rebuild

1 files changed, 55 insertions, 50 deletions

diff --git a/docs/posts/2020-01-16-Image-Classifier-Using-Turicreate.html b/docs/posts/2020-01-16-Image-Classifier-Using-Turicreate.html
index a9f60ea..4235b29 100644
--- a/docs/posts/2020-01-16-Image-Classifier-Using-Turicreate.html
+++ b/docs/posts/2020-01-16-Image-Classifier-Using-Turicreate.html
@@ -160,39 +160,39 @@
 
 <p>\</p>
 
-<div class="codehilite"><pre><span></span><code><span class="nt">+-------------------------+------------------------+</span>
-<span class="err">|           path          |         image          |</span>
-<span class="nt">+-------------------------+------------------------+</span>
-<span class="err">|  ./train/default/1.jpg  | Height: 224 Width: 224 |</span>
-<span class="err">|  ./train/default/10.jpg | Height: 224 Width: 224 |</span>
-<span class="err">| ./train/default/100.jpg | Height: 224 Width: 224 |</span>
-<span class="err">| ./train/default/101.jpg | Height: 224 Width: 224 |</span>
-<span class="err">| ./train/default/102.jpg | Height: 224 Width: 224 |</span>
-<span class="err">| ./train/default/103.jpg | Height: 224 Width: 224 |</span>
-<span class="err">| ./train/default/104.jpg | Height: 224 Width: 224 |</span>
-<span class="err">| ./train/default/105.jpg | Height: 224 Width: 224 |</span>
-<span class="err">| ./train/default/106.jpg | Height: 224 Width: 224 |</span>
-<span class="err">| ./train/default/107.jpg | Height: 224 Width: 224 |</span>
-<span class="nt">+-------------------------+------------------------+</span>
+<div class="codehilite"><pre><span></span><code><span class="nt">+-------------------------+------------------------+</span><span class="w"></span>
+<span class="err">|</span><span class="w">           </span><span class="err">path</span><span class="w">          </span><span class="err">|</span><span class="w">         </span><span class="err">image</span><span class="w">          </span><span class="err">|</span><span class="w"></span>
+<span class="nt">+-------------------------+------------------------+</span><span class="w"></span>
+<span class="err">|</span><span class="w">  </span><span class="err">./train/default/1.jpg</span><span class="w">  </span><span class="err">|</span><span class="w"> </span><span class="err">Height:</span><span class="w"> </span><span class="err">224</span><span class="w"> </span><span class="err">Width:</span><span class="w"> </span><span class="err">224</span><span class="w"> </span><span class="err">|</span><span class="w"></span>
+<span class="err">|</span><span class="w">  </span><span class="err">./train/default/10.jpg</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">Height:</span><span class="w"> </span><span class="err">224</span><span class="w"> </span><span class="err">Width:</span><span class="w"> </span><span class="err">224</span><span class="w"> </span><span class="err">|</span><span class="w"></span>
+<span class="err">|</span><span class="w"> </span><span class="err">./train/default/100.jpg</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">Height:</span><span class="w"> </span><span class="err">224</span><span class="w"> </span><span class="err">Width:</span><span class="w"> </span><span class="err">224</span><span class="w"> </span><span class="err">|</span><span class="w"></span>
+<span class="err">|</span><span class="w"> </span><span class="err">./train/default/101.jpg</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">Height:</span><span class="w"> </span><span class="err">224</span><span class="w"> </span><span class="err">Width:</span><span class="w"> </span><span class="err">224</span><span class="w"> </span><span class="err">|</span><span class="w"></span>
+<span class="err">|</span><span class="w"> </span><span class="err">./train/default/102.jpg</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">Height:</span><span class="w"> </span><span class="err">224</span><span class="w"> </span><span class="err">Width:</span><span class="w"> </span><span class="err">224</span><span class="w"> </span><span class="err">|</span><span class="w"></span>
+<span class="err">|</span><span class="w"> </span><span class="err">./train/default/103.jpg</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">Height:</span><span class="w"> </span><span class="err">224</span><span class="w"> </span><span class="err">Width:</span><span class="w"> </span><span class="err">224</span><span class="w"> </span><span class="err">|</span><span class="w"></span>
+<span class="err">|</span><span class="w"> </span><span class="err">./train/default/104.jpg</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">Height:</span><span class="w"> </span><span class="err">224</span><span class="w"> </span><span class="err">Width:</span><span class="w"> </span><span class="err">224</span><span class="w"> </span><span class="err">|</span><span class="w"></span>
