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2020-08-19 19:28:09 +00:00
parent 436fc1029a
commit b3f9bef796
592 changed files with 32027 additions and 9642 deletions
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functions_func.html
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@@ -92,6 +92,13 @@ $(document).ready(function(){initNavTree('functions_func.html',''); initResizabl
<div class="contents">
&#160;
<h3><a id="index__5F"></a>- _ -</h3><ul>
<li>__detailed_single_prediction()
: <a class="el" href="d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html#a22001f5085c4740f41ca77b3ec30b540">machine_learning::neural_network::NeuralNetwork</a>
</li>
</ul>
<h3><a id="index_a"></a>- a -</h3><ul>
<li>abs()
: <a class="el" href="da/d5a/class_complex.html#ae5b51b749ea4964104b9527af9d8f556">Complex</a>
@@ -121,6 +128,13 @@ $(document).ready(function(){initNavTree('functions_func.html',''); initResizabl
</ul>
<h3><a id="index_b"></a>- b -</h3><ul>
<li>batch_predict()
: <a class="el" href="d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html#a55247df62cce0298a980cd794ee2664e">machine_learning::neural_network::NeuralNetwork</a>
</li>
</ul>
<h3><a id="index_c"></a>- c -</h3><ul>
<li>check_size_match()
: <a class="el" href="d6/d30/classmachine__learning_1_1adaline.html#ac8a9c2aaaa63b0f27ea176857e1e7d56">machine_learning::adaline</a>
@@ -154,6 +168,9 @@ $(document).ready(function(){initNavTree('functions_func.html',''); initResizabl
<li>deleteKey()
: <a class="el" href="d2/d05/class_min_heap.html#a37ac126eabb0c3ce04047172abccca29">MinHeap</a>
</li>
<li>DenseLayer()
: <a class="el" href="dc/d93/classmachine__learning_1_1neural__network_1_1layers_1_1_dense_layer.html#a2871146feaaa453558239df67b21e0d2">machine_learning::neural_network::layers::DenseLayer</a>
</li>
<li>deQueue()
: <a class="el" href="db/da9/classqueue.html#a089d4af5532e0a801f560070da6e1f86">queue&lt; Kind &gt;</a>
</li>
@@ -189,6 +206,12 @@ $(document).ready(function(){initNavTree('functions_func.html',''); initResizabl
, <a class="el" href="db/d19/structlinear__probing_1_1_entry.html#a2139f643a3caf074da1db8a9fa16fa77">linear_probing::Entry</a>
, <a class="el" href="da/dd1/structquadratic__probing_1_1_entry.html#a9df1118010a233d13ab3dd699bcb513e">quadratic_probing::Entry</a>
</li>
<li>evaluate()
: <a class="el" href="d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html#a0ee425af6fd83a033c021128b8253f52">machine_learning::neural_network::NeuralNetwork</a>
</li>
<li>evaluate_from_csv()
: <a class="el" href="d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html#a36494e26ff36d6e15c1022bb9a1ee848">machine_learning::neural_network::NeuralNetwork</a>
</li>
<li>extractMin()
: <a class="el" href="d2/d05/class_min_heap.html#a4014f1edaed0bd7db0c0d2ca53228980">MinHeap</a>
</li>
@@ -204,6 +227,10 @@ $(document).ready(function(){initNavTree('functions_func.html',''); initResizabl
</li>
<li>fit()
: <a class="el" href="d6/d30/classmachine__learning_1_1adaline.html#a74e3c6c037b67895014414c5d75465e5">machine_learning::adaline</a>
, <a class="el" href="d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html#a8f8eb4423c57a00b0ab46de226bc6509">machine_learning::neural_network::NeuralNetwork</a>
</li>
<li>fit_from_csv()
: <a class="el" href="d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html#a5172a6791b9bd24f4232bab8d6b81fff">machine_learning::neural_network::NeuralNetwork</a>
</li>
<li>front()
: <a class="el" href="db/da9/classqueue.html#a36d47fdbedc199609818385110d9f922">queue&lt; Kind &gt;</a>
@@ -233,6 +260,9 @@ $(document).ready(function(){initNavTree('functions_func.html',''); initResizabl
<li>get_inverse()
: <a class="el" href="d6/d26/classciphers_1_1_hill_cipher.html#a5a4cdbd4d4dad9efe2ed309bd466dd4b">ciphers::HillCipher</a>
</li>
<li>get_XY_from_csv()
: <a class="el" href="d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html#a8d983ebb3225a9901b713a0f05b44aba">machine_learning::neural_network::NeuralNetwork</a>
</li>
<li>getAdjList()
: <a class="el" href="da/d9a/class_graph.html#a6cb6fbec4ea7cfdfda368f2c468a757d">Graph</a>
</li>
@@ -246,7 +276,7 @@ $(document).ready(function(){initNavTree('functions_func.html',''); initResizabl
: <a class="el" href="da/d9a/class_graph.html#a8dcb5ce0b4a6f65827f5055d9d53a3f1">Graph</a>
</li>
<li>Graph()
: <a class="el" href="da/d9a/class_graph.html#adcbd1b60cab30b97c54d700eee8e456d">Graph</a>
