Properties
compiled
compiled: boolean
Optional featureIds
featureIds: Matrix
Optional featureToId
featureToId: FeatureToId
getContextPairs
getContextPairs: (__namedParameters: { inputMatrix: Matrix; numberOfFeatures: number; tf?: any; window_size?: number }) => Promise<{ context_length: number; emptyXVector: any; emptyYVector: any; x: Matrix; y: Matrix }>
Type declaration
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- (__namedParameters: { inputMatrix: Matrix; numberOfFeatures: number; tf?: any; window_size?: number }): Promise<{ context_length: number; emptyXVector: any; emptyYVector: any; x: Matrix; y: Matrix }>
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Parameters
-
__namedParameters: { inputMatrix: Matrix; numberOfFeatures: number; tf?: any; window_size?: number }
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inputMatrix: Matrix
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numberOfFeatures: number
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Optional tf?: any
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Optional window_size?: number
Returns Promise<{ context_length: number; emptyXVector: any; emptyYVector: any; x: Matrix; y: Matrix }>
getFeatureDataSet
getFeatureDataSet: (__namedParameters: { PAD?: string; initialFeatureToId?: FeatureToId; initialIdToFeature?: IdToFeature; inputMatrixFeatures: Corpus }) => Promise<{ featureIds: number[][]; featureToId: {}; idToFeature: IdToFeature; numberOfFeatures: number }>
Type declaration
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- (__namedParameters: { PAD?: string; initialFeatureToId?: FeatureToId; initialIdToFeature?: IdToFeature; inputMatrixFeatures: Corpus }): Promise<{ featureIds: number[][]; featureToId: {}; idToFeature: IdToFeature; numberOfFeatures: number }>
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Parameters
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__namedParameters: { PAD?: string; initialFeatureToId?: FeatureToId; initialIdToFeature?: IdToFeature; inputMatrixFeatures: Corpus }
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Optional PAD?: string
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Optional initialFeatureToId?: FeatureToId
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Optional initialIdToFeature?: IdToFeature
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inputMatrixFeatures: Corpus
Returns Promise<{ featureIds: number[][]; featureToId: {}; idToFeature: IdToFeature; numberOfFeatures: number }>
getInputShape
getInputShape: (...args: any[]) => any
getMergedArray
getMergedArray: (base?: Vector, merger?: Vector, append?: boolean, truncate?: boolean) => any[]
Type declaration
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- (base?: Vector, merger?: Vector, append?: boolean, truncate?: boolean): any[]
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Parameters
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base: Vector = []
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merger: Vector = []
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append: boolean = false
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truncate: boolean = true
Returns any[]
Optional getTimeseriesShape
getTimeseriesShape: (x_timeseries: undefined | NestedArray<any>) => Shape
Type declaration
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- (x_timeseries: undefined | NestedArray<any>): Shape
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Parameters
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x_timeseries: undefined | NestedArray<any>
Returns Shape
Optional idToFeature
idToFeature: IdToFeature
Optional importedEmbeddings
importedEmbeddings: boolean
Optional layers
layers: TensorScriptLayers
Optional loss
loss: number
Optional numberOfFeatures
numberOfFeatures: number
reshape
reshape: (...args: any[]) => any
settings
settings: TensorScriptOptions
Optional xShape
xShape: number[]
Optional yShape
yShape: number[]
use a corpus to generate features from an embedding layer with Tensorflow
{BaseNeuralNetwork}