api.transform.transform.sequence with parameters of type Schema
Modifier and Type	Method and Description
`void`	SequenceOffsetTransform.`setInputSchema(Schema inputSchema)`
`void`	SequenceMovingWindowReduceTransform.`setInputSchema(Schema inputSchema)`
`void`	SequenceDifferenceTransform.`setInputSchema(Schema inputSchema)`
`Schema`	SequenceOffsetTransform.`transform(Schema inputSchema)`
`Schema`	SequenceMovingWindowReduceTransform.`transform(Schema inputSchema)`
`Schema`	SequenceDifferenceTransform.`transform(Schema inputSchema)`

Uses of Schema in org.datavec.api.transform.transform.string

Methods in org.datavec.api.transform.transform.string that return Schema
Modifier and Type	Method and Description
`Schema`	ConcatenateStringColumns.`getInputSchema()`
`Schema`	StringListToCountsNDArrayTransform.`transform(Schema inputSchema)`
`Schema`	StringListToCategoricalSetTransform.`transform(Schema inputSchema)`
`Schema`	ConcatenateStringColumns.`transform(Schema inputSchema)`

Methods in org.datavec.api.transform.transform.string with parameters of type Schema
Modifier and Type	Method and Description
`void`	StringListToCountsNDArrayTransform.`setInputSchema(Schema inputSchema)`
`void`	StringListToCategoricalSetTransform.`setInputSchema(Schema inputSchema)`
`void`	ConcatenateStringColumns.`setInputSchema(Schema inputSchema)`
`Schema`	StringListToCountsNDArrayTransform.`transform(Schema inputSchema)`
`Schema`	StringListToCategoricalSetTransform.`transform(Schema inputSchema)`
`Schema`	ConcatenateStringColumns.`transform(Schema inputSchema)`

Uses of Schema in org.datavec.api.transform.transform.time

Methods in org.datavec.api.transform.transform.time that return Schema
Modifier and Type	Method and Description
`Schema`	DeriveColumnsFromTimeTransform.`getInputSchema()`
`Schema`	DeriveColumnsFromTimeTransform.`transform(Schema inputSchema)`

Methods in org.datavec.api.transform.transform.time with parameters of type Schema
Modifier and Type	Method and Description
`void`	DeriveColumnsFromTimeTransform.`setInputSchema(Schema inputSchema)`
`Schema`	DeriveColumnsFromTimeTransform.`transform(Schema inputSchema)`

Uses of Schema in org.datavec.api.transform.ui

Methods in org.datavec.api.transform.ui with parameters of type Schema
Modifier and Type	Method and Description
`static void`	HtmlSequencePlotting.`createHtmlSequencePlotFile(String title, Schema schema, List<List<Writable>> sequence, File output)` Create a HTML file with plots for the given sequence and write it to a file.
`static String`	HtmlSequencePlotting.`createHtmlSequencePlots(String title, Schema schema, List<List<Writable>> sequence)` Create a HTML file with plots for the given sequence.

Uses of Schema in org.datavec.api.util.ndarray

Methods in org.datavec.api.util.ndarray with parameters of type Schema
Modifier and Type	Method and Description
`static List<Writable>`	RecordConverter.`toRecord(Schema schema, List<Object> source)` Convert a collection into a `List`, i.e. a record that can be used with other datavec methods.

Uses of Schema in org.datavec.arrow

Methods in org.datavec.arrow that return Schema
Modifier and Type	Method and Description
`static Schema`	ArrowConverter.`toDatavecSchema(org.apache.arrow.vector.types.pojo.Schema schema)` Convert an `Schema` to a datavec `Schema`

Methods in org.datavec.arrow that return types with arguments of type Schema
Modifier and Type	Method and Description
`static Pair<Schema,ArrowWritableRecordBatch>`	ArrowConverter.`readFromBytes(byte[] input)` Read a datavec schema and record set from the given bytes (usually expected to be an arrow format file)
`static Pair<Schema,ArrowWritableRecordBatch>`	ArrowConverter.`readFromFile(File input)` Read a datavec schema and record set from the given arrow file.
`static Pair<Schema,ArrowWritableRecordBatch>`	ArrowConverter.`readFromFile(FileInputStream input)` Read a datavec schema and record set from the given arrow file.