+<span class="err">|</span><span class="w"> </span><span class="err">./train/default/105.jpg</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">Height:</span><span class="w"> </span><span class="err">224</span><span class="w"> </span><span class="err">Width:</span><span class="w"> </span><span class="err">224</span><span class="w"> </span><span class="err">|</span><span class="w"></span>
+<span class="err">|</span><span class="w"> </span><span class="err">./train/default/106.jpg</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">Height:</span><span class="w"> </span><span class="err">224</span><span class="w"> </span><span class="err">Width:</span><span class="w"> </span><span class="err">224</span><span class="w"> </span><span class="err">|</span><span class="w"></span>
+<span class="err">|</span><span class="w"> </span><span class="err">./train/default/107.jpg</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">Height:</span><span class="w"> </span><span class="err">224</span><span class="w"> </span><span class="err">Width:</span><span class="w"> </span><span class="err">224</span><span class="w"> </span><span class="err">|</span><span class="w"></span>
+<span class="nt">+-------------------------+------------------------+</span><span class="w"></span>
 <span class="nt">[2028</span><span class="na"> rows x 2 columns]</span>
-<span class="na">Note</span><span class="p">:</span><span class="err"> </span><span class="nc">Only</span><span class="err"> </span><span class="nc">the</span><span class="err"> </span><span class="nc">head</span><span class="err"> </span><span class="nc">of</span><span class="err"> </span><span class="nc">the</span><span class="err"> </span><span class="nc">SFrame</span><span class="err"> </span><span class="nc">is</span><span class="err"> </span><span class="nc">printed.</span>
+<span class="na">Note</span><span class="p">:</span><span class="err"> </span><span class="nc">Only</span><span class="err"> </span><span class="nc">the</span><span class="err"> </span><span class="nc">head</span><span class="err"> </span><span class="nc">of</span><span class="err"> </span><span class="nc">the</span><span class="err"> </span><span class="nc">SFrame</span><span class="err"> </span><span class="nc">is</span><span class="err"> </span><span class="nc">printed.</span><span class="w"></span>
 <span class="nt">You</span><span class="na"> can use print_rows(num_rows=m, num_columns=n) to print more rows and columns.</span>
 <span class="na">+-------------------------+------------------------+---------+</span>
-<span class="p">|</span><span class="na">           path          </span><span class="p">|</span><span class="na">         image          </span><span class="p">|</span><span class="na">  label  </span><span class="p">|</span>
-<span class="nt">+-------------------------+------------------------+---------+</span>
-<span class="err">|  ./train/default/1.jpg  | Height: 224 Width: 224 | default |</span>
-<span class="err">|  ./train/default/10.jpg | Height: 224 Width: 224 | default |</span>
-<span class="err">| ./train/default/100.jpg | Height: 224 Width: 224 | default |</span>
-<span class="err">| ./train/default/101.jpg | Height: 224 Width: 224 | default |</span>
-<span class="err">| ./train/default/102.jpg | Height: 224 Width: 224 | default |</span>
-<span class="err">| ./train/default/103.jpg | Height: 224 Width: 224 | default |</span>
-<span class="err">| ./train/default/104.jpg | Height: 224 Width: 224 | default |</span>
-<span class="err">| ./train/default/105.jpg | Height: 224 Width: 224 | default |</span>
-<span class="err">| ./train/default/106.jpg | Height: 224 Width: 224 | default |</span>
-<span class="err">| ./train/default/107.jpg | Height: 224 Width: 224 | default |</span>
-<span class="nt">+-------------------------+------------------------+---------+</span>
+<span class="p">|</span><span class="na">           path          </span><span class="p">|</span><span class="na">         image          </span><span class="p">|</span><span class="na">  label  </span><span class="p">|</span><span class="w"></span>
+<span class="nt">+-------------------------+------------------------+---------+</span><span class="w"></span>
+<span class="err">|</span><span class="w">  </span><span class="err">./train/default/1.jpg</span><span class="w">  </span><span class="err">|</span><span class="w"> </span><span class="err">Height:</span><span class="w"> </span><span class="err">224</span><span class="w"> </span><span class="err">Width:</span><span class="w"> </span><span class="err">224</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">default</span><span class="w"> </span><span class="err">|</span><span class="w"></span>
