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<h1>Source code for pyspark.ml.wrapper</h1><div class="highlight"><pre>
<span></span><span class="c1">#</span>
<span class="c1"># Licensed to the Apache Software Foundation (ASF) under one or more</span>
<span class="c1"># contributor license agreements. See the NOTICE file distributed with</span>
<span class="c1"># this work for additional information regarding copyright ownership.</span>
<span class="c1"># The ASF licenses this file to You under the Apache License, Version 2.0</span>
<span class="c1"># (the &quot;License&quot;); you may not use this file except in compliance with</span>
<span class="c1"># the License. You may obtain a copy of the License at</span>
<span class="c1">#</span>
<span class="c1"># http://www.apache.org/licenses/LICENSE-2.0</span>
<span class="c1">#</span>
<span class="c1"># Unless required by applicable law or agreed to in writing, software</span>
<span class="c1"># distributed under the License is distributed on an &quot;AS IS&quot; BASIS,</span>
<span class="c1"># WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.</span>
<span class="c1"># See the License for the specific language governing permissions and</span>
<span class="c1"># limitations under the License.</span>
<span class="c1">#</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">abc</span><span class="w"> </span><span class="kn">import</span> <span class="n">ABCMeta</span><span class="p">,</span> <span class="n">abstractmethod</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">typing</span><span class="w"> </span><span class="kn">import</span> <span class="n">Any</span><span class="p">,</span> <span class="n">Generic</span><span class="p">,</span> <span class="n">Optional</span><span class="p">,</span> <span class="n">List</span><span class="p">,</span> <span class="n">Type</span><span class="p">,</span> <span class="n">TypeVar</span><span class="p">,</span> <span class="n">TYPE_CHECKING</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">pyspark</span><span class="w"> </span><span class="kn">import</span> <span class="n">since</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">pyspark.ml.util</span><span class="w"> </span><span class="kn">import</span> <span class="p">(</span>
<span class="n">try_remote_transform_relation</span><span class="p">,</span>
<span class="n">try_remote_call</span><span class="p">,</span>
<span class="n">try_remote_fit</span><span class="p">,</span>
<span class="n">try_remote_del</span><span class="p">,</span>
<span class="n">try_remote_return_java_class</span><span class="p">,</span>
<span class="n">try_remote_intercept</span><span class="p">,</span>
<span class="p">)</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">pyspark.sql</span><span class="w"> </span><span class="kn">import</span> <span class="n">DataFrame</span><span class="p">,</span> <span class="n">is_remote</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">pyspark.ml</span><span class="w"> </span><span class="kn">import</span> <span class="n">Estimator</span><span class="p">,</span> <span class="n">Predictor</span><span class="p">,</span> <span class="n">PredictionModel</span><span class="p">,</span> <span class="n">Transformer</span><span class="p">,</span> <span class="n">Model</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">pyspark.ml.base</span><span class="w"> </span><span class="kn">import</span> <span class="n">_PredictorParams</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">pyspark.ml.param</span><span class="w"> </span><span class="kn">import</span> <span class="n">Param</span><span class="p">,</span> <span class="n">Params</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">pyspark.ml.util</span><span class="w"> </span><span class="kn">import</span> <span class="n">_jvm</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">pyspark.ml.common</span><span class="w"> </span><span class="kn">import</span> <span class="n">inherit_doc</span><span class="p">,</span> <span class="n">_java2py</span><span class="p">,</span> <span class="n">_py2java</span>
<span class="k">if</span> <span class="n">TYPE_CHECKING</span><span class="p">:</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">pyspark.ml._typing</span><span class="w"> </span><span class="kn">import</span> <span class="n">ParamMap</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">py4j.java_gateway</span><span class="w"> </span><span class="kn">import</span> <span class="n">JavaObject</span><span class="p">,</span> <span class="n">JavaClass</span>
<span class="n">T</span> <span class="o">=</span> <span class="n">TypeVar</span><span class="p">(</span><span class="s2">&quot;T&quot;</span><span class="p">)</span>
<span class="n">JW</span> <span class="o">=</span> <span class="n">TypeVar</span><span class="p">(</span><span class="s2">&quot;JW&quot;</span><span class="p">,</span> <span class="n">bound</span><span class="o">=</span><span class="s2">&quot;JavaWrapper&quot;</span><span class="p">)</span>
<span class="n">JM</span> <span class="o">=</span> <span class="n">TypeVar</span><span class="p">(</span><span class="s2">&quot;JM&quot;</span><span class="p">,</span> <span class="n">bound</span><span class="o">=</span><span class="s2">&quot;JavaTransformer&quot;</span><span class="p">)</span>
<span class="n">JP</span> <span class="o">=</span> <span class="n">TypeVar</span><span class="p">(</span><span class="s2">&quot;JP&quot;</span><span class="p">,</span> <span class="n">bound</span><span class="o">=</span><span class="s2">&quot;JavaParams&quot;</span><span class="p">)</span>