Methods in org.datavec.arrow with parameters of type Schema
Modifier and Type	Method and Description
`static List<org.apache.arrow.vector.FieldVector>`	ArrowConverter.`toArrowColumns(org.apache.arrow.memory.BufferAllocator bufferAllocator, Schema schema, List<List<Writable>> dataVecRecord)` Given a buffer allocator and datavec schema, convert the passed in batch of records to a set of arrow columns
`static List<org.apache.arrow.vector.FieldVector>`	ArrowConverter.`toArrowColumnsString(org.apache.arrow.memory.BufferAllocator bufferAllocator, Schema schema, List<List<String>> dataVecRecord)` Convert a set of input strings to arrow columns
`static List<org.apache.arrow.vector.FieldVector>`	ArrowConverter.`toArrowColumnsStringSingle(org.apache.arrow.memory.BufferAllocator bufferAllocator, Schema schema, List<String> dataVecRecord)` Convert a set of input strings to arrow columns
`static List<org.apache.arrow.vector.FieldVector>`	ArrowConverter.`toArrowColumnsStringTimeSeries(org.apache.arrow.memory.BufferAllocator bufferAllocator, Schema schema, List<List<List<String>>> dataVecRecord)` Convert a set of input strings to arrow columns for a time series.
`static List<org.apache.arrow.vector.FieldVector>`	ArrowConverter.`toArrowColumnsTimeSeries(org.apache.arrow.memory.BufferAllocator bufferAllocator, Schema schema, List<List<List<Writable>>> dataVecRecord)` Convert a set of input strings to arrow columns for a time series.
`static <T> List<org.apache.arrow.vector.FieldVector>`	ArrowConverter.`toArrowColumnsTimeSeriesHelper(org.apache.arrow.memory.BufferAllocator bufferAllocator, Schema schema, List<List<List<T>>> dataVecRecord)` Convert a set of input strings to arrow columns for a time series.
`static org.apache.arrow.vector.types.pojo.Schema`	ArrowConverter.`toArrowSchema(Schema schema)` Convert a data vec `Schema` to an arrow `Schema`
`static ArrowWritableRecordBatch`	ArrowConverter.`toArrowWritables(List<org.apache.arrow.vector.FieldVector> fieldVectors, Schema schema)` Convert the input field vectors (the input data) and the given schema to a proper list of writables.
`static List<Writable>`	ArrowConverter.`toArrowWritablesSingle(List<org.apache.arrow.vector.FieldVector> fieldVectors, Schema schema)` Return a singular record based on the converted writables result.
`static List<List<List<Writable>>>`	ArrowConverter.`toArrowWritablesTimeSeries(List<org.apache.arrow.vector.FieldVector> fieldVectors, Schema schema, int timeSeriesLength)` Convert the input field vectors (the input data) and the given schema to a proper list of writables.
`static void`	ArrowConverter.`writeRecordBatchTo(org.apache.arrow.memory.BufferAllocator bufferAllocator, List<List<Writable>> recordBatch, Schema inputSchema, OutputStream outputStream)` Write the records to the given output stream
`static void`	ArrowConverter.`writeRecordBatchTo(List<List<Writable>> recordBatch, Schema inputSchema, OutputStream outputStream)` Write the records to the given output stream

Uses of Schema in org.datavec.arrow.recordreader

Constructors in org.datavec.arrow.recordreader with parameters of type Schema
Constructor and Description
`ArrowRecordWriter(Schema schema)`
`ArrowWritableRecordBatch(List<org.apache.arrow.vector.FieldVector> list, Schema schema)` An index in to an individual `ArrowRecordBatch`
`ArrowWritableRecordBatch(List<org.apache.arrow.vector.FieldVector> list, Schema schema, int offset, int rows)`
`ArrowWritableRecordTimeSeriesBatch(List<org.apache.arrow.vector.FieldVector> list, Schema schema, int timeSeriesStride)` An index in to an individual `ArrowRecordBatch`

