Merge pull request #666 from mindsdb/staging

Release 1.5.0

Author: George3d6

.github/workflows/benchmark_check.yml

@@ -1,4 +1,4 @@
-name: Benchmark results check
+name: Benchmark Result Check Lightwood
 
 on:
   pull_request:

.github/workflows/doc_build.yml

@@ -1,14 +1,9 @@
-name: Lightwood tests workflow
+name: Documentation Build Lightwood
 
 on:
   push:
     branches:
-      - stable
       - staging
-  pull_request:
-    branches:
-      - staging
-
 jobs:
   doc_build:
     runs-on: ubuntu-latest
@@ -27,8 +22,9 @@ jobs:
         sudo apt install pandoc
         python -m pip install --upgrade pip
         pip install --no-cache-dir -e .
-        pip install install 'Sphinx==4.1.2' 'sphinx-autoapi==1.8.4' 'sphinx-autodoc-typehints==1.12.0' 'sphinx-code-include==1.1.1' 'sphinx-rtd-theme==0.5.2' 'sphinxcontrib-applehelp==1.0.2' 'sphinxcontrib-devhelp==1.0.2' 'sphinxcontrib-htmlhelp==2.0.0' 'sphinxcontrib-jsmath==1.0.1' 'sphinxcontrib-napoleon==0.7' 'sphinxcontrib-qthelp==1.0.3' 'sphinxcontrib-serializinghtml==1.1.5' autoapi nbsphinx myst_parser pandoc
+        pip install install 'Sphinx==4.1.2' 'sphinx-autoapi==1.8.4' 'sphinx-autodoc-typehints==1.12.0' 'sphinx-code-include==1.1.1' 'sphinx-rtd-theme==0.5.2' 'sphinxcontrib-applehelp==1.0.2' 'sphinxcontrib-devhelp==1.0.2' 'sphinxcontrib-htmlhelp==2.0.0' 'sphinxcontrib-jsmath==1.0.1' 'sphinxcontrib-napoleon==0.7' 'sphinxcontrib-qthelp==1.0.3' 'sphinxcontrib-serializinghtml==1.1.5' autoapi nbsphinx myst_parser pandoc jupyter
         cd docssrc && make github
+        find . -iname '*.ipynb' -exec jupyter nbconvert --to notebook --inplace --execute {} \;
     
     - name: deploy docs
       uses: EndBug/add-and-commit@v7

.github/workflows/ligthtwood.yml

@@ -1,10 +1,11 @@
-name: Lightwood tests workflow
+name: Integration and Unit Tests Lightwood
 
 on:
   push:
   pull_request:
     branches:
       - stable
+      - staging
 
 jobs:
   test:

README.md

@@ -45,7 +45,7 @@ We predominantly use PyTorch based approaches, but can support other models.
 
 ## Usage
 
-We invite you to check out our [documentation](https://mindsdb.github.io/lightwood/) for specific guidelines and tutorials! Please stay tuned for updates and changes. 
+We invite you to check out our [documentation](https://lightwood.io) for specific guidelines and tutorials! Please stay tuned for updates and changes. 
 
 ### Quick use cases
 Lightwood works with `pandas.DataFrames`. Once a DataFrame is loaded, defined a "ProblemDefinition" via a dictionary. The only thing a user needs to specify is the name of the column to predict (via the key `target`).

docs/.buildinfo

@@ -1,4 +1,4 @@
 # Sphinx build info version 1
 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
-config: 9794b493587dab5db6871ea286abac67
+config: 9dfabd0e53d7fb001818b8d9add86228
 tags: 645f666f9bcd5a90fca523b33c5a78b7

docs/CNAME

@@ -0,0 +1 @@
+lightwood.io

docs/_images/tutorials_tutorial_data_analysis_tutorial_data_analysis_28_0.png

@@ -7,7 +7,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
 
-  <title>api.dtype &mdash; lightwood 1.4.0 documentation</title>
+  <title>api.dtype &mdash; lightwood 1.5.0 documentation</title>
 
 
 
@@ -67,7 +67,7 @@
 
 
               <div class="version">
-                1.4.0
+                1.5.0
               </div>
 
 

docs/_images/tutorials_tutorial_data_analysis_tutorial_data_analysis_28_1.png

@@ -7,7 +7,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
 
-  <title>api.high_level &mdash; lightwood 1.4.0 documentation</title>
+  <title>api.high_level &mdash; lightwood 1.5.0 documentation</title>
 
 
 
@@ -67,7 +67,7 @@
 
 
               <div class="version">
-                1.4.0
+                1.5.0
               </div>
 
 
@@ -340,6 +340,19 @@ <h1>Source code for api.high_level</h1><div class="highlight"><pre>
         <span class="n">spec</span><span class="o">.</span><span class="n">loader</span><span class="o">.</span><span class="n">exec_module</span><span class="p">(</span><span class="n">temp_module</span><span class="p">)</span>
 
     <span class="k">return</span> <span class="n">temp_module</span>
+
+
+<div class="viewcode-block" id="predictor_from_json_ai"><a class="viewcode-back" href="../../api/high_level.html#api.high_level.predictor_from_json_ai">[docs]</a><span class="k">def</span> <span class="nf">predictor_from_json_ai</span><span class="p">(</span><span class="n">json_ai</span><span class="p">:</span> <span class="n">JsonAI</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">PredictorInterface</span><span class="p">:</span>
+    <span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">    Creates a ready-to-train ``Predictor`` object based on the details you specified inside your JsonAI.</span>
+
+<span class="sd">    :param json_ai: A ``JsonAI`` object</span>
+
+<span class="sd">    :returns: A lightwood ``Predictor`` object</span>
+<span class="sd">    &quot;&quot;&quot;</span>  <span class="c1"># noqa</span>
+    <span class="n">code</span> <span class="o">=</span> <span class="n">code_from_json_ai</span><span class="p">(</span><span class="n">json_ai</span><span class="p">)</span>
+    <span class="n">predictor</span> <span class="o">=</span> <span class="n">predictor_from_code</span><span class="p">(</span><span class="n">code</span><span class="p">)</span>
+    <span class="k">return</span> <span class="n">predictor</span></div>
 </pre></div>
 
            </div>