+<span class="err">|</span><span class="w">  </span><span class="err">./train/default/10.jpg</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">Height:</span><span class="w"> </span><span class="err">224</span><span class="w"> </span><span class="err">Width:</span><span class="w"> </span><span class="err">224</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">default</span><span class="w"> </span><span class="err">|</span><span class="w"></span>
+<span class="err">|</span><span class="w"> </span><span class="err">./train/default/100.jpg</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">Height:</span><span class="w"> </span><span class="err">224</span><span class="w"> </span><span class="err">Width:</span><span class="w"> </span><span class="err">224</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">default</span><span class="w"> </span><span class="err">|</span><span class="w"></span>
+<span class="err">|</span><span class="w"> </span><span class="err">./train/default/101.jpg</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">Height:</span><span class="w"> </span><span class="err">224</span><span class="w"> </span><span class="err">Width:</span><span class="w"> </span><span class="err">224</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">default</span><span class="w"> </span><span class="err">|</span><span class="w"></span>
+<span class="err">|</span><span class="w"> </span><span class="err">./train/default/102.jpg</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">Height:</span><span class="w"> </span><span class="err">224</span><span class="w"> </span><span class="err">Width:</span><span class="w"> </span><span class="err">224</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">default</span><span class="w"> </span><span class="err">|</span><span class="w"></span>
+<span class="err">|</span><span class="w"> </span><span class="err">./train/default/103.jpg</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">Height:</span><span class="w"> </span><span class="err">224</span><span class="w"> </span><span class="err">Width:</span><span class="w"> </span><span class="err">224</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">default</span><span class="w"> </span><span class="err">|</span><span class="w"></span>
+<span class="err">|</span><span class="w"> </span><span class="err">./train/default/104.jpg</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">Height:</span><span class="w"> </span><span class="err">224</span><span class="w"> </span><span class="err">Width:</span><span class="w"> </span><span class="err">224</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">default</span><span class="w"> </span><span class="err">|</span><span class="w"></span>
+<span class="err">|</span><span class="w"> </span><span class="err">./train/default/105.jpg</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">Height:</span><span class="w"> </span><span class="err">224</span><span class="w"> </span><span class="err">Width:</span><span class="w"> </span><span class="err">224</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">default</span><span class="w"> </span><span class="err">|</span><span class="w"></span>
+<span class="err">|</span><span class="w"> </span><span class="err">./train/default/106.jpg</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">Height:</span><span class="w"> </span><span class="err">224</span><span class="w"> </span><span class="err">Width:</span><span class="w"> </span><span class="err">224</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">default</span><span class="w"> </span><span class="err">|</span><span class="w"></span>
+<span class="err">|</span><span class="w"> </span><span class="err">./train/default/107.jpg</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">Height:</span><span class="w"> </span><span class="err">224</span><span class="w"> </span><span class="err">Width:</span><span class="w"> </span><span class="err">224</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">default</span><span class="w"> </span><span class="err">|</span><span class="w"></span>
+<span class="nt">+-------------------------+------------------------+---------+</span><span class="w"></span>
 <span class="nt">[2028</span><span class="na"> rows x 3 columns]</span>
-<span class="na">Note</span><span class="p">:</span><span class="err"> </span><span class="nc">Only</span><span class="err"> </span><span class="nc">the</span><span class="err"> </span><span class="nc">head</span><span class="err"> </span><span class="nc">of</span><span class="err"> </span><span class="nc">the</span><span class="err"> </span><span class="nc">SFrame</span><span class="err"> </span><span class="nc">is</span><span class="err"> </span><span class="nc">printed.</span>