Uses of Schema in org.datavec.local.transforms

Methods in org.datavec.local.transforms with parameters of type Schema
Modifier and Type	Method and Description
`static DataAnalysis`	AnalyzeLocal.`analyze(Schema schema, RecordReader rr)` Analyse the specified data - returns a DataAnalysis object with summary information about each column
`static DataAnalysis`	AnalyzeLocal.`analyze(Schema schema, RecordReader rr, int maxHistogramBuckets)` Analyse the specified data - returns a DataAnalysis object with summary information about each column
`static DataQualityAnalysis`	AnalyzeLocal.`analyzeQuality(Schema schema, RecordReader data)` Analyze the data quality of data - provides a report on missing values, values that don't comply with schema, etc
`static DataQualityAnalysis`	AnalyzeLocal.`analyzeQualitySequence(Schema schema, SequenceRecordReader data)` Analyze the data quality of sequence data - provides a report on missing values, values that don't comply with schema, etc
`static List<List<Writable>>`	LocalTransformExecutor.`convertStringInput(List<List<String>> stringInput, Schema schema)` Convert a string time series to the proper writable set based on the schema.
`static List<List<List<Writable>>>`	LocalTransformExecutor.`convertStringInputTimeSeries(List<List<List<String>>> stringInput, Schema schema)` Convert a string time series to the proper writable set based on the schema.
`static List<List<String>>`	LocalTransformExecutor.`convertWritableInputToString(List<List<Writable>> stringInput, Schema schema)` Convert a string time series to the proper writable set based on the schema.
`static List<List<List<String>>>`	LocalTransformExecutor.`convertWritableInputToStringTimeSeries(List<List<List<Writable>>> stringInput, Schema schema)` Convert a string time series to the proper writable set based on the schema.
`static Map<String,Set<Writable>>`	AnalyzeLocal.`getUnique(List<String> columnNames, Schema schema, RecordReader data)` Get a list of unique values from the specified columns.
`static Set<Writable>`	AnalyzeLocal.`getUnique(String columnName, Schema schema, RecordReader data)` Get a list of unique values from the specified columns.
`static Map<String,Set<Writable>>`	AnalyzeLocal.`getUniqueSequence(List<String> columnNames, Schema schema, SequenceRecordReader sequenceData)` Get a list of unique values from the specified columns of a sequence
`static Set<Writable>`	AnalyzeLocal.`getUniqueSequence(String columnName, Schema schema, SequenceRecordReader sequenceData)` Get a list of unique values from the specified column of a sequence

Uses of Schema in org.datavec.nlp.transforms

Methods in org.datavec.nlp.transforms that return Schema
Modifier and Type	Method and Description
`Schema`	TokenizerBagOfWordsTermSequenceIndexTransform.`transform(Schema inputSchema)`

Methods in org.datavec.nlp.transforms with parameters of type Schema
Modifier and Type	Method and Description
`Schema`	TokenizerBagOfWordsTermSequenceIndexTransform.`transform(Schema inputSchema)`

Uses of Schema in org.datavec.python

Methods in org.datavec.python that return Schema
Modifier and Type	Method and Description
`static Schema`	PythonUtils.`fromPythonVariables(PythonVariables input)` Create a `Schema` from `PythonVariables`.
`Schema`	PythonTransform.`getInputSchema()`
`Schema`	PythonCondition.`getInputSchema()`
`Schema`	PythonTransform.`transform(Schema inputSchema)`
`Schema`	PythonCondition.`transform(Schema inputSchema)`

Methods in org.datavec.python with parameters of type Schema
Modifier and Type	Method and Description
`static PythonVariables`	PythonUtils.`fromSchema(Schema input)` Create a `Schema` from an input `PythonVariables` Types are mapped to types of the same name
`static PythonVariables`	PythonUtils.`schemaToPythonVariables(Schema schema)` Convert a `Schema` to `PythonVariables`
`void`	PythonTransform.`setInputSchema(Schema inputSchema)`
`void`	PythonCondition.`setInputSchema(Schema inputSchema)`
`Schema`	PythonTransform.`transform(Schema inputSchema)`
`Schema`	PythonCondition.`transform(Schema inputSchema)`

Constructors in org.datavec.python with parameters of type Schema
Constructor and Description
`PythonTransform(String code, PythonVariables inputs, PythonVariables outputs, String name, Schema inputSchema, Schema outputSchema, String outputDict, boolean returnAllInputs, boolean setupAndRun)`

Uses of Schema in org.datavec.spark.transform

Methods in org.datavec.spark.transform that return Schema
Modifier and Type	Method and Description
`static Schema`	DataFrames.`fromStructType(org.apache.spark.sql.types.StructType structType)` Create a datavec schema from a struct type