<span class="k">class</span><span class="w"> </span><span class="nc">JavaWrapper</span><span class="p">:</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Wrapper class for a Java companion object</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">java_obj</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="s2">&quot;JavaObject&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">):</span>
<span class="nb">super</span><span class="p">(</span><span class="n">JavaWrapper</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_java_obj</span> <span class="o">=</span> <span class="n">java_obj</span>
<span class="nd">@try_remote_del</span>
<span class="k">def</span><span class="w"> </span><span class="fm">__del__</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="kc">None</span><span class="p">:</span>
<span class="k">try</span><span class="p">:</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">pyspark.core.context</span><span class="w"> </span><span class="kn">import</span> <span class="n">SparkContext</span>
<span class="k">if</span> <span class="n">SparkContext</span><span class="o">.</span><span class="n">_active_spark_context</span> <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">_java_obj</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="n">SparkContext</span><span class="o">.</span><span class="n">_active_spark_context</span><span class="o">.</span><span class="n">_gateway</span><span class="o">.</span><span class="n">detach</span><span class="p">(</span> <span class="c1"># type: ignore[union-attr]</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_java_obj</span>
<span class="p">)</span>
<span class="k">except</span> <span class="ne">Exception</span><span class="p">:</span>
<span class="k">pass</span>
<span class="nd">@classmethod</span>
<span class="k">def</span><span class="w"> </span><span class="nf">_create_from_java_class</span><span class="p">(</span><span class="bp">cls</span><span class="p">:</span> <span class="n">Type</span><span class="p">[</span><span class="n">JW</span><span class="p">],</span> <span class="n">java_class</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">:</span> <span class="n">Any</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">JW</span><span class="p">:</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Construct this object from given Java classname and arguments</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="n">java_obj</span> <span class="o">=</span> <span class="n">JavaWrapper</span><span class="o">.</span><span class="n">_new_java_obj</span><span class="p">(</span><span class="n">java_class</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">)</span>
<span class="k">return</span> <span class="bp">cls</span><span class="p">(</span><span class="n">java_obj</span><span class="p">)</span>
<span class="nd">@try_remote_call</span>
<span class="k">def</span><span class="w"> </span><span class="nf">_call_java</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">name</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">:</span> <span class="n">Any</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Any</span><span class="p">:</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">pyspark.core.context</span><span class="w"> </span><span class="kn">import</span> <span class="n">SparkContext</span>
<span class="n">m</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_java_obj</span><span class="p">,</span> <span class="n">name</span><span class="p">)</span>
<span class="n">sc</span> <span class="o">=</span> <span class="n">SparkContext</span><span class="o">.</span><span class="n">_active_spark_context</span>
<span class="k">assert</span> <span class="n">sc</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span>
<span class="n">java_args</span> <span class="o">=</span> <span class="p">[</span><span class="n">_py2java</span><span class="p">(</span><span class="n">sc</span><span class="p">,</span> <span class="n">arg</span><span class="p">)</span> <span class="k">for</span> <span class="n">arg</span> <span class="ow">in</span> <span class="n">args</span><span class="p">]</span>
<span class="k">return</span> <span class="n">_java2py</span><span class="p">(</span><span class="n">sc</span><span class="p">,</span> <span class="n">m</span><span class="p">(</span><span class="o">*</span><span class="n">java_args</span><span class="p">))</span>
<span class="nd">@staticmethod</span>
<span class="nd">@try_remote_return_java_class</span>
<span class="k">def</span><span class="w"> </span><span class="nf">_new_java_obj</span><span class="p">(</span><span class="n">java_class</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">:</span> <span class="n">Any</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="s2">&quot;JavaObject&quot;</span><span class="p">:</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Returns a new Java object.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">pyspark.core.context</span><span class="w"> </span><span class="kn">import</span> <span class="n">SparkContext</span>
<span class="n">sc</span> <span class="o">=</span> <span class="n">SparkContext</span><span class="o">.</span><span class="n">_active_spark_context</span>
<span class="k">assert</span> <span class="n">sc</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span>
<span class="n">java_obj</span> <span class="o">=</span> <span class="n">_jvm</span><span class="p">()</span>
