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SimpleDNN is a machine learning lightweight open-source library written in Kotlin whose purpose is to support the development of feed-forward and recurrent Artificial Neural Networks.

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/* Copyright 2016-present The KotlinNLP Authors. All Rights Reserved.
 *
 * This Source Code Form is subject to the terms of the Mozilla Public
 * License, v. 2.0. If a copy of the MPL was not distributed with this
 * file, you can obtain one at http://mozilla.org/MPL/2.0/.
 * ------------------------------------------------------------------*/

package com.kotlinnlp.simplednn.core.arrays

import com.kotlinnlp.simplednn.simplemath.ndarray.sparse.SparseNDArray
import com.kotlinnlp.simplednn.simplemath.ndarray.sparse.SparseNDArrayFactory
import com.kotlinnlp.simplednn.simplemath.ndarray.Shape

/**
 * The [UpdatableSparseArray] is a wrapper of a [SparseNDArray]
 */
class UpdatableSparseArray(override val values: SparseNDArray) : UpdatableArray(values = values) {

  companion object {

    /**
     * Private val used to serialize the class (needed from Serializable)
     */
    @Suppress("unused")
    private const val serialVersionUID: Long = 1L

    /**
     * Build an [UpdatableSparseArray] with values initialized to zeros.
     *
     * @param shape the shape of the [values] array
     *
     * @return a new array with values initialized to zeros
     */
    operator fun invoke(shape: Shape) = UpdatableSparseArray(SparseNDArrayFactory.zeros(shape))
  }
}




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