* Set up flag settings under the UI element of `folderController`: * - If it is the first call, initialize the flags' default value and show flag *

* Pseudorandomly shuffles the elements of this dataset. This is done in a * streaming manner, by sampling from a given number of prefetched element

* Randomly shuffles the elements of this stream. * * @param bufferSize: An integer specifying the number of elements from * this stream from

* Computes the sigmoid cross entropy loss between two tensors. * * If labelSmoothing is nonzero, smooth the labels towards 1/2: * * newMulticlas

* Computes sigmoid element-wise, `1 / (1 + exp(-x))` * * ```js * const x = tf.tensor1d([0, -1, 2, -3]); * * x.sigmoid().print(); // or tf.sigmoi

* Returns an element-wise indication of the sign of a number. * * ```js * const x = tf.tensor1d([.6, 1.1, -3.3, NaN, 0]); * * x.sign().print();

* Computes sin of the input Tensor element-wise: `sin(x)` * * ```js * const x = tf.tensor1d([0, Math.PI / 2, Math.PI * 3 / 4]); * * x.sin().print

* Computes hyperbolic sin of the input `tf.Tensor` element-wise: `sinh(x)` * * ```js * const x = tf.tensor1d([0, 1, -1, .7]); * * x.sinh().print(

* Creates a `Dataset` that skips `count` initial elements from this dataset. * * ```js * const a = tf.data.array([1, 2, 3, 4, 5, 6]).skip(3);

* Skips the first `count` items in this stream. * * @param count The number of items to skip. If a negative or undefined * value is given, t

* Extracts a 1D slice from 1D array starting at coordinates `begin` and is * of length `size`. See `slice` for details.

* Extracts a 2D slice from a 2D array starting at coordinates `begin` and * is of size `size`. See `slice` for details.

* Extracts a 3D slice from a 3D array starting at coordinates `begin` and * is of size `size`. See `slice` for details.

* Extracts a 4D slice from a 4D array starting at coordinates `begin` and * is of size `size`. See `slice` for details.