<span class="k">for</span> <span class="n">name</span> <span class="ow">in</span> <span class="n">java_class</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">&quot;.&quot;</span><span class="p">):</span>
<span class="n">java_obj</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">java_obj</span><span class="p">,</span> <span class="n">name</span><span class="p">)</span>
<span class="n">java_args</span> <span class="o">=</span> <span class="p">[</span><span class="n">_py2java</span><span class="p">(</span><span class="n">sc</span><span class="p">,</span> <span class="n">arg</span><span class="p">)</span> <span class="k">for</span> <span class="n">arg</span> <span class="ow">in</span> <span class="n">args</span><span class="p">]</span>
<span class="k">return</span> <span class="n">java_obj</span><span class="p">(</span><span class="o">*</span><span class="n">java_args</span><span class="p">)</span>
<span class="nd">@staticmethod</span>
<span class="k">def</span><span class="w"> </span><span class="nf">_new_java_array</span><span class="p">(</span><span class="n">pylist</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Any</span><span class="p">],</span> <span class="n">java_class</span><span class="p">:</span> <span class="s2">&quot;JavaClass&quot;</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="s2">&quot;JavaObject&quot;</span><span class="p">:</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Create a Java array of given java_class type. Useful for</span>
<span class="sd"> calling a method with a Scala Array from Python with Py4J.</span>
<span class="sd"> If the param pylist is a 2D array, then a 2D java array will be returned.</span>
<span class="sd"> The returned 2D java array is a square, non-jagged 2D array that is big</span>
<span class="sd"> enough for all elements. The empty slots in the inner Java arrays will</span>
<span class="sd"> be filled with null to make the non-jagged 2D array.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> pylist : list</span>
<span class="sd"> Python list to convert to a Java Array.</span>
<span class="sd"> java_class : :py:class:`py4j.java_gateway.JavaClass`</span>
<span class="sd"> Java class to specify the type of Array. Should be in the</span>
<span class="sd"> form of sc._gateway.jvm.* (sc is a valid Spark Context).</span>
<span class="sd"> Example primitive Java classes:</span>
<span class="sd"> - basestring -&gt; sc._gateway.jvm.java.lang.String</span>
<span class="sd"> - int -&gt; sc._gateway.jvm.java.lang.Integer</span>
<span class="sd"> - float -&gt; sc._gateway.jvm.java.lang.Double</span>
<span class="sd"> - bool -&gt; sc._gateway.jvm.java.lang.Boolean</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> :py:class:`py4j.java_collections.JavaArray`</span>
<span class="sd"> Java Array of converted pylist.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">pyspark.core.context</span><span class="w"> </span><span class="kn">import</span> <span class="n">SparkContext</span>
<span class="n">sc</span> <span class="o">=</span> <span class="n">SparkContext</span><span class="o">.</span><span class="n">_active_spark_context</span>
<span class="k">assert</span> <span class="n">sc</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span>
<span class="k">assert</span> <span class="n">sc</span><span class="o">.</span><span class="n">_gateway</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span>
<span class="n">java_array</span> <span class="o">=</span> <span class="kc">None</span>
<span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">pylist</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">0</span> <span class="ow">and</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">pylist</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="nb">list</span><span class="p">):</span>
<span class="c1"># If pylist is a 2D array, then a 2D java array will be created.</span>
<span class="c1"># The 2D array is a square, non-jagged 2D array that is big enough for all elements.</span>
<span class="n">inner_array_length</span> <span class="o">=</span> <span class="mi">0</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">pylist</span><span class="p">)):</span>
<span class="n">inner_array_length</span> <span class="o">=</span> <span class="nb">max</span><span class="p">(</span><span class="n">inner_array_length</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">pylist</span><span class="p">[</span><span class="n">i</span><span class="p">]))</span>
<span class="n">java_array</span> <span class="o">=</span> <span class="n">sc</span><span class="o">.</span><span class="n">_gateway</span><span class="o">.</span><span class="n">new_array</span><span class="p">(</span><span class="n">java_class</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">pylist</span><span class="p">),</span> <span class="n">inner_array_length</span><span class="p">)</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">pylist</span><span class="p">)):</span>
<span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">pylist</span><span class="p">[</span><span class="n">i</span><span class="p">])):</span>
<span class="n">java_array</span><span class="p">[</span><span class="n">i</span><span class="p">][</span><span class="n">j</span><span class="p">]</span> <span class="o">=</span> <span class="n">pylist</span><span class="p">[</span><span class="n">i</span><span class="p">][</span><span class="n">j</span><span class="p">]</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">java_array</span> <span class="o">=</span> <span class="n">sc</span><span class="o">.</span><span class="n">_gateway</span><span class="o">.</span><span class="n">new_array</span><span class="p">(</span><span class="n">java_class</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">pylist</span><span class="p">))</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">pylist</span><span class="p">)):</span>