+<span class="na">Note</span><span class="p">:</span><span class="err"> </span><span class="nc">Only</span><span class="err"> </span><span class="nc">the</span><span class="err"> </span><span class="nc">head</span><span class="err"> </span><span class="nc">of</span><span class="err"> </span><span class="nc">the</span><span class="err"> </span><span class="nc">SFrame</span><span class="err"> </span><span class="nc">is</span><span class="err"> </span><span class="nc">printed.</span><span class="w"></span>
 <span class="nt">You</span><span class="na"> can use print_rows(num_rows=m, num_columns=n) to print more rows and columns.</span>
 </code></pre></div>
 
@@ -252,28 +252,28 @@
 <span class="na">Completed 1536/1633</span>
 <span class="na">Completed 1600/1633</span>
 <span class="na">Completed 1633/1633</span>
-<span class="na">PROGRESS</span><span class="p">:</span><span class="err"> </span><span class="nc">Creating</span><span class="err"> </span><span class="nc">a</span><span class="err"> </span><span class="nc">validation</span><span class="err"> </span><span class="nc">set</span><span class="err"> </span><span class="nc">from</span><span class="err"> </span><span class="nc">5</span><span class="err"> </span><span class="nc">percent</span><span class="err"> </span><span class="nc">of</span><span class="err"> </span><span class="nc">training</span><span class="err"> </span><span class="nc">data.</span><span class="err"> </span><span class="nc">This</span><span class="err"> </span><span class="nc">may</span><span class="err"> </span><span class="nc">take</span><span class="err"> </span><span class="nc">a</span><span class="err"> </span><span class="nc">while.</span>
-          <span class="err">You can set ``validation_set=None`` to disable validation tracking.</span>
-
-<span class="nt">Logistic</span><span class="na"> regression</span><span class="p">:</span>
-<span class="nt">--------------------------------------------------------</span>
-<span class="nt">Number</span><span class="na"> of examples          </span><span class="p">:</span><span class="err"> </span><span class="nc">1551</span>
-<span class="nt">Number</span><span class="na"> of classes           </span><span class="p">:</span><span class="err"> </span><span class="nc">3</span>
-<span class="nt">Number</span><span class="na"> of feature columns   </span><span class="p">:</span><span class="err"> </span><span class="nc">1</span>
-<span class="nt">Number</span><span class="na"> of unpacked features </span><span class="p">:</span><span class="err"> </span><span class="nc">2048</span>
-<span class="nt">Number</span><span class="na"> of coefficients      </span><span class="p">:</span><span class="err"> </span><span class="nc">4098</span>
+<span class="na">PROGRESS</span><span class="p">:</span><span class="err"> </span><span class="nc">Creating</span><span class="err"> </span><span class="nc">a</span><span class="err"> </span><span class="nc">validation</span><span class="err"> </span><span class="nc">set</span><span class="err"> </span><span class="nc">from</span><span class="err"> </span><span class="nc">5</span><span class="err"> </span><span class="nc">percent</span><span class="err"> </span><span class="nc">of</span><span class="err"> </span><span class="nc">training</span><span class="err"> </span><span class="nc">data.</span><span class="err"> </span><span class="nc">This</span><span class="err"> </span><span class="nc">may</span><span class="err"> </span><span class="nc">take</span><span class="err"> </span><span class="nc">a</span><span class="err"> </span><span class="nc">while.</span><span class="w"></span>
+<span class="w">          </span><span class="err">You</span><span class="w"> </span><span class="err">can</span><span class="w"> </span><span class="err">set</span><span class="w"> </span><span class="err">``validation_set=None``</span><span class="w"> </span><span class="err">to</span><span class="w"> </span><span class="err">disable</span><span class="w"> </span><span class="err">validation</span><span class="w"> </span><span class="err">tracking.</span><span class="w"></span>
+
+<span class="nt">Logistic</span><span class="na"> regression</span><span class="p">:</span><span class="w"></span>
+<span class="nt">--------------------------------------------------------</span><span class="w"></span>
+<span class="nt">Number</span><span class="na"> of examples          </span><span class="p">:</span><span class="err"> </span><span class="nc">1551</span><span class="w"></span>
+<span class="nt">Number</span><span class="na"> of classes           </span><span class="p">:</span><span class="err"> </span><span class="nc">3</span><span class="w"></span>
