- n - Static variable in class org.datavec.dataframe.reducing.NumericReduceUtils
-
- n() - Method in class org.datavec.dataframe.util.Stats
-
- name - Variable in class org.datavec.api.transform.metadata.BaseColumnMetaData
-
- name() - Method in class org.datavec.dataframe.api.Table
-
Returns the name of the table
- name() - Method in class org.datavec.dataframe.columns.AbstractColumn
-
- name() - Method in interface org.datavec.dataframe.columns.Column
-
Returns the column's name
- name() - Method in interface org.datavec.dataframe.table.Relation
-
Returns the name of this relation
- name() - Method in class org.datavec.dataframe.table.TemporaryView
-
- NAME_SPACE - Static variable in class org.datavec.api.records.reader.impl.misc.LibSvmRecordReader
-
- NAME_SPACE - Static variable in interface org.datavec.api.records.reader.RecordReader
-
- NAME_SPACE - Static variable in class org.datavec.codec.reader.BaseCodecRecordReader
-
- names(IntColumn[]) - Method in interface org.datavec.dataframe.mapping.IntMapUtils
-
- names(LongColumn[]) - Method in interface org.datavec.dataframe.mapping.LongMapUtils
-
- names(ShortColumn[]) - Method in interface org.datavec.dataframe.mapping.ShortMapUtils
-
- NanoBench - Class in org.datavec.dataframe.testutil
-
From LinkedIn palDb
- NanoBench() - Constructor for class org.datavec.dataframe.testutil.NanoBench
-
- NanoBench.BytesRunnable - Class in org.datavec.dataframe.testutil
-
- NanoBench.CPUMeasure - Class in org.datavec.dataframe.testutil
-
CPU time listener to calculate the average time spent in a measurement.
- NanoBench.MemoryUtil - Class in org.datavec.dataframe.testutil
-
Utility memory class to perform GC and calculate memory usage
- NativeCodecRecordReader - Class in org.datavec.codec.reader
-
An implementation of the CodecRecordReader that uses JavaCV and FFmpeg.
- NativeCodecRecordReader() - Constructor for class org.datavec.codec.reader.NativeCodecRecordReader
-
- NativeImageLoader - Class in org.datavec.image.loader
-
Uses JavaCV to load images.
- NativeImageLoader() - Constructor for class org.datavec.image.loader.NativeImageLoader
-
Loads images with no scaling or conversion.
- NativeImageLoader(int, int) - Constructor for class org.datavec.image.loader.NativeImageLoader
-
Instantiate an image with the given
height and width
- NativeImageLoader(int, int, int) - Constructor for class org.datavec.image.loader.NativeImageLoader
-
Instantiate an image with the given
height and width
- NativeImageLoader(int, int, int, boolean) - Constructor for class org.datavec.image.loader.NativeImageLoader
-
Instantiate an image with the given
height and width
- NativeImageLoader(int, int, int, ImageTransform) - Constructor for class org.datavec.image.loader.NativeImageLoader
-
Instantiate an image with the given
height and width
- nChooseK(int, int) - Static method in class org.datavec.api.berkeley.SloppyMath
-
Computes n choose k in an efficient way.
- nCol(String) - Method in interface org.datavec.dataframe.table.Relation
-
Returns the column with the given name cast to a NumericColumn
Shorthand for numericColumn()
- nCol(int) - Method in interface org.datavec.dataframe.table.Relation
-
Returns the column with the given name cast to a NumericColumn
Shorthand for numericColumn()
- NDArrayWritable - Class in org.datavec.common.data
-
A Writable that basically wraps an INDArray.
- NDArrayWritable() - Constructor for class org.datavec.common.data.NDArrayWritable
-
- NDArrayWritable(INDArray) - Constructor for class org.datavec.common.data.NDArrayWritable
-
- NDArrayWritable.Comparator - Class in org.datavec.common.data
-
A Comparator optimized for ArrayWritable.
- neg() - Method in class org.datavec.dataframe.api.DoubleColumn
-
For each item in the column, returns the same number with the sign changed.
- neg() - Method in class org.datavec.dataframe.api.FloatColumn
-
For each item in the column, returns the same number with the sign changed.
