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  1. ---
    2. 

  2. 

  3. title: Exploration Statistics
    4. 

  4. 

  5. keywords: fastai
    6. 

  6. sidebar: home_sidebar
    7. 

  7. 

  8. summary: "This module comprises all the functions for calculating descriptive statistics."
    9. 

  9. ---
    10. 

  10. <!--
    11. 

  11. 

  12. #################################################
    13. 

  13. ### THIS FILE WAS AUTOGENERATED! DO NOT EDIT! ###
    14. 

  14. #################################################
    15. 

  15. # file to edit: nbs/6.1_desc.metrics.se.ipynb
    16. 

  16. # command to build the docs after a change: nbdev_build_docs
    17. 

  17. 

  18. -->
    19. 

  19. 

  20. <div class="container" id="notebook-container">
    21. 

  21.     
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  30. <div class=" highlight hl-ipython3"><pre><span></span><span class="o">!</span>pip install dit
    31. 

  31. <span class="o">!</span>pip install sentencepiece
    32. 

  32. </pre></div>
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  33. 

  34.     </div>
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  35. </div>
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    44. 

  44. <pre>Requirement already satisfied: dit in /usr/local/lib/python3.6/dist-packages (1.2.3)
    45. 

  45. Requirement already satisfied: scipy&gt;=0.15.0 in /usr/local/lib/python3.6/dist-packages (from dit) (1.4.1)
    46. 

  46. Requirement already satisfied: networkx in /usr/local/lib/python3.6/dist-packages (from dit) (2.4)
    47. 

  47. Requirement already satisfied: contextlib2 in /usr/local/lib/python3.6/dist-packages (from dit) (0.5.5)
    48. 

  48. Requirement already satisfied: numpy&gt;=1.11 in /usr/local/lib/python3.6/dist-packages (from dit) (1.17.5)
    49. 

  49. Requirement already satisfied: boltons in /usr/local/lib/python3.6/dist-packages (from dit) (20.0.0)
    50. 

  50. Requirement already satisfied: debtcollector in /usr/local/lib/python3.6/dist-packages (from dit) (2.0.0)
    51. 

  51. Requirement already satisfied: six&gt;=1.4.0 in /usr/local/lib/python3.6/dist-packages (from dit) (1.12.0)
    52. 

  52. Requirement already satisfied: prettytable in /usr/local/lib/python3.6/dist-packages (from dit) (0.7.2)
    53. 

  53. Requirement already satisfied: decorator&gt;=4.3.0 in /usr/local/lib/python3.6/dist-packages (from networkx-&gt;dit) (4.4.1)
    54. 

  54. Requirement already satisfied: wrapt&gt;=1.7.0 in /usr/local/lib/python3.6/dist-packages (from debtcollector-&gt;dit) (1.11.2)
    55. 

  55. Requirement already satisfied: pbr!=2.1.0,&gt;=2.0.0 in /usr/local/lib/python3.6/dist-packages (from debtcollector-&gt;dit) (5.4.4)
    56. 

  56. Requirement already satisfied: sentencepiece in /usr/local/lib/python3.6/dist-packages (0.1.85)
    57. 

  57. </pre>
    58. 

  58. </div>
    59. 

  59. </div>
    60. 

  60. 

  61. </div>
    62. 

  62. </div>
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  63. 

  64. </div>
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  65. <div class="cell border-box-sizing code_cell rendered">
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  66. 

  67. </div>
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  79. <div class="output_markdown rendered_html output_subarea ">
    80. 

  80. <h4 id="get_desc_stats" class="doc_header"><code>get_desc_stats</code><a href="ds4se/desc/metrics/se.py#L17" class="source_link" style="float:right">[source]</a></h4><blockquote><p><code>get_desc_stats</code>(<strong><code>l</code></strong>)</p>
    81. 

  81. </blockquote>
    82. 

  82. 

  83. </div>
    84. 

  84. 

  85. </div>
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  86. 

  87. </div>
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  88. </div>
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  92. <div class="input">
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  94. <div class="inner_cell">
    95. 

