danaderp
/
ds4se
mirror of https://github.com/WM-SEMERU/ds4se.git


  
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            ---

title: Exploration Statistics

keywords: fastai
sidebar: home_sidebar

summary: "This module comprises all the functions for calculating descriptive statistics."
---
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<div class=" highlight hl-ipython3"><pre><span></span><span class="o">!</span>pip install dit
<span class="o">!</span>pip install sentencepiece
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<pre>Requirement already satisfied: dit in /usr/local/lib/python3.6/dist-packages (1.2.3)
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Requirement already satisfied: sentencepiece in /usr/local/lib/python3.6/dist-packages (0.1.85)
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<h4 id="get_desc_stats" class="doc_header"><code>get_desc_stats</code><a href="https://github.com/ncoop57/ds4se/tree/master/ds4se/desc/stats.py#L11" class="source_link" style="float:right">[source]</a></h4><blockquote><p><code>get_desc_stats</code>(<strong><code>l</code></strong>)</p>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">l</span> <span class="o">=</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">8</span><span class="p">,</span> <span class="mi">7</span><span class="p">,</span> <span class="mi">10</span><span class="p">]</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">get_desc_stats</span><span class="p">(</span><span class="n">l</span><span class="p">)</span>
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<pre>(10, 1, 5.333333333333333, 5.5, 3.559026084010437, 4.4478)</pre>
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<h4 id="confidence_interval" class="doc_header"><code>confidence_interval</code><a href="https://github.com/ncoop57/ds4se/tree/master/ds4se/desc/stats.py#L15" class="source_link" style="float:right">[source]</a></h4><blockquote><p><code>confidence_interval</code>(<strong><code>l</code></strong>, <strong><code>c</code></strong>=<em><code>0.95</code></em>)</p>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">confidence_interval</span><span class="p">(</span><span class="n">l</span><span class="p">)</span>
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<pre>(1.598364516031722, 9.068302150634944)</pre>
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<h4 id="report_stats" class="doc_header"><code>report_stats</code><a href="https://github.com/ncoop57/ds4se/tree/master/ds4se/desc/stats.py#L27" class="source_link" style="float:right">[source]</a></h4><blockquote><p><code>report_stats</code>(<strong><code>l</code></strong>, <strong><code>c</code></strong>=<em><code>0.95</code></em>)</p>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">report_stats</span><span class="p">(</span><span class="n">l</span><span class="p">)</span>
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<pre>Max: 10
Min: 1
Average: 5.333333333333333
Median: 5.5
Standard Deviation: 3.559026084010437
Median Absolute Deviation: 4.4478
95% of entropies fall within 1.598364516031722 and 9.068302150634944
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Create a histogram of the entropy distribution</span>
<span class="n">plt</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">LIB_entropies</span><span class="p">,</span> <span class="n">bins</span> <span class="o">=</span> <span class="mi">20</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s2">&quot;Num Files&quot;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s2">&quot;Entropy&quot;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">from</span> <span class="nn">nbdev.export</span> <span class="k">import</span> <span class="n">notebook2script</span>
<span class="n">notebook2script</span><span class="p">()</span>
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<pre>Converted 00_data.preprocessing.ipynb.
Converted 01_data.exploratory.information.ipynb.
Converted 01_data.exploratory.ipynb.
Converted 02_data.management.ipynb.
Converted 03_data.representation.ipynb.
Converted 04_templates.example.ipynb.
Converted 05_blog.example.ipynb.
Converted 06_benchmark.traceability.ipynb.
Converted 07_model.train.ipynb.
Converted 08_data.exploratory.information.ipynb.
Converted 09_data.exploratory.stats.ipynb.
Converted 10_data.exploratory.visualize.ipynb.
Converted index.ipynb.
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