- NEW_LINE - Static variable in class org.datavec.api.records.writer.impl.FileRecordWriter
-
- newColumn(String, ColumnType) - Static method in class org.datavec.dataframe.io.TypeUtils
-
Constructs and returns a column for the given name and type
- newColumnMetaData(String) - Method in enum org.datavec.api.transform.ColumnType
-
- newColumnName - Variable in class org.datavec.api.transform.transform.BaseColumnsMathOpTransform
-
- newHashBackedMap() - Static method in class org.datavec.api.util.MultiDimensionalMap
-
Thread safe hash map impl
- newInstance(Object...) - Method in class org.datavec.api.berkeley.Factory.DefaultFactory
-
- newInstance(Object...) - Method in interface org.datavec.api.berkeley.Factory
-
- newInstance(Class<T>, Configuration) - Static method in class org.datavec.api.util.ReflectionUtils
-
Create an object for the given class and initialize it from conf
- newIterable(Iterator<T>) - Static method in class org.datavec.api.berkeley.Iterators
-
Wraps an iterator as an iterable
- newKey() - Method in class org.datavec.api.io.WritableComparator
-
- newMax - Variable in class org.datavec.api.transform.transform.doubletransform.MinMaxNormalizer
-
- newMin - Variable in class org.datavec.api.transform.transform.doubletransform.MinMaxNormalizer
-
- newPair(S, T) - Static method in class org.datavec.api.berkeley.Pair
-
- newPath - Variable in class org.datavec.api.split.FileSplitTest
-
- newSchema(List<ColumnMetaData>) - Method in class org.datavec.api.transform.schema.Schema
-
Create a new schema based on the new metadata
- newSchema(List<ColumnMetaData>) - Method in class org.datavec.api.transform.schema.SequenceSchema
-
- newThreadSafeHashBackedMap() - Static method in class org.datavec.api.util.MultiDimensionalMap
-
Thread safe hash map implementation
- newThreadSafeTreeBackedMap() - Static method in class org.datavec.api.util.MultiDimensionalMap
-
Thread safe sorted map implementation
- newTreeBackedMap() - Static method in class org.datavec.api.util.MultiDimensionalMap
-
Tree map implementation
- next() - Method in class org.datavec.api.berkeley.Iterators.FilteredIterator
-
- next() - Method in class org.datavec.api.berkeley.Iterators.IteratorIterator
-
- next() - Method in class org.datavec.api.berkeley.Iterators.Transform
-
- next() - Method in class org.datavec.api.berkeley.Iterators.TransformingIterator
-
- next() - Method in class org.datavec.api.berkeley.PriorityQueue
-
- next() - Method in interface org.datavec.api.berkeley.PriorityQueueInterface
-
Returns the element in the queue with highest priority, and pops it from
the queue.
- next() - Method in class org.datavec.api.records.reader.impl.collection.CollectionRecordReader
-
- next() - Method in class org.datavec.api.records.reader.impl.collection.CollectionSequenceRecordReader
-
- next() - Method in class org.datavec.api.records.reader.impl.collection.ListStringRecordReader
-
Get the next record
- next() - Method in class org.datavec.api.records.reader.impl.ComposableRecordReader
-
- next() - Method in class org.datavec.api.records.reader.impl.csv.CSVRecordReader
-
- next() - Method in class org.datavec.api.records.reader.impl.FileRecordReader
-
- next() - Method in class org.datavec.api.records.reader.impl.jackson.JacksonRecordReader
-
- next() - Method in class org.datavec.api.records.reader.impl.LineRecordReader
-
- next() - Method in class org.datavec.api.records.reader.impl.misc.LibSvmRecordReader
-
- next() - Method in class org.datavec.api.records.reader.impl.misc.MatlabRecordReader
-
- next() - Method in class org.datavec.api.records.reader.impl.misc.SVMLightRecordReader
-
- next() - Method in class org.datavec.api.records.reader.impl.regex.RegexLineRecordReader
-
- next() - Method in interface org.datavec.api.records.reader.RecordReader
-
Get the next record
- next() - Method in class org.datavec.api.util.files.FileFromPathIterator
-
- next() - Method in class org.datavec.api.util.files.ShuffledListIterator
-
- next() - Method in class org.datavec.api.util.files.UriFromPathIterator
-
- next() - Method in class org.datavec.audio.recordreader.WavFileRecordReader
-
- next() - Method in class org.datavec.codec.reader.BaseCodecRecordReader
-
- next(String, Sort.Order) - Method in class org.datavec.dataframe.sorting.Sort
-
- next() - Method in class org.datavec.hadoop.records.reader.SVMLightRecordReader
-
next() method for getting another K/V pair off disk from the SVMLight text file
- next(int) - Method in class org.datavec.image.loader.CifarLoader
-
- next(int, int) - Method in class org.datavec.image.loader.CifarLoader
-
- next() - Method in class org.datavec.image.mnist.MnistDbFile
-
Move to the next entry.