: <a class="el" href="da/d9a/class_graph.html#a8c95e00effaea0cd9404dd74cd802ae3">Graph</a>
, <a class="el" href="dc/d61/classgraph_1_1_graph.html#a34414f67c2e3ea89774839b36b1575f8">graph::Graph</a>
, <a class="el" href="de/d00/classgraph_1_1is__graph__bipartite_1_1_graph.html#a477bf401cab737bb313f687b08fff082">graph::is_graph_bipartite::Graph</a>
</li>
@@ -307,6 +337,9 @@ $(document).ready(function(){initNavTree('functions_func.html',''); initResizabl
<li>left()
: <a class="el" href="d2/d05/class_min_heap.html#aa8c6c141e3de664819686aa637e1afca">MinHeap</a>
</li>
<li>load_model()
: <a class="el" href="d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html#a58ed20abf6ce3744535bd8b5bb9e741b">machine_learning::neural_network::NeuralNetwork</a>
</li>
<li>lowest_common_ancestor()
: <a class="el" href="d9/d23/classgraph_1_1_lowest_common_ancestor.html#a60151e19512b48cc0b14ea121df00488">graph::LowestCommonAncestor</a>
</li>
@@ -337,6 +370,9 @@ $(document).ready(function(){initNavTree('functions_func.html',''); initResizabl
<h3><a id="index_n"></a>- n -</h3><ul>
<li>NeuralNetwork()
: <a class="el" href="d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html#a39cb437b5043d750dca3d013caf3687d">machine_learning::neural_network::NeuralNetwork</a>
</li>
<li>new_val()
: <a class="el" href="d7/d7c/classstatistics_1_1stats__computer1.html#aa13bf7c38de112f71921a5525d71a2f2">statistics::stats_computer1&lt; T &gt;</a>
, <a class="el" href="d8/dab/classstatistics_1_1stats__computer2.html#ade6de704deea24fdc88077b3d9a0d534">statistics::stats_computer2&lt; T &gt;</a>
@@ -384,6 +420,8 @@ $(document).ready(function(){initNavTree('functions_func.html',''); initResizabl
<li>operator=()
: <a class="el" href="da/d5a/class_complex.html#a889215b7b004a3e7ec4d785ca5e7a2ba">Complex</a>
, <a class="el" href="db/d82/classlarge__number.html#aeb22d2aae39d1b1e0bd39c7f47b333eb">large_number</a>
, <a class="el" href="dc/d93/classmachine__learning_1_1neural__network_1_1layers_1_1_dense_layer.html#a8809e6df990f37c85c06474dd955cb2b">machine_learning::neural_network::layers::DenseLayer</a>
, <a class="el" href="d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html#a955088afdb35d1ea38ac41feb21a77b4">machine_learning::neural_network::NeuralNetwork</a>
, <a class="el" href="d1/dc2/classstack.html#a61370d5fbaf9ec6bca4a8c114c1058e1">stack&lt; Type &gt;</a>
</li>
<li>operator[]()
@@ -450,12 +488,18 @@ $(document).ready(function(){initNavTree('functions_func.html',''); initResizabl
<h3><a id="index_s"></a>- s -</h3><ul>
<li>save_model()
: <a class="el" href="d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html#a4f14e473bb0722c6490b9dc8da5982aa">machine_learning::neural_network::NeuralNetwork</a>
</li>
<li>search()
: <a class="el" href="dd/d2f/class_trie.html#a411e77126930a0942dd7b65e96b15206">Trie</a>
</li>
<li>searchElement()
: <a class="el" href="d1/d46/classdata__structure_1_1_skip_list.html#a7cda6370f8bd2b6d1db28bd5ca586a21">data_structure::SkipList</a>
</li>
<li>single_predict()
: <a class="el" href="d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html#a26680e7a28b3925f83b984d2dfa52256">machine_learning::neural_network::NeuralNetwork</a>
</li>
<li>SkipList()
: <a class="el" href="d1/d46/classdata__structure_1_1_skip_list.html#aed414cf88cfacb9554ecfd184b03fe04">data_structure::SkipList</a>
</li>
@@ -472,6 +516,9 @@ $(document).ready(function(){initNavTree('functions_func.html',''); initResizabl
<li>sum_range()
: <a class="el" href="dd/d91/class_fenwick_tree.html#a115ff5c548b429b737ea09f75817d1f9">FenwickTree</a>
</li>
<li>summary()
: <a class="el" href="d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html#a61d30113d13304c664057118b92a5931">machine_learning::neural_network::NeuralNetwork</a>
</li>
</ul>
@@ -504,6 +551,12 @@ $(document).ready(function(){initNavTree('functions_func.html',''); initResizabl
<h3><a id="index__7E"></a>- ~ -</h3><ul>
<li>~DenseLayer()
: <a class="el" href="dc/d93/classmachine__learning_1_1neural__network_1_1layers_1_1_dense_layer.html#ac9cda9453c4a0caf5bae7f9213b019a0">machine_learning::neural_network::layers::DenseLayer</a>
</li>
<li>~NeuralNetwork()
: <a class="el" href="d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html#a8973f687738ddd76f93b5562feae4027">machine_learning::neural_network::NeuralNetwork</a>
</li>
<li>~queue()
: <a class="el" href="db/da9/classqueue.html#ad215eee654953d25150bb25d5ac12b7c">queue&lt; Kind &gt;</a>
</li>