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#Org.encog.ml.data Classes and Interfaces - 68 results found.
| Name | Description | Type | Package | Framework |
| ArrayDataCODEC | A CODEC used for arrays. | Class | org.encog.ml.data.buffer.codec | HeatonReasearch |
| AutoFloatColumn | Class | org.encog.ml.data.auto | HeatonReasearch | |
| AutoFloatDataSet | Class | org.encog.ml.data.auto | HeatonReasearch | |
| BasicMLComplexData | This class implements a data object that can hold complex numbers. | Class | org.encog.ml.data.basic | HeatonReasearch |
| BasicMLData | Basic implementation of the MLData interface that stores the data in anAuthor:jheatonSee Also:Serialized Form | Class | org.encog.ml.data.basic | HeatonReasearch |
| BasicMLDataCentroid | A basic implementation of a centroid. | Class | org.encog.ml.data.basic | HeatonReasearch |
| BasicMLDataPair | A basic implementation of the MLDataPair interface. | Class | org.encog.ml.data.basic | HeatonReasearch |
| BasicMLDataPairCentroid | A centroid for BasicMLDataPair. | Class | org.encog.ml.data.basic | HeatonReasearch |
| BasicMLDataSet | Stores data in an ArrayList. | Class | org.encog.ml.data.basic | HeatonReasearch |
| BasicMLSequenceSet | A basic implementation of the MLSequenceSet. | Class | org.encog.ml.data.basic | HeatonReasearch |
| BasicNormalizationStrategy | Provides a basic normalization strategy that will work with most models built into Encog. | Class | org.encog.ml.data.versatile.normalizers.strategies | HeatonReasearch |
| BinaryDataLoader | This class is used, together with a CODEC, to move data to/from the Encog binary training file format. | Class | org.encog.ml.data.buffer | HeatonReasearch |
| BiPolarNeuralData | A NeuralData implementation designed to work with bipolar data. | Class | org.encog.ml.data.specific | HeatonReasearch |
| BufferedDataError | An error occurs working with the Encog binary training format. | Class | org.encog.ml.data.buffer | HeatonReasearch |
| BufferedDataSetIterator | An iterator for the BufferedNeuralDataSet. | Class | org.encog.ml.data.buffer | HeatonReasearch |
| BufferedMLDataSet | This class is not memory based, so very long files can be used, without running out of memory. | Class | org.encog.ml.data.buffer | HeatonReasearch |
| ColumnDefinition | Defines a column definition. | Class | org.encog.ml.data.versatile.columns | HeatonReasearch |
| ColumnType | The type of column, defined using level of measurement. | Class | org.encog.ml.data.versatile.columns | HeatonReasearch |
| CSVDataCODEC | A CODEC used to read/write data from/to a CSV data file. | Class | org.encog.ml.data.buffer.codec | HeatonReasearch |
| CSVDataSource | Allow a CSV file to serve as a source for the versatile data source. | Class | org.encog.ml.data.versatile.sources | HeatonReasearch |
| CSVNeuralDataSet | An implementation of the NeuralDataSet interface designed to provide a CSV file to the neural network. | Class | org.encog.ml.data.specific | HeatonReasearch |
| DataDivision | A division of data inside of a versatile data set. | Class | org.encog.ml.data.versatile.division | HeatonReasearch |
| DataFold | Class | org.encog.ml.data.cross | HeatonReasearch | |
| DataSetCODEC | A CODEC is used to encode and decode data. | Interface | org.encog.ml.data.buffer.codec | HeatonReasearch |
| EncogEGBFile | Used to access an Encog Binary Training file (*. | Class | org.encog.ml.data.buffer | HeatonReasearch |
| ExcelCODEC | A CODEC that can read/write Microsoft Excel (*. | Class | org.encog.ml.data.buffer.codec | HeatonReasearch |
| FoldedDataSet | A folded data set allows you to "fold" the data into several equal(or nearly equal) datasets. | Class | org.encog.ml.data.folded | HeatonReasearch |
| FoldedIterator | Used to iterate over a folded data set. | Class | org.encog.ml.data.folded | HeatonReasearch |
| IndexedNormalizer | Normalize ordinal/nominal values to a single value that is simply the index of the class in the list. | Class | org.encog.ml.data.versatile.normalizers | HeatonReasearch |
| KFoldCrossvalidation | Class | org.encog.ml.data.cross | HeatonReasearch | |
| LoadedMarketData | This class contains market data that was loaded for a specific ticker symbol and a specific date. | Class | org.encog.ml.data.market.loader | HeatonReasearch |
| LoaderError | An error that occurs when financial data is being loaded. | Class | org.encog.ml.data.market.loader | HeatonReasearch |
| MarketDataDescription | This class is used to describe the type of financial data that is needed. | Class | org.encog.ml.data.market | HeatonReasearch |