- next() - Method in class org.datavec.image.recordreader.BaseImageRecordReader
-
- next() - Method in class org.datavec.image.recordreader.VideoRecordReader
-
- next() - Method in class org.datavec.nlp.reader.TfidfRecordReader
-
- nextImage() - Method in class org.datavec.image.mnist.MnistImageFile
-
Move the cursor to the next image.
- nextList(List<Iterator<T>>) - Static method in class org.datavec.api.berkeley.Iterators
-
- nextPowOf2(long) - Static method in class org.datavec.api.util.MathUtils
-
See: http://stackoverflow.com/questions/466204/rounding-off-to-nearest-power-of-2
- nextRecord() - Method in class org.datavec.api.records.reader.impl.collection.CollectionRecordReader
-
- nextRecord() - Method in class org.datavec.api.records.reader.impl.collection.CollectionSequenceRecordReader
-
- nextRecord() - Method in class org.datavec.api.records.reader.impl.collection.ListStringRecordReader
-
- nextRecord() - Method in class org.datavec.api.records.reader.impl.ComposableRecordReader
-
- nextRecord() - Method in class org.datavec.api.records.reader.impl.csv.CSVRecordReader
-
- nextRecord() - Method in class org.datavec.api.records.reader.impl.FileRecordReader
-
- nextRecord() - Method in class org.datavec.api.records.reader.impl.jackson.JacksonRecordReader
-
- nextRecord() - Method in class org.datavec.api.records.reader.impl.LineRecordReader
-
- nextRecord() - Method in class org.datavec.api.records.reader.impl.regex.RegexLineRecordReader
-
- nextRecord() - Method in interface org.datavec.api.records.reader.RecordReader
-
- nextRecord() - Method in class org.datavec.audio.recordreader.WavFileRecordReader
-
- nextRecord() - Method in class org.datavec.image.recordreader.BaseImageRecordReader
-
- nextRecord() - Method in class org.datavec.image.recordreader.VideoRecordReader
-
- nextRecord() - Method in class org.datavec.nlp.reader.TfidfRecordReader
-
- nextSequence() - Method in class org.datavec.api.records.reader.impl.collection.CollectionSequenceRecordReader
-
- nextSequence() - Method in class org.datavec.api.records.reader.impl.csv.CSVNLinesSequenceRecordReader
-
- nextSequence() - Method in class org.datavec.api.records.reader.impl.csv.CSVSequenceRecordReader
-
- nextSequence() - Method in class org.datavec.api.records.reader.impl.regex.RegexSequenceRecordReader
-
- nextSequence() - Method in interface org.datavec.api.records.reader.SequenceRecordReader
-
- nextSequence() - Method in class org.datavec.codec.reader.BaseCodecRecordReader
-
- nextSequence() - Method in class org.datavec.image.recordreader.VideoRecordReader
-
- nextToken() - Method in class org.datavec.nlp.tokenization.tokenizer.DefaultStreamTokenizer
-
- nextToken() - Method in class org.datavec.nlp.tokenization.tokenizer.DefaultTokenizer
-
- nextToken() - Method in class org.datavec.nlp.tokenization.tokenizer.PosUimaTokenizer
-
- nextToken() - Method in interface org.datavec.nlp.tokenization.tokenizer.Tokenizer
-
The next token (word usually) in the string
- nextToken() - Method in class org.datavec.nlp.tokenization.tokenizer.UimaTokenizer
-
- noNaNDivide(double, double) - Static method in class org.datavec.api.berkeley.SloppyMath
-
- NOON - Static variable in class org.datavec.dataframe.columns.packeddata.PackedLocalTime
-
- Normalization - Class in org.datavec.spark.transform
-
Simple dataframe based normalization.
- Normalization() - Constructor for class org.datavec.spark.transform.Normalization
-
- NormalizationTests - Class in org.datavec.spark.transform
-
Created by agibsonccc on 10/22/16.
