neural network configuration and tensorflow model hyperparameters
Optional properties: TensorScriptPropertiesextra instance properties
Rest ...args: any[]Optional getOptional layersOptional lossRest ...args: any[]Optional xOptional yPredicts new dependent variables
returns tensorflow prediction
Optional options: PredictionOptionsmodel prediction options
Loads a saved tensoflow / keras model, this is an alias for
tensorflow model
https://www.tensorflow.org/js/guide/save_load#loading_a_tfmodel
tensorflow load model options
Returns prediction values from tensorflow model
predicted model values
Optional input_matrix: Matrix | Vector | PredictionOptions | InputTextArraynew test independent variables
Optional options: PredictionOptionssaves a tensorflow model, this is an alias for
tensorflow model
https://www.tensorflow.org/js/guide/save_load#save_a_tfmodel
tensorflow save model options
Asynchronously trains tensorflow model
returns trained tensorflow model
independent variables
dependent variables
Static getReturns the shape of an input matrix
const input = [
[ 0, 1, ],
[ 1, 0, ],
];
TensorScriptModelInterface.getInputShape(input) // => [2,2]
returns the shape of a matrix (e.g. [2,2])
input matrix
Static reshapeReshapes an array
const array = [ 0, 1, 1, 0, ];
const shape = [2,2];
TensorScriptModelInterface.reshape(array,shape) // =>
[
[ 0, 1, ],
[ 1, 0, ],
];
returns a matrix with the defined shape
input array
shape array
Machine Learning Linear Regression with Tensorflow
Implements