Methods in org.datavec.spark.transform that return types with arguments of type Schema
Modifier and Type	Method and Description
`static Pair<Schema,org.apache.spark.api.java.JavaRDD<List<Writable>>>`	DataFrames.`toRecords(org.apache.spark.sql.Dataset<org.apache.spark.sql.Row> dataFrame)` Create a compatible schema and rdd for datavec
`static Pair<Schema,org.apache.spark.api.java.JavaRDD<List<List<Writable>>>>`	DataFrames.`toRecordsSequence(org.apache.spark.sql.Dataset<org.apache.spark.sql.Row> dataFrame)` Convert the given DataFrame to a sequence Note: It is assumed here that the DataFrame has been created by `DataFrames.toDataFrameSequence(Schema, JavaRDD)`.

Methods in org.datavec.spark.transform with parameters of type Schema
Modifier and Type	Method and Description
`static DataAnalysis`	AnalyzeSpark.`analyze(Schema schema, org.apache.spark.api.java.JavaRDD<List<Writable>> data)` Analyse the specified data - returns a DataAnalysis object with summary information about each column
`static DataAnalysis`	AnalyzeSpark.`analyze(Schema schema, org.apache.spark.api.java.JavaRDD<List<Writable>> data, int maxHistogramBuckets)`
`static DataQualityAnalysis`	AnalyzeSpark.`analyzeQuality(Schema schema, org.apache.spark.api.java.JavaRDD<List<Writable>> data)` Analyze the data quality of data - provides a report on missing values, values that don't comply with schema, etc
`static DataQualityAnalysis`	AnalyzeSpark.`analyzeQualitySequence(Schema schema, org.apache.spark.api.java.JavaRDD<List<List<Writable>>> data)` Analyze the data quality of sequence data - provides a report on missing values, values that don't comply with schema, etc
`static SequenceDataAnalysis`	AnalyzeSpark.`analyzeSequence(Schema schema, org.apache.spark.api.java.JavaRDD<List<List<Writable>>> data)`
`static SequenceDataAnalysis`	AnalyzeSpark.`analyzeSequence(Schema schema, org.apache.spark.api.java.JavaRDD<List<List<Writable>>> data, int maxHistogramBuckets)`
`static org.apache.spark.sql.types.StructType`	DataFrames.`fromSchema(Schema schema)` Convert a datavec schema to a struct type in spark
`static org.apache.spark.sql.types.StructType`	DataFrames.`fromSchemaSequence(Schema schema)` Convert the DataVec sequence schema to a StructType for Spark, for example for use in `DataFrames.toDataFrameSequence(Schema, JavaRDD)`} Note: as per `DataFrames.toDataFrameSequence(Schema, JavaRDD)`}, the StructType has two additional columns added to it: - Column 0: Sequence UUID (name: `DataFrames.SEQUENCE_UUID_COLUMN`) - a UUID for the original sequence - Column 1: Sequence index (name: `DataFrames.SEQUENCE_INDEX_COLUMN` - an index (integer, starting at 0) for the position of this record in the original time series.
`static Map<String,List<Writable>>`	AnalyzeSpark.`getUnique(List<String> columnNames, Schema schema, org.apache.spark.api.java.JavaRDD<List<Writable>> data)` Get a list of unique values from the specified columns.
`static List<Writable>`	AnalyzeSpark.`getUnique(String columnName, Schema schema, org.apache.spark.api.java.JavaRDD<List<Writable>> data)` Get a list of unique values from the specified columns.
`static Map<String,List<Writable>>`	AnalyzeSpark.`getUniqueSequence(List<String> columnNames, Schema schema, org.apache.spark.api.java.JavaRDD<List<List<Writable>>> sequenceData)` Get a list of unique values from the specified columns of a sequence
`static List<Writable>`	AnalyzeSpark.`getUniqueSequence(String columnName, Schema schema, org.apache.spark.api.java.JavaRDD<List<List<Writable>>> sequenceData)` Get a list of unique values from the specified column of a sequence
`static Writable`	AnalyzeSpark.`max(org.apache.spark.api.java.JavaRDD<List<Writable>> allData, String columnName, Schema schema)` Get the maximum value for the specified column
`static Writable`	AnalyzeSpark.`min(org.apache.spark.api.java.JavaRDD<List<Writable>> allData, String columnName, Schema schema)` Get the minimum value for the specified column
`static org.apache.spark.api.java.JavaRDD<List<Writable>>`	Normalization.`normalize(Schema schema, org.apache.spark.api.java.JavaRDD<List<Writable>> data)` Scale all data 0 to 1
`static org.apache.spark.api.java.JavaRDD<List<Writable>>`	Normalization.`normalize(Schema schema, org.apache.spark.api.java.JavaRDD<List<Writable>> data, double min, double max)` Scale based on min,max