<span class="n">java_array</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">=</span> <span class="n">pylist</span><span class="p">[</span><span class="n">i</span><span class="p">]</span>
<span class="k">return</span> <span class="n">java_array</span>
<span class="nd">@inherit_doc</span>
<span class="k">class</span><span class="w"> </span><span class="nc">JavaParams</span><span class="p">(</span><span class="n">JavaWrapper</span><span class="p">,</span> <span class="n">Params</span><span class="p">,</span> <span class="n">metaclass</span><span class="o">=</span><span class="n">ABCMeta</span><span class="p">):</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Utility class to help create wrapper classes from Java/Scala</span>
<span class="sd"> implementations of pipeline components.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="c1">#: The param values in the Java object should be</span>
<span class="c1">#: synced with the Python wrapper in fit/transform/evaluate/copy.</span>
<span class="k">def</span><span class="w"> </span><span class="nf">_make_java_param_pair</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">param</span><span class="p">:</span> <span class="n">Param</span><span class="p">[</span><span class="n">T</span><span class="p">],</span> <span class="n">value</span><span class="p">:</span> <span class="n">T</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="s2">&quot;JavaObject&quot;</span><span class="p">:</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Makes a Java param pair.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">pyspark.core.context</span><span class="w"> </span><span class="kn">import</span> <span class="n">SparkContext</span>
<span class="n">sc</span> <span class="o">=</span> <span class="n">SparkContext</span><span class="o">.</span><span class="n">_active_spark_context</span>
<span class="k">assert</span> <span class="n">sc</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">_java_obj</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span>
<span class="n">param</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_resolveParam</span><span class="p">(</span><span class="n">param</span><span class="p">)</span>
<span class="n">java_param</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_java_obj</span><span class="o">.</span><span class="n">getParam</span><span class="p">(</span><span class="n">param</span><span class="o">.</span><span class="n">name</span><span class="p">)</span>
<span class="n">java_value</span> <span class="o">=</span> <span class="n">_py2java</span><span class="p">(</span><span class="n">sc</span><span class="p">,</span> <span class="n">value</span><span class="p">)</span>
<span class="k">return</span> <span class="n">java_param</span><span class="o">.</span><span class="n">w</span><span class="p">(</span><span class="n">java_value</span><span class="p">)</span>
<span class="k">def</span><span class="w"> </span><span class="nf">_transfer_params_to_java</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="kc">None</span><span class="p">:</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Transforms the embedded params to the companion Java object.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">pyspark.core.context</span><span class="w"> </span><span class="kn">import</span> <span class="n">SparkContext</span>
<span class="k">assert</span> <span class="bp">self</span><span class="o">.</span><span class="n">_java_obj</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span>
<span class="n">pair_defaults</span> <span class="o">=</span> <span class="p">[]</span>
<span class="k">for</span> <span class="n">param</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">params</span><span class="p">:</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">isSet</span><span class="p">(</span><span class="n">param</span><span class="p">):</span>
<span class="n">pair</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_make_java_param_pair</span><span class="p">(</span><span class="n">param</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_paramMap</span><span class="p">[</span><span class="n">param</span><span class="p">])</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_java_obj</span><span class="o">.</span><span class="n">set</span><span class="p">(</span><span class="n">pair</span><span class="p">)</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">hasDefault</span><span class="p">(</span><span class="n">param</span><span class="p">):</span>
<span class="n">pair</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_make_java_param_pair</span><span class="p">(</span><span class="n">param</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_defaultParamMap</span><span class="p">[</span><span class="n">param</span><span class="p">])</span>
<span class="n">pair_defaults</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">pair</span><span class="p">)</span>
<span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">pair_defaults</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">0</span><span class="p">:</span>
<span class="n">sc</span> <span class="o">=</span> <span class="n">SparkContext</span><span class="o">.</span><span class="n">_active_spark_context</span>
