import {DeepLearningRegression} from '@tensorscript/ts-deeplearning/lib/deeplearning.mjs'
DeepLearningRegression
Extends:
Implements:
Indirect Implements:
- TensorScriptModelInterface
Deep Learning Regression with Tensorflow
Constructor Summary
Public Constructor | ||
public |
constructor(options: {layers: Array<Object>, compile: Object, fit: Object, layerPreference: String}, properties: *) |
Method Summary
Public Methods | ||
public |
generateLayers(x_matrix: Array<Array<number>>, y_matrix: Array<Array<number>>, layers: Array<Object>) Adds dense layers to tensorflow regression model |
Inherited Summary
From class BaseNeuralNetwork | ||
public |
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public |
calculate(matrix: Array<Array<number>>|Array<number>): {data: Promise} Predicts new dependent variables |
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public abstract |
generateLayers(x_matrix: Array<Array<number>>, y_matrix: Array<Array<number>>, layers: Array<Object>) Adds dense layers to tensorflow model |
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public |
async train(x_matrix: Array<Array<number>>, y_matrix: Array<Array<number>>, layers: Array<Object>): Object Asynchronously trains tensorflow model |
Public Constructors
public constructor(options: {layers: Array<Object>, compile: Object, fit: Object, layerPreference: String}, properties: *) source
Override:
BaseNeuralNetwork#constructorParams:
Name | Type | Attribute | Description |
options | {layers: Array<Object>, compile: Object, fit: Object, layerPreference: String} | neural network configuration and tensorflow model hyperparameters |
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properties | * | extra instance properties |
Public Methods
public generateLayers(x_matrix: Array<Array<number>>, y_matrix: Array<Array<number>>, layers: Array<Object>) source
Adds dense layers to tensorflow regression model
Override:
BaseNeuralNetwork#generateLayersParams:
Name | Type | Attribute | Description |
x_matrix | Array<Array<number>> | independent variables |
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y_matrix | Array<Array<number>> | dependent variables |
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layers | Array<Object> | model dense layer parameters |