  95.     <div class="input_area">
    96. 

  96. <div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#test list</span>
    97. 

  97. <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>
    98. 

  98. </pre></div>
    99. 

  99. 

  100.     </div>
    101. 

  101. </div>
    102. 

  102. </div>
    103. 

  103. 

  104. </div>
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  105. <div class="cell border-box-sizing code_cell rendered">
    106. 

  106. <div class="input">
    107. 

  107. 

  108. <div class="inner_cell">
    109. 

  109.     <div class="input_area">
    110. 

  110. <div class=" highlight hl-ipython3"><pre><span></span><span class="n">result</span> <span class="o">=</span> <span class="n">get_desc_stats</span><span class="p">(</span><span class="n">l</span><span class="p">)</span>
    111. 

  111. <span class="c1">#expected outcome:</span>
    112. 

  112. <span class="c1">#max = 10</span>
    113. 

  113. <span class="c1">#min = 1</span>
    114. 

  114. <span class="c1">#mean = 5.33333333</span>
    115. 

  115. <span class="c1">#median = 5.5</span>
    116. 

  116. <span class="c1">#stdev = 3.55902608</span>
    117. 

  117. <span class="c1">#mad = 4.4478</span>
    118. 

  118. <span class="k">assert</span> <span class="n">result</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">==</span> <span class="mi">10</span>
    119. 

  119. <span class="k">assert</span> <span class="n">result</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">==</span> <span class="mi">1</span>
    120. 

  120. <span class="k">assert</span> <span class="n">result</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">&gt;</span> <span class="mf">5.3</span>
    121. 

  121. <span class="k">assert</span> <span class="n">result</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">&lt;</span> <span class="mf">5.4</span>
    122. 

  122. <span class="k">assert</span> <span class="n">result</span><span class="p">[</span><span class="mi">3</span><span class="p">]</span> <span class="o">==</span> <span class="mf">5.5</span>
    123. 

  123. <span class="k">assert</span> <span class="n">result</span><span class="p">[</span><span class="mi">4</span><span class="p">]</span> <span class="o">&gt;</span> <span class="mf">3.55</span>
    124. 

  124. <span class="k">assert</span> <span class="n">result</span><span class="p">[</span><span class="mi">4</span><span class="p">]</span> <span class="o">&lt;</span> <span class="mf">3.56</span>
    125. 

  125. <span class="k">assert</span> <span class="n">result</span><span class="p">[</span><span class="mi">5</span><span class="p">]</span> <span class="o">&gt;</span> <span class="mf">4.44</span>
    126. 

  126. <span class="k">assert</span> <span class="n">result</span><span class="p">[</span><span class="mi">5</span><span class="p">]</span> <span class="o">&lt;</span> <span class="mf">4.45</span>
    127. 

  127. </pre></div>
    128. 

  128. 

  129.     </div>
    130. 

  130. </div>
    131. 

  131. </div>
    132. 

  132. 

  133. <div class="output_wrapper">
    134. 

  134. <div class="output">
    135. 

  135. 

  136. <div class="output_area">
    137. 

  137. 

  138. 

  139. 

  140. <div class="output_text output_subarea output_execute_result">
    141. 

  141. <pre>(10, 1, 5.333333333333333, 5.5, 3.559026084010437, 4.4478)</pre>
    142. 

  142. </div>
    143. 

  143. 

  144. </div>
    145. 

  145. 

  146. </div>
    147. 

  147. </div>
    148. 

  148. 

  149. </div>
    150. 

  150. <div class="cell border-box-sizing code_cell rendered">
    151. 

  151. 

  152. </div>
    153. 

  153. <div class="cell border-box-sizing code_cell rendered">
    154. 

  154. 

  155. <div class="output_wrapper">
    156. 

  156. <div class="output">
    157. 

  157. 

  158. <div class="output_area">
    159. 

  159. 

  160. 

  161. <div class="output_markdown rendered_html output_subarea ">
    162. 

  162. <h4 id="confidence_interval" class="doc_header"><code>confidence_interval</code><a href="ds4se/desc/metrics/se.py#L28" 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>
    163. 