+<span class="nt">Number</span><span class="na"> of feature columns   </span><span class="p">:</span><span class="err"> </span><span class="nc">1</span><span class="w"></span>
+<span class="nt">Number</span><span class="na"> of unpacked features </span><span class="p">:</span><span class="err"> </span><span class="nc">2048</span><span class="w"></span>
+<span class="nt">Number</span><span class="na"> of coefficients      </span><span class="p">:</span><span class="err"> </span><span class="nc">4098</span><span class="w"></span>
 <span class="nt">Starting</span><span class="na"> L-BFGS</span>
 <span class="na">--------------------------------------------------------</span>
 <span class="na">+-----------+----------+-----------+--------------+-------------------+---------------------+</span>
-<span class="p">|</span><span class="na"> Iteration </span><span class="p">|</span><span class="na"> Passes   </span><span class="p">|</span><span class="na"> Step size </span><span class="p">|</span><span class="na"> Elapsed Time </span><span class="p">|</span><span class="na"> Training Accuracy </span><span class="p">|</span><span class="na"> Validation Accuracy </span><span class="p">|</span>
-<span class="nt">+-----------+----------+-----------+--------------+-------------------+---------------------+</span>
-<span class="err">| 0         | 6        | 0.018611  | 0.891830     | 0.553836          | 0.560976            |</span>
-<span class="err">| 1         | 10       | 0.390832  | 1.622383     | 0.744681          | 0.792683            |</span>
-<span class="err">| 2         | 11       | 0.488541  | 1.943987     | 0.733075          | 0.804878            |</span>
-<span class="err">| 3         | 14       | 2.442703  | 2.512545     | 0.727917          | 0.841463            |</span>
-<span class="err">| 4         | 15       | 2.442703  | 2.826964     | 0.861380          | 0.853659            |</span>
-<span class="err">| 9         | 28       | 2.340435  | 5.492035     | 0.941328          | 0.975610            |</span>
-<span class="nt">+-----------+----------+-----------+--------------+-------------------+---------------------+</span>
+<span class="p">|</span><span class="na"> Iteration </span><span class="p">|</span><span class="na"> Passes   </span><span class="p">|</span><span class="na"> Step size </span><span class="p">|</span><span class="na"> Elapsed Time </span><span class="p">|</span><span class="na"> Training Accuracy </span><span class="p">|</span><span class="na"> Validation Accuracy </span><span class="p">|</span><span class="w"></span>
+<span class="nt">+-----------+----------+-----------+--------------+-------------------+---------------------+</span><span class="w"></span>
+<span class="err">|</span><span class="w"> </span><span class="err">0</span><span class="w">         </span><span class="err">|</span><span class="w"> </span><span class="err">6</span><span class="w">        </span><span class="err">|</span><span class="w"> </span><span class="err">0.018611</span><span class="w">  </span><span class="err">|</span><span class="w"> </span><span class="err">0.891830</span><span class="w">     </span><span class="err">|</span><span class="w"> </span><span class="err">0.553836</span><span class="w">          </span><span class="err">|</span><span class="w"> </span><span class="err">0.560976</span><span class="w">            </span><span class="err">|</span><span class="w"></span>
+<span class="err">|</span><span class="w"> </span><span class="err">1</span><span class="w">         </span><span class="err">|</span><span class="w"> </span><span class="err">10</span><span class="w">       </span><span class="err">|</span><span class="w"> </span><span class="err">0.390832</span><span class="w">  </span><span class="err">|</span><span class="w"> </span><span class="err">1.622383</span><span class="w">     </span><span class="err">|</span><span class="w"> </span><span class="err">0.744681</span><span class="w">          </span><span class="err">|</span><span class="w"> </span><span class="err">0.792683</span><span class="w">            </span><span class="err">|</span><span class="w"></span>
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+<span class="nt">+-----------+----------+-----------+--------------+-------------------+---------------------+</span><span class="w"></span>
 <span class="nt">Performing</span><span class="na"> feature extraction on resized images...</span>
 <span class="na">Completed  64/395</span>
 <span class="na">Completed 128/395</span>
@@ -287,9 +287,14 @@
 
 <p>We just got an accuracy of 94% on Training Data and 97% on Validation Data!</p>
 
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