* The main function of the Iris demo.

* The main function of the Iris demo.

* Determine whether this simulation is done. * * A simulation is done when `x` (position of the cart) goes out of bound * or when `theta` (an

* @license * Copyright 2022 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use th

Helper method for limiting the number of characters shown on screen.

Loads training and test data.

Loads training and test data.

Loads training and test data.

Loads training and test data.

* Read the header of the dataset file * * @param {Buffer} buffer * @param {number} headerLength * * @returns {number[]} MNIST data header values

* Load the images from the given file and normalize the data to 0-1 range. * * Input file should be in the MNIST/FashionMNSIT file format * * @par

* Loads mobilenet from URL and keeps a reference to it in the object.

* Load the model from IndexedDB. * * @returns {SaveablePolicyNetwork} The instance of loaded * `SaveablePolicyNetwork`. * @throws {Error

* Create LSTM model if it is not saved locally; load it if it is. * * @param {number | number[]} lstmLayerSizes Sizes of the LSTM layers, as a

* Load a number of models to allow the browser to cache them.

* Load a custom trained token tagger model. * @param {string} name Type of model to load. Should be a key in modelUrls

* Loads MobileNet, removes the top part, and freeze all the layers. * * The top removal and layer freezing are preparation for transfer learning. *

* Get a representation of the sizes of the LSTM layers in the model. * * @returns {number | number[]} The sizes (i.e., number of units) of the

* Plot zero, one or two time series against time. * * @param {string} series1 Name of timeseries 1 (x-axis). * @param {string} series2 Name of time

* Make a scatter plot of two timeseries. * * The scatter plot plots the two timeseries against each other. * * @param {string} series1 Name of tim

* Get a file by downloading it if necessary. * * @param {string} sourceURL URL to download the file from. * @param {string} destPath Destination fi

* Get the IMDB data through file downloading and extraction. * * If the files already exist on the local file system, the download and/or * extract

* * @param {Array<Object>} data Downloaded data. * * @returns {Promise.Array<number[]>} Resolves to data with values parsed as * floats.

* Parse the date-time string from the Jena weather CSV file. * * @param {*} str The date time string with a format that looks like: * "17.0