<span class="k">assert</span> <span class="n">sc</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">sc</span><span class="o">.</span><span class="n">_jvm</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span>
<span class="n">pair_defaults_seq</span> <span class="o">=</span> <span class="n">sc</span><span class="o">.</span><span class="n">_jvm</span><span class="o">.</span><span class="n">PythonUtils</span><span class="o">.</span><span class="n">toSeq</span><span class="p">(</span><span class="n">pair_defaults</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_java_obj</span><span class="o">.</span><span class="n">setDefault</span><span class="p">(</span><span class="n">pair_defaults_seq</span><span class="p">)</span>
<span class="k">def</span><span class="w"> </span><span class="nf">_transfer_param_map_to_java</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">pyParamMap</span><span class="p">:</span> <span class="s2">&quot;ParamMap&quot;</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="s2">&quot;JavaObject&quot;</span><span class="p">:</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Transforms a Python ParamMap into a Java ParamMap.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="n">paramMap</span> <span class="o">=</span> <span class="n">JavaWrapper</span><span class="o">.</span><span class="n">_new_java_obj</span><span class="p">(</span><span class="s2">&quot;org.apache.spark.ml.param.ParamMap&quot;</span><span class="p">)</span>
<span class="k">for</span> <span class="n">param</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">params</span><span class="p">:</span>
<span class="k">if</span> <span class="n">param</span> <span class="ow">in</span> <span class="n">pyParamMap</span><span class="p">:</span>
<span class="n">pair</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_make_java_param_pair</span><span class="p">(</span><span class="n">param</span><span class="p">,</span> <span class="n">pyParamMap</span><span class="p">[</span><span class="n">param</span><span class="p">])</span>
<span class="n">paramMap</span><span class="o">.</span><span class="n">put</span><span class="p">([</span><span class="n">pair</span><span class="p">])</span>
<span class="k">return</span> <span class="n">paramMap</span>
<span class="k">def</span><span class="w"> </span><span class="nf">_create_params_from_java</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="kc">None</span><span class="p">:</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> SPARK-10931: Temporary fix to create params that are defined in the Java obj but not here</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="k">assert</span> <span class="bp">self</span><span class="o">.</span><span class="n">_java_obj</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span>
<span class="n">java_params</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_java_obj</span><span class="o">.</span><span class="n">params</span><span class="p">())</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">pyspark.ml.param</span><span class="w"> </span><span class="kn">import</span> <span class="n">Param</span>
<span class="k">for</span> <span class="n">java_param</span> <span class="ow">in</span> <span class="n">java_params</span><span class="p">:</span>
<span class="n">java_param_name</span> <span class="o">=</span> <span class="n">java_param</span><span class="o">.</span><span class="n">name</span><span class="p">()</span>
<span class="k">if</span> <span class="ow">not</span> <span class="nb">hasattr</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">java_param_name</span><span class="p">):</span>
<span class="n">param</span><span class="p">:</span> <span class="n">Param</span><span class="p">[</span><span class="n">Any</span><span class="p">]</span> <span class="o">=</span> <span class="n">Param</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">java_param_name</span><span class="p">,</span> <span class="n">java_param</span><span class="o">.</span><span class="n">doc</span><span class="p">())</span>
<span class="nb">setattr</span><span class="p">(</span><span class="n">param</span><span class="p">,</span> <span class="s2">&quot;created_from_java_param&quot;</span><span class="p">,</span> <span class="kc">True</span><span class="p">)</span>
<span class="nb">setattr</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">java_param_name</span><span class="p">,</span> <span class="n">param</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_params</span> <span class="o">=</span> <span class="kc">None</span> <span class="c1"># need to reset so self.params will discover new params</span>
<span class="k">def</span><span class="w"> </span><span class="nf">_transfer_params_from_java</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="kc">None</span><span class="p">:</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Transforms the embedded params from the companion Java object.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">pyspark.core.context</span><span class="w"> </span><span class="kn">import</span> <span class="n">SparkContext</span>
<span class="n">sc</span> <span class="o">=</span> <span class="n">SparkContext</span><span class="o">.</span><span class="n">_active_spark_context</span>
<span class="k">assert</span> <span class="n">sc</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">_java_obj</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span>