`static org.apache.spark.api.java.JavaRDD<List<Writable>>`	Normalization.`normalize(Schema schema, org.apache.spark.api.java.JavaRDD<List<Writable>> data, double min, double max, List<String> skipColumns)` Scale based on min,max
`static org.apache.spark.api.java.JavaRDD<List<Writable>>`	Normalization.`normalize(Schema schema, org.apache.spark.api.java.JavaRDD<List<Writable>> data, List<String> skipColumns)` Scale all data 0 to 1
`static org.apache.spark.api.java.JavaRDD<List<List<Writable>>>`	Normalization.`normalizeSequence(Schema schema, org.apache.spark.api.java.JavaRDD<List<List<Writable>>> data)`
`static org.apache.spark.api.java.JavaRDD<List<List<Writable>>>`	Normalization.`normalizeSequence(Schema schema, org.apache.spark.api.java.JavaRDD<List<List<Writable>>> data, double min, double max)` Normalize each column of a sequence, based on min/max
`static org.apache.spark.api.java.JavaRDD<List<List<Writable>>>`	Normalization.`normalizeSequence(Schema schema, org.apache.spark.api.java.JavaRDD<List<List<Writable>>> data, double min, double max, List<String> excludeColumns)` Normalize each column of a sequence, based on min/max
`static List<Writable>`	DataFrames.`rowToWritables(Schema schema, org.apache.spark.sql.Row row)` Convert a given Row to a list of writables, given the specified Schema
`static List<Writable>`	AnalyzeSpark.`sampleFromColumn(int count, String columnName, Schema schema, org.apache.spark.api.java.JavaRDD<List<Writable>> data)` Randomly sample values from a single column
`static List<Writable>`	AnalyzeSpark.`sampleFromColumnSequence(int count, String columnName, Schema schema, org.apache.spark.api.java.JavaRDD<List<List<Writable>>> sequenceData)` Randomly sample values from a single column, in all sequences.
`static List<Writable>`	AnalyzeSpark.`sampleInvalidFromColumn(int numToSample, String columnName, Schema schema, org.apache.spark.api.java.JavaRDD<List<Writable>> data)` Randomly sample a set of invalid values from a specified column.
`static List<Writable>`	AnalyzeSpark.`sampleInvalidFromColumn(int numToSample, String columnName, Schema schema, org.apache.spark.api.java.JavaRDD<List<Writable>> data, boolean ignoreMissing)` Randomly sample a set of invalid values from a specified column.
`static List<Writable>`	AnalyzeSpark.`sampleInvalidFromColumnSequence(int numToSample, String columnName, Schema schema, org.apache.spark.api.java.JavaRDD<List<List<Writable>>> data)` Randomly sample a set of invalid values from a specified column, for a sequence data set.
`static Map<Writable,Long>`	AnalyzeSpark.`sampleMostFrequentFromColumn(int nMostFrequent, String columnName, Schema schema, org.apache.spark.api.java.JavaRDD<List<Writable>> data)` Sample the N most frequently occurring values in the specified column
`static org.apache.spark.sql.Dataset<org.apache.spark.sql.Row>`	DataFrames.`toDataFrame(Schema schema, org.apache.spark.api.java.JavaRDD<List<Writable>> data)` Creates a data frame from a collection of writables rdd given a schema
`static org.apache.spark.sql.Dataset<org.apache.spark.sql.Row>`	DataFrames.`toDataFrameSequence(Schema schema, org.apache.spark.api.java.JavaRDD<List<List<Writable>>> data)` Convert the given sequence data set to a DataFrame.
`static org.apache.spark.api.java.JavaRDD<List<Writable>>`	Normalization.`zeromeanUnitVariance(Schema schema, org.apache.spark.api.java.JavaRDD<List<Writable>> data)` Normalize by zero mean unit variance
`static org.apache.spark.api.java.JavaRDD<List<Writable>>`	Normalization.`zeromeanUnitVariance(Schema schema, org.apache.spark.api.java.JavaRDD<List<Writable>> data, List<String> skipColumns)` Normalize by zero mean unit variance
`static org.apache.spark.api.java.JavaRDD<List<List<Writable>>>`	Normalization.`zeroMeanUnitVarianceSequence(Schema schema, org.apache.spark.api.java.JavaRDD<List<List<Writable>>> sequence)` Normalize the sequence by zero mean unit variance
`static org.apache.spark.api.java.JavaRDD<List<List<Writable>>>`	Normalization.`zeroMeanUnitVarianceSequence(Schema schema, org.apache.spark.api.java.JavaRDD<List<List<Writable>>> sequence, List<String> excludeColumns)` Normalize the sequence by zero mean unit variance