- NormalizationTests() - Constructor for class org.datavec.spark.transform.NormalizationTests
-
- normalizationTests() - Method in class org.datavec.spark.transform.NormalizationTests
-
- normalize() - Method in class org.datavec.api.berkeley.Counter
-
Destructively normalize this Counter in place.
- normalize() - Method in class org.datavec.api.berkeley.CounterMap
-
- Normalize - Enum in org.datavec.api.transform.transform.normalize
-
Built-in normalization methods.
- normalize(String, Normalize, DataAnalysis) - Method in class org.datavec.api.transform.TransformProcess.Builder
-
Normalize the specified column with a given type of normalization
- normalize(double, double, double) - Static method in class org.datavec.api.util.MathUtils
-
Normalize a value
(val - min) / (max - min)
- normalize(double[], double) - Static method in class org.datavec.api.util.MathUtils
-
Normalizes the doubles in the array using the given value.
- normalize(double[]) - Method in class org.datavec.dataframe.mapping.NumericMapUtils
-
- normalize(DataRowsFacade, double, double) - Static method in class org.datavec.spark.transform.Normalization
-
Scale based on min,max
- normalize(Schema, JavaRDD<List<Writable>>, double, double) - Static method in class org.datavec.spark.transform.Normalization
-
Scale based on min,max
- normalize(DataRowsFacade) - Static method in class org.datavec.spark.transform.Normalization
-
Scale based on min,max
- normalize(Schema, JavaRDD<List<Writable>>) - Static method in class org.datavec.spark.transform.Normalization
-
Scale all data 0 to 1
- normalize(DataRowsFacade, double, double, List<String>) - Static method in class org.datavec.spark.transform.Normalization
-
Scale based on min,max
- normalize(Schema, JavaRDD<List<Writable>>, double, double, List<String>) - Static method in class org.datavec.spark.transform.Normalization
-
Scale based on min,max
- normalize(DataRowsFacade, List<String>) - Static method in class org.datavec.spark.transform.Normalization
-
Scale based on min,max
- normalize(Schema, JavaRDD<List<Writable>>, List<String>) - Static method in class org.datavec.spark.transform.Normalization
-
Scale all data 0 to 1
- normalizeCifar(File) - Method in class org.datavec.image.loader.CifarLoader
-
Normalize and store cifar based on successful Torch approach by Sergey Zagoruyko
Reference: https://github.com/szagoruyko/cifar.torch
- NormalizedSampleAmplitudes - Class in org.datavec.audio.extension
-
Handles the wave data in amplitude-time domain.
- NormalizedSampleAmplitudes(Wave) - Constructor for class org.datavec.audio.extension.NormalizedSampleAmplitudes
-
- normalizeSequence(Schema, JavaRDD<List<List<Writable>>>) - Static method in class org.datavec.spark.transform.Normalization
-
- normalizeSequence(Schema, JavaRDD<List<List<Writable>>>, double, double) - Static method in class org.datavec.spark.transform.Normalization
-
Normalize each column of a sequence, based on min/max
- normalizeSequence(Schema, JavaRDD<List<List<Writable>>>, double, double, List<String>) - Static method in class org.datavec.spark.transform.Normalization
-
Normalize each column of a sequence, based on min/max
- normalizeToOne(double[]) - Static method in class org.datavec.api.util.MathUtils
-
- normalizeWithDiscount(double) - Method in class org.datavec.api.berkeley.CounterMap
-
- NOT(Condition) - Static method in class org.datavec.api.transform.condition.BooleanCondition
-
Not of the given condition
- not(Filter) - Static method in class org.datavec.dataframe.api.QueryHelper
-
- notIsEqualTo - Static variable in interface org.datavec.dataframe.columns.DoubleColumnUtils
-
- notIsEqualTo - Static variable in interface org.datavec.dataframe.columns.FloatColumnUtils
-
- nthIndex(String, char, int) - Static method in class org.datavec.api.berkeley.StringUtils
-
Returns the index of the nth occurrence of ch in s, or -1
if there are less than n occurrences of ch.
- NullWritable - Class in org.datavec.api.writable
-
NullWritable.
- NullWritable() - Constructor for class org.datavec.api.writable.NullWritable
-
- NullWritableColumnCondition - Class in org.datavec.api.transform.condition.column
-
Condition that applies to the values in any column.
