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Diffstat (limited to 'docs/posts/2020-01-16-Image-Classifier-Using-Turicreate.html')
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1 files changed, 48 insertions, 48 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 c1fea70..dfa8f23 100644 --- a/docs/posts/2020-01-16-Image-Classifier-Using-Turicreate.html +++ b/docs/posts/2020-01-16-Image-Classifier-Using-Turicreate.html @@ -192,39 +192,39 @@ <p>\</p> <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> +<pre><span></span><code><span class="nt">+-------------------------+------------------------+</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="nt">+-------------------------+------------------------+</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="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="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="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="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="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="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="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="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="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="nt">+-------------------------+------------------------+</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="w"></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="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="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="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">|</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="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="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="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="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="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="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="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="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="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="nt">+-------------------------+------------------------+---------+</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="w"></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="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> @@ -288,28 +288,28 @@ <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="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="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="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="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="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="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> -<span class="err">|</span><span class="w"> </span><span class="err">2</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">11</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">0.488541</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">1.943987</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">0.733075</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">0.804878</span><span class="w"> </span><span class="err">|</span><span class="w"></span> -<span class="err">|</span><span class="w"> </span><span class="err">3</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">14</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">2.442703</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">2.512545</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">0.727917</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">0.841463</span><span class="w"> </span><span class="err">|</span><span class="w"></span> -<span class="err">|</span><span class="w"> </span><span class="err">4</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">15</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">2.442703</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">2.826964</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">0.861380</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">0.853659</span><span class="w"> </span><span class="err">|</span><span class="w"></span> -<span class="err">|</span><span class="w"> </span><span class="err">9</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">28</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">2.340435</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">5.492035</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">0.941328</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">0.975610</span><span class="w"> </span><span class="err">|</span><span class="w"></span> -<span class="nt">+-----------+----------+-----------+--------------+-------------------+---------------------+</span><span class="w"></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">|</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="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="err">|</span><span class="w"> </span><span class="err">2</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">11</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">0.488541</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">1.943987</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">0.733075</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">0.804878</span><span class="w"> </span><span class="err">|</span> +<span class="err">|</span><span class="w"> </span><span class="err">3</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">14</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">2.442703</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">2.512545</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">0.727917</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">0.841463</span><span class="w"> </span><span class="err">|</span> +<span class="err">|</span><span class="w"> </span><span class="err">4</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">15</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">2.442703</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">2.826964</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">0.861380</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">0.853659</span><span class="w"> </span><span class="err">|</span> +<span class="err">|</span><span class="w"> </span><span class="err">9</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">28</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">2.340435</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">5.492035</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">0.941328</span><span class="w"> </span><span class="err">|</span><span class="w"> </span><span class="err">0.975610</span><span class="w"> </span><span class="err">|</span> +<span class="nt">+-----------+----------+-----------+--------------+-------------------+---------------------+</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> |