Uses of Schema in org.datavec.spark.transform.sparkfunction

Constructors in org.datavec.spark.transform.sparkfunction with parameters of type Schema
Constructor and Description
`SequenceToRows(Schema schema)`
`ToRow(Schema schema)`

Uses of Schema in org.datavec.spark.transform.utils

Methods in org.datavec.spark.transform.utils with parameters of type Schema
Modifier and Type	Method and Description
`static void`	SparkUtils.`writeSchema(String outputPath, Schema schema, org.apache.spark.api.java.JavaSparkContext sc)` Write a schema to a HDFS (or, local) file in a human-readable format

Uses of Classorg.datavec.api.transform.schema.Schema

Uses of Schema in org.datavec.api.transform

Uses of Schema in org.datavec.api.transform.analysis

Uses of Schema in org.datavec.api.transform.condition

Uses of Schema in org.datavec.api.transform.condition.column

Uses of Schema in org.datavec.api.transform.condition.sequence

Uses of Schema in org.datavec.api.transform.filter

Uses of Schema in org.datavec.api.transform.join

Uses of Schema in org.datavec.api.transform.ndarray

Uses of Schema in org.datavec.api.transform.rank

Uses of Schema in org.datavec.api.transform.reduce

Uses of Schema in org.datavec.api.transform.reduce.geo

Uses of Schema in org.datavec.api.transform.reduce.impl

Uses of Schema in org.datavec.api.transform.schema

Uses of Schema in org.datavec.api.transform.sequence

Uses of Schema in org.datavec.api.transform.sequence.comparator

Uses of Schema in org.datavec.api.transform.sequence.expansion

Uses of Schema in org.datavec.api.transform.sequence.split

Uses of Schema in org.datavec.api.transform.sequence.trim

Uses of Schema in org.datavec.api.transform.sequence.window

Uses of Schema in org.datavec.api.transform.stringreduce

Uses of Schema in org.datavec.api.transform.transform

Uses of Schema in org.datavec.api.transform.transform.categorical

Uses of Schema in org.datavec.api.transform.transform.column

Uses of Schema in org.datavec.api.transform.transform.condition

Uses of Schema in org.datavec.api.transform.transform.doubletransform

Uses of Schema in org.datavec.api.transform.transform.floattransform

Uses of Schema in org.datavec.api.transform.transform.geo

Uses of Schema in org.datavec.api.transform.transform.integer

Uses of Schema in org.datavec.api.transform.transform.longtransform

Uses of Schema in org.datavec.api.transform.transform.parse

Uses of Schema in org.datavec.api.transform.transform.sequence

Uses of Schema in org.datavec.api.transform.transform.string

Uses of Schema in org.datavec.api.transform.transform.time

Uses of Schema in org.datavec.api.transform.ui

Uses of Schema in org.datavec.api.util.ndarray

Uses of Schema in org.datavec.arrow

Uses of Schema in org.datavec.arrow.recordreader

Uses of Schema in org.datavec.local.transforms

Uses of Schema in org.datavec.nlp.transforms

Uses of Schema in org.datavec.python

Uses of Schema in org.datavec.spark.transform

Uses of Schema in org.datavec.spark.transform.sparkfunction

Uses of Schema in org.datavec.spark.transform.utils

Uses of Class
org.datavec.api.transform.schema.Schema