- NullWritableColumnCondition(String) - Constructor for class org.datavec.api.transform.condition.column.NullWritableColumnCondition
-
- NUM_ATTRIBUTES - Static variable in class org.datavec.api.records.reader.impl.misc.SVMLightRecordReader
-
- NUM_FEATURES - Static variable in class org.datavec.api.records.reader.impl.misc.LibSvmRecordReader
-
- NUM_IMAGES - Static variable in class org.datavec.image.loader.LFWLoader
-
- NUM_LABELS - Static variable in class org.datavec.image.loader.CifarLoader
-
- NUM_LABELS - Static variable in class org.datavec.image.loader.LFWLoader
-
- NUM_TEST_IMAGES - Static variable in class org.datavec.image.loader.CifarLoader
-
- NUM_TRAIN_IMAGES - Static variable in class org.datavec.image.loader.CifarLoader
-
- NumberedFileInputSplit - Class in org.datavec.api.split
-
InputSplit for sequences of numbered files.
- NumberedFileInputSplit(String, int, int) - Constructor for class org.datavec.api.split.NumberedFileInputSplit
-
- numColumns() - Method in class org.datavec.api.transform.schema.Schema
-
Returns the number of columns or fields
for this schema
- numDocs() - Method in class org.datavec.nlp.metadata.DefaultVocabCache
-
- numDocs() - Method in interface org.datavec.nlp.metadata.VocabCache
-
Number of documents
- NumericalColumnAnalysis - Class in org.datavec.api.transform.analysis.columns
-
Abstract class for numerical column analysis
- NumericalColumnAnalysis(NumericalColumnAnalysis.Builder) - Constructor for class org.datavec.api.transform.analysis.columns.NumericalColumnAnalysis
-
- NumericalColumnAnalysis() - Constructor for class org.datavec.api.transform.analysis.columns.NumericalColumnAnalysis
-
- NumericalColumnAnalysis.Builder<T extends NumericalColumnAnalysis.Builder<T>> - Class in org.datavec.api.transform.analysis.columns
-
- NumericalColumnComparator - Class in org.datavec.api.transform.sequence.comparator
-
Sequence comparator: compare elements in a sequence using the values in a single column
Can be applied on any numerical column (Integer, Long, Double or Time columns)
- NumericalColumnComparator(String) - Constructor for class org.datavec.api.transform.sequence.comparator.NumericalColumnComparator
-
- NumericalColumnComparator(String, boolean) - Constructor for class org.datavec.api.transform.sequence.comparator.NumericalColumnComparator
-
- NumericColumn - Interface in org.datavec.dataframe.api
-
Functionality common to all numeric column types
- numericColumn(int) - Method in interface org.datavec.dataframe.table.Relation
-
- numericColumn(String) - Method in interface org.datavec.dataframe.table.Relation
-
- numericColumn(int) - Method in class org.datavec.dataframe.table.TemporaryView
-
- numericColumn(String) - Method in class org.datavec.dataframe.table.TemporaryView
-
- NumericMapUtils - Class in org.datavec.dataframe.mapping
-
- NumericMapUtils() - Constructor for class org.datavec.dataframe.mapping.NumericMapUtils
-
- NumericReduceFunction - Interface in org.datavec.dataframe.reducing
-
Functions that calculate values over the data of an entire column, such as sum, mean, std.
- NumericReduceUtils - Class in org.datavec.dataframe.reducing
-
Contains common utilities for double and long types
- NumericReduceUtils() - Constructor for class org.datavec.dataframe.reducing.NumericReduceUtils
-
- NumericReduceUtilsTest - Class in org.datavec.dataframe.reducing
-
- NumericReduceUtilsTest() - Constructor for class org.datavec.dataframe.reducing.NumericReduceUtilsTest
-
- NumericSummaryTable - Class in org.datavec.dataframe.reducing
-
NumericSummaryTable is a standard table, but one with a specific format:
It has two columns, the first a category column and the second a numeric column,
so that it is appropriate for managing data that summarizes numeric variables by groups
- numExamples - Variable in class org.datavec.image.loader.CifarLoader
-
- numFrames - Variable in class org.datavec.codec.reader.BaseCodecRecordReader
-
- numLabels() - Method in class org.datavec.image.recordreader.BaseImageRecordReader
-
Returns getLabels().size().
- numToConvertDS - Static variable in class org.datavec.image.loader.CifarLoader
-