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2022-07-13 18:25:37 +00:00
parent 664786d231
commit 27a5cb14bf
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2
examples/simple/deploy/deploy.ipynb
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@ -62,7 +62,7 @@
"\n",
"@GreatAI.create\n",
"@use_model(\"small-domain-prediction\", version=\"latest\")\n",
"@parameter(\"target_confidence\", validator=lambda c: 0 <= c <= 100)\n",
"@parameter(\"target_confidence\", validate=lambda c: 0 <= c <= 100)\n",
"def predict_domain(\n",
" text: str, model: Pipeline, target_confidence: int = 50\n",
") -> MultiLabelClassificationOutput:\n",

8
examples/simple/deploy/index.html
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@ -408,7 +408,7 @@
<li class="md-nav__item">
<a href="../../../how-to-guides/use-service/" class="md-nav__link">
How to deploy a GreatAI service
How to perform prediction with GreatAI
</a>
</li>
@ -1892,7 +1892,7 @@ Licensed under the Apache License, Version 2.0.
<span class="nd">@GreatAI</span><span class="o">.</span><span class="n">create</span>
<span class="nd">@use_model</span><span class="p">(</span><span class="s2">&quot;small-domain-prediction&quot;</span><span class="p">,</span> <span class="n">version</span><span class="o">=</span><span class="s2">&quot;latest&quot;</span><span class="p">)</span>
<span class="nd">@parameter</span><span class="p">(</span><span class="s2">&quot;target_confidence&quot;</span><span class="p">,</span> <span class="n">validator</span><span class="o">=</span><span class="k">lambda</span> <span class="n">c</span><span class="p">:</span> <span class="mi">0</span> <span class="o">&lt;=</span> <span class="n">c</span> <span class="o">&lt;=</span> <span class="mi">100</span><span class="p">)</span>
<span class="nd">@parameter</span><span class="p">(</span><span class="s2">&quot;target_confidence&quot;</span><span class="p">,</span> <span class="n">validate</span><span class="o">=</span><span class="k">lambda</span> <span class="n">c</span><span class="p">:</span> <span class="mi">0</span> <span class="o">&lt;=</span> <span class="n">c</span> <span class="o">&lt;=</span> <span class="mi">100</span><span class="p">)</span>
<span class="k">def</span> <span class="nf">predict_domain</span><span class="p">(</span>
<span class="n">text</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">model</span><span class="p">:</span> <span class="n">Pipeline</span><span class="p">,</span> <span class="n">target_confidence</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">50</span>
<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">MultiLabelClassificationOutput</span><span class="p">:</span>
@ -1962,7 +1962,7 @@ from great_ai import (
@GreatAI.create
@use_model("small-domain-prediction", version="latest")
@parameter("target_confidence", validator=lambda c: 0 <= c <= 100)
@parameter("target_confidence", validate=lambda c: 0 <= c <= 100)
def predict_domain(
text: str, model: Pipeline, target_confidence: int = 50
) -> MultiLabelClassificationOutput:
@ -2255,7 +2255,7 @@ class="
<small>
Last update:
<span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-date">July 12, 2022</span>
<span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-date">July 13, 2022</span>
</small>