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</head>
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<body>
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<main>
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<article id="content">
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<header>
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<h1 class="title">Module <code>WaterSecurity.classification.classifier</code></h1>
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</header>
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<section id="section-intro">
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<details class="source">
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<summary>
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<span>Expand source code</span>
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</summary>
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<pre><code class="python">from sklearn.base import BaseEstimator, RegressorMixin
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import numpy as np
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class Classifier(BaseEstimator, RegressorMixin):
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# @TODO implement
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def fit(self, x_data, y_data):
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&#34;&#34;&#34;
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x_data: the nxm features
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y_data: the n labels, with values 0,1,2 or 3
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&#34;&#34;&#34;
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return self
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def predict(self, x_data):
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&#34;&#34;&#34;
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x_data: the nxm features
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Returns n predictions, which have values 0 to 3, they can be floats
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&#34;&#34;&#34;
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return np.zeros(x_data.shape[0])</code></pre>
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</details>
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</section>
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<section>
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</section>
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<section>
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</section>
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<section>
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</section>
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<section>
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<h2 class="section-title" id="header-classes">Classes</h2>
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<dl>
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<dt id="WaterSecurity.classification.classifier.Classifier"><code class="flex name class">
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<span>class <span class="ident">Classifier</span></span>
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</code></dt>
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<dd>
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<div class="desc"><p>Base class for all estimators in scikit-learn.</p>
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<h2 id="notes">Notes</h2>
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<p>All estimators should specify all the parameters that can be set
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at the class level in their <code>__init__</code> as explicit keyword
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arguments (no <code>*args</code> or <code>**kwargs</code>).</p></div>
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<details class="source">
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<summary>
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<span>Expand source code</span>
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</summary>
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<pre><code class="python">class Classifier(BaseEstimator, RegressorMixin):
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# @TODO implement
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def fit(self, x_data, y_data):
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&#34;&#34;&#34;
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x_data: the nxm features
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y_data: the n labels, with values 0,1,2 or 3
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&#34;&#34;&#34;
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return self
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def predict(self, x_data):
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&#34;&#34;&#34;
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x_data: the nxm features
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Returns n predictions, which have values 0 to 3, they can be floats
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&#34;&#34;&#34;
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return np.zeros(x_data.shape[0])</code></pre>
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</details>
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<h3>Ancestors</h3>
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<ul class="hlist">
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<li>sklearn.base.BaseEstimator</li>
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<li>sklearn.base.RegressorMixin</li>
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</ul>
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<h3>Methods</h3>
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<dl>
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<dt id="WaterSecurity.classification.classifier.Classifier.fit"><code class="name flex">
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<span>def <span class="ident">fit</span></span>(<span>self, x_data, y_data)</span>
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</code></dt>
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<dd>
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<div class="desc"><p>x_data: the nxm features
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y_data: the n labels, with values 0,1,2 or 3</p></div>
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<details class="source">
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<summary>
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<span>Expand source code</span>
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</summary>
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<pre><code class="python">def fit(self, x_data, y_data):
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&#34;&#34;&#34;
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x_data: the nxm features
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y_data: the n labels, with values 0,1,2 or 3
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&#34;&#34;&#34;
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return self</code></pre>
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</details>
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</dd>
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<dt id="WaterSecurity.classification.classifier.Classifier.predict"><code class="name flex">
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<span>def <span class="ident">predict</span></span>(<span>self, x_data)</span>
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</code></dt>
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<dd>
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<div class="desc"><p>x_data: the nxm features
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Returns n predictions, which have values 0 to 3, they can be floats</p></div>
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<details class="source">
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<summary>
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<span>Expand source code</span>
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</summary>
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<pre><code class="python">def predict(self, x_data):
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&#34;&#34;&#34;
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x_data: the nxm features
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Returns n predictions, which have values 0 to 3, they can be floats
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&#34;&#34;&#34;
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return np.zeros(x_data.shape[0])</code></pre>
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</details>
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</dd>
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</dl>
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</dd>
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</dl>
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</section>
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</article>
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<nav id="sidebar">
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<h1>Index</h1>
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<div class="toc">
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<ul></ul>
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</div>
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<ul id="index">
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<li><h3>Super-module</h3>
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<ul>
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<li><code><a title="WaterSecurity.classification" href="index.html">WaterSecurity.classification</a></code></li>
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</ul>
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</li>
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<li><h3><a href="#header-classes">Classes</a></h3>
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<ul>
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<li>
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<h4><code><a title="WaterSecurity.classification.classifier.Classifier" href="#WaterSecurity.classification.classifier.Classifier">Classifier</a></code></h4>
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<ul class="">
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<li><code><a title="WaterSecurity.classification.classifier.Classifier.fit" href="#WaterSecurity.classification.classifier.Classifier.fit">fit</a></code></li>
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<li><code><a title="WaterSecurity.classification.classifier.Classifier.predict" href="#WaterSecurity.classification.classifier.Classifier.predict">predict</a></code></li>
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</ul>
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</li>
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</li>
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</ul>
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