  163. </blockquote>
    164. 

  164. 

  165. </div>
    166. 

  166. 

  167. </div>
    168. 

  168. 

  169. </div>
    170. 

  170. </div>
    171. 

  171. 

  172. </div>
    173. 

  173. <div class="cell border-box-sizing code_cell rendered">
    174. 

  174. <div class="input">
    175. 

  175. 

  176. <div class="inner_cell">
    177. 

  177.     <div class="input_area">
    178. 

  178. <div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#Test confidence Interval</span>
    179. 

  179. <span class="n">testCI</span> <span class="o">=</span> <span class="n">confidence_interval</span><span class="p">(</span><span class="n">l</span><span class="p">)</span>
    180. 

  180. 

  181. <span class="k">assert</span><span class="p">(</span><span class="n">testCI</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">==</span> <span class="mf">1.598364516031722</span><span class="p">)</span>
    182. 

  182. 

  183. <span class="k">assert</span><span class="p">(</span><span class="n">testCI</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">==</span> <span class="mf">9.068302150634944</span><span class="p">)</span>
    184. 

  184. </pre></div>
    185. 

  185. 

  186.     </div>
    187. 

  187. </div>
    188. 

  188. </div>
    189. 

  189. 

  190. <div class="output_wrapper">
    191. 

  191. <div class="output">
    192. 

  192. 

  193. <div class="output_area">
    194. 

  194. 

  195. 

  196. 

  197. <div class="output_text output_subarea output_execute_result">
    198. 

  198. <pre>(1.598364516031722, 9.068302150634944)</pre>
    199. 

  199. </div>
    200. 

  200. 

  201. </div>
    202. 

  202. 

  203. </div>
    204. 

  204. </div>
    205. 

  205. 

  206. </div>
    207. 

  207. <div class="cell border-box-sizing code_cell rendered">
    208. 

  208. 

  209. </div>
    210. 

  210. <div class="cell border-box-sizing code_cell rendered">
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  211. 

  212. <div class="output_wrapper">
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  213. <div class="output">
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  216. 

  217. 

  218. <div class="output_markdown rendered_html output_subarea ">
    219. 

  219. <h4 id="report_stats" class="doc_header"><code>report_stats</code><a href="ds4se/desc/metrics/se.py#L47" 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>
    220. 

  220. </blockquote>
    221. 

  221. 

  222. </div>
    223. 

  223. 

  224. </div>
    225. 

  225. 

  226. </div>
    227. 

  227. </div>
    228. 

  228. 

  229. </div>
    230. 

  230. <div class="cell border-box-sizing code_cell rendered">
    231. 

  231. <div class="input">
    232. 

  232. 

  233. <div class="inner_cell">
    234. 

  234.     <div class="input_area">
    235. 

  235. <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>
    236. 

  236. </pre></div>
    237. 

  237. 

  238.     </div>
    239. 

  239. </div>
    240. 

  240. </div>
    241. 

  241. 

  242. <div class="output_wrapper">
    243. 

  243. <div class="output">
    244. 

  244. 

  245. <div class="output_area">
    246. 

  246. 

  247. <div class="output_subarea output_stream output_stdout output_text">
    248. 

  248. <pre>Max: 10
    249. 

  249. Min: 1
    250. 

  250. Average: 5.333333333333333
    251. 

  251. Median: 5.5
    252. 

  252. Standard Deviation: 3.559026084010437
    253. 

  253. Median Absolute Deviation: 4.4478
    254. 

  254. 95% of entropies fall within 1.598364516031722 and 9.068302150634944
    255. 

  255. </pre>
    256. 

  256. </div>
    257. 

  257. </div>
    258. 

  258. 

  259. </div>
    260. 

  260. </div>
    261. 

  261. 

  262. </div>
    263. 

  263. <div class="cell border-box-sizing code_cell rendered">
    264. 

  264. <div class="input">
    265. 

  265. 

  266. <div class="inner_cell">
    267. 

  267.     <div class="input_area">
    268. 

  268. <div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Create a histogram of the entropy distribution</span>
    269. 