| MarketDataType | The types of market data that can be used. | Class | org.encog.ml.data.market | HeatonReasearch |
| MarketError | Thrown when an error occurs processing market data. | Class | org.encog.ml.data.market | HeatonReasearch |
| MarketLoader | Interface | org.encog.ml.data.market.loader | HeatonReasearch | |
| MarketMLDataSet | A data set that is designed to hold market data. | Class | org.encog.ml.data.market | HeatonReasearch |
| MarketPoint | Hold one market datapoint. | Class | org.encog.ml.data.market | HeatonReasearch |
| MatrixMLDataSet | The MatrixMLDataSet can use a large 2D matrix of doubles to internally hold data. | Class | org.encog.ml.data.versatile | HeatonReasearch |
| MeanMissingHandler | Handle missing data by using the mean value of that column. | Class | org.encog.ml.data.versatile.missing | HeatonReasearch |
| MemoryDataLoader | This class is used, together with a CODEC, load training data from some external file into an Encog memory-based training set. | Class | org.encog.ml.data.buffer | HeatonReasearch |
| MissingHandler | Specifies how to handle missing data. | Interface | org.encog.ml.data.versatile.missing | HeatonReasearch |
| MLComplexData | This class implements a data object that can hold complex numbers. | Interface | org.encog.ml.data | HeatonReasearch |
| MLData | Defines an array of data. | Interface | org.encog.ml.data | HeatonReasearch |
| MLDataError | Used by the machine learning methods classes to indicate a data error. | Class | org.encog.ml.data | HeatonReasearch |
| MLDataPair | Training data is stored in two ways, depending on if the data is for supervised, or unsupervised training. | Interface | org.encog.ml.data | HeatonReasearch |
| MLDataSet | An interface designed to abstract classes that store machine learning data. | Interface | org.encog.ml.data | HeatonReasearch |
| MLSequenceSet | A sequence set is a collection of data sets. | Interface | org.encog.ml.data | HeatonReasearch |
| NeuralDataSetCODEC | A CODEC that works with the NeuralDataSet class. | Class | org.encog.ml.data.buffer.codec | HeatonReasearch |
| NormalizationHelper | This class is used to perform normalizations for methods trained with theSee Also:Serialized Form | Class | org.encog.ml.data.versatile | HeatonReasearch |
| NormalizationStrategy | Defines the interface to a normalization strategy. | Interface | org.encog.ml.data.versatile.normalizers.strategies | HeatonReasearch |
| Normalizer | The normalizer interface defines how to normalize a column. | Interface | org.encog.ml.data.versatile.normalizers | HeatonReasearch |
| OneOfNNormalizer | Normalize to one-of-n for nominal values. | Class | org.encog.ml.data.versatile.normalizers | HeatonReasearch |
| PassThroughNormalizer | A normalizer that simply passes the value through unnormalized. | Class | org.encog.ml.data.versatile.normalizers | HeatonReasearch |
| PerformDataDivision | Perform a data division. | Class | org.encog.ml.data.versatile.division | HeatonReasearch |
| RangeNormalizer | A a range normalizer forces a value to fall in a specific range. | Class | org.encog.ml.data.versatile.normalizers | HeatonReasearch |
| RangeOrdinal | Normalize an ordinal into a specific range. | Class | org.encog.ml.data.versatile.normalizers | HeatonReasearch |
| SparseMLData | Class | org.encog.ml.data.sparse | HeatonReasearch | |
| SQLCODEC | A CODEC that is designed to read data from an SQL source. | Class | org.encog.ml.data.buffer.codec | HeatonReasearch |
| TemporalDataDescription | This class describes one unit of input, or output, to a temporal neural network. | Class | org.encog.ml.data.temporal | HeatonReasearch |
| TemporalDataDescription .Type | The type of data requested. | Class | org.encog.ml.data.temporal | HeatonReasearch |
| TemporalError | Error occurred processing temporal data. | Class | org.encog.ml.data.temporal | HeatonReasearch |
| TemporalMLDataSet | This class implements a temporal neural data set. | Class | org.encog.ml.data.temporal | HeatonReasearch |
| TemporalPoint | A temporal point is all of the data captured at one point in time to be used for prediction. | Class | org.encog.ml.data.temporal | HeatonReasearch |
| TickerSymbol | Holds a ticker symbol and exchange. | Class | org.encog.ml.data.market | HeatonReasearch |
| VersatileDataSource | Defines a data source for the versatile data set. | Interface | org.encog.ml.data.versatile.sources | HeatonReasearch |
| VersatileMLDataSet | The versatile dataset supports several advanced features. | Class | org.encog.ml.data.versatile | HeatonReasearch |
| YahooFinanceLoader | This class loads financial data from Yahoo. | Class | org.encog.ml.data.market.loader | HeatonReasearch |