  269. <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>
    270. 

  270. <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>
    271. 

  271. <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>
    272. 

  272. <span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
    273. 

  273. </pre></div>
    274. 

  274. 

  275.     </div>
    276. 

  276. </div>
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  277. </div>
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    287. 

  287. <img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAX4AAAEGCAYAAABiq/5QAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz
    288. 

  288. AAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjMsIGh0
    289. 

  289. dHA6Ly9tYXRwbG90bGliLm9yZy+AADFEAAAQEklEQVR4nO3df5BdZX3H8fdHoiOhQVR2nEJMQ61D
    290. 

  290. x1FUZkcRrFpAiw2CQ9spjDhonaY/EX+0DrYd0bF/UH+0an/AZADBSqE1Iv7qUBjBqlNlTAKDQLBa
    291. 

  291. jRhAE8aW34rRb/+4N7qEzeaS3XNOdp/3a2Znzz3n7H2+JwmffXjuOc+TqkKS1I7HDV2AJKlfBr8k
    292. 

  292. Ncbgl6TGGPyS1BiDX5Ias2zoAiZx8MEH1+rVq4cuQ5IWlY0bN95dVVO77l8Uwb969Wo2bNgwdBmS
    293. 

  293. tKgk+c5s+x3qkaTGGPyS1BiDX5IaY/BLUmMMfklqjMEvSY3pLPiTXJRkW5KbZ+x7b5LbktyU5BNJ
    294. 

  294. DuqqfUnS7Lrs8V8MnLDLvmuAZ1fVEcB/A2/vsH1J0iw6C/6q+gLwg132XV1VO8YvvwKs7Kp9SdLs
    295. 

  295. hnxy9/eAf93dwSRrgbUAq1at6qsmqQmrz/7sIO1uOXfNIO3qkQb5cDfJXwI7gEt3d05Vrauq6aqa
    296. 

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    362. 

  362. gg==
    363. 

  363. "
    364. 

  364. >
    365. 

  365. </div>
    366. 

  366. 

  367. </div>
    368. 

  368. 

  369. </div>
    370. 

  370. </div>
    371. 

  371. 

  372. </div>
    373. 

  373. <div class="cell border-box-sizing code_cell rendered">
    374. 

  374. <div class="input">
    375. 

  375. 

  376. <div class="inner_cell">
    377. 

  377.     <div class="input_area">
    378. 

  378. <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>
    379. 

  379. <span class="n">notebook2script</span><span class="p">()</span>
    380. 

  380. </pre></div>
    381. 

  381. 

  382.     </div>
    383. 

  383. </div>
    384. 

  384. </div>
    385. 

  385. 

  386. <div class="output_wrapper">
    387. 

  387. <div class="output">
    388. 

  388. 

  389. <div class="output_area">
    390. 

  390. 

  391. <div class="output_subarea output_stream output_stdout output_text">
    392. 

  392. <pre>Converted 00_data.preprocessing.ipynb.
    393. 

  393. Converted 01_data.exploratory.information.ipynb.
    394. 

  394. Converted 01_data.exploratory.ipynb.
    395. 

  395. Converted 02_data.management.ipynb.
    396. 

  396. Converted 03_data.representation.ipynb.
    397. 

  397. Converted 04_templates.example.ipynb.
    398. 

  398. Converted 05_blog.example.ipynb.
    399. 

  399. Converted 06_benchmark.traceability.ipynb.
    400. 

  400. Converted 07_model.train.ipynb.
    401. 

  401. Converted 08_data.exploratory.information.ipynb.
    402. 

  402. Converted 09_data.exploratory.stats.ipynb.
    403. 

  403. Converted 10_data.exploratory.visualize.ipynb.
    404. 

  404. Converted index.ipynb.
    405. 

  405. </pre>
    406. 

  406. </div>
    407. 

  407. </div>
    408. 

  408. 

  409. </div>
    410. 

  410. </div>
    411. 

  411. 

  412. </div>
    413. 

  413. </div>
    414. 

  414.  
    415. 

  415.
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