<span class="k">for</span> <span class="n">param</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">params</span><span class="p">:</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_java_obj</span><span class="o">.</span><span class="n">hasParam</span><span class="p">(</span><span class="n">param</span><span class="o">.</span><span class="n">name</span><span class="p">):</span>
<span class="n">java_param</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_java_obj</span><span class="o">.</span><span class="n">getParam</span><span class="p">(</span><span class="n">param</span><span class="o">.</span><span class="n">name</span><span class="p">)</span>
<span class="c1"># SPARK-14931: Only check set params back to avoid default params mismatch.</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_java_obj</span><span class="o">.</span><span class="n">isSet</span><span class="p">(</span><span class="n">java_param</span><span class="p">):</span>
<span class="n">java_value</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_java_obj</span><span class="o">.</span><span class="n">getOrDefault</span><span class="p">(</span><span class="n">java_param</span><span class="p">)</span>
<span class="k">if</span> <span class="n">param</span><span class="o">.</span><span class="n">typeConverter</span><span class="o">.</span><span class="vm">__name__</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">&quot;toList&quot;</span><span class="p">):</span>
<span class="n">value</span> <span class="o">=</span> <span class="p">[</span><span class="n">_java2py</span><span class="p">(</span><span class="n">sc</span><span class="p">,</span> <span class="n">x</span><span class="p">)</span> <span class="k">for</span> <span class="n">x</span> <span class="ow">in</span> <span class="nb">list</span><span class="p">(</span><span class="n">java_value</span><span class="p">)]</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">value</span> <span class="o">=</span> <span class="n">_java2py</span><span class="p">(</span><span class="n">sc</span><span class="p">,</span> <span class="n">java_value</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_set</span><span class="p">(</span><span class="o">**</span><span class="p">{</span><span class="n">param</span><span class="o">.</span><span class="n">name</span><span class="p">:</span> <span class="n">value</span><span class="p">})</span>
<span class="c1"># SPARK-10931: Temporary fix for params that have a default in Java</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_java_obj</span><span class="o">.</span><span class="n">hasDefault</span><span class="p">(</span><span class="n">java_param</span><span class="p">)</span> <span class="ow">and</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">isDefined</span><span class="p">(</span><span class="n">param</span><span class="p">):</span>
<span class="n">value</span> <span class="o">=</span> <span class="n">_java2py</span><span class="p">(</span><span class="n">sc</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_java_obj</span><span class="o">.</span><span class="n">getDefault</span><span class="p">(</span><span class="n">java_param</span><span class="p">))</span><span class="o">.</span><span class="n">get</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_setDefault</span><span class="p">(</span><span class="o">**</span><span class="p">{</span><span class="n">param</span><span class="o">.</span><span class="n">name</span><span class="p">:</span> <span class="n">value</span><span class="p">})</span>
<span class="k">def</span><span class="w"> </span><span class="nf">_transfer_param_map_from_java</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">javaParamMap</span><span class="p">:</span> <span class="s2">&quot;JavaObject&quot;</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="s2">&quot;ParamMap&quot;</span><span class="p">:</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Transforms a Java ParamMap into a Python ParamMap.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">pyspark.core.context</span><span class="w"> </span><span class="kn">import</span> <span class="n">SparkContext</span>
<span class="n">sc</span> <span class="o">=</span> <span class="n">SparkContext</span><span class="o">.</span><span class="n">_active_spark_context</span>
<span class="k">assert</span> <span class="n">sc</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span>
<span class="n">paramMap</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">()</span>
<span class="k">for</span> <span class="n">pair</span> <span class="ow">in</span> <span class="n">javaParamMap</span><span class="o">.</span><span class="n">toList</span><span class="p">():</span>
<span class="n">param</span> <span class="o">=</span> <span class="n">pair</span><span class="o">.</span><span class="n">param</span><span class="p">()</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">hasParam</span><span class="p">(</span><span class="nb">str</span><span class="p">(</span><span class="n">param</span><span class="o">.</span><span class="n">name</span><span class="p">())):</span>
<span class="n">paramMap</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">getParam</span><span class="p">(</span><span class="n">param</span><span class="o">.</span><span class="n">name</span><span class="p">())]</span> <span class="o">=</span> <span class="n">_java2py</span><span class="p">(</span><span class="n">sc</span><span class="p">,</span> <span class="n">pair</span><span class="o">.</span><span class="n">value</span><span class="p">())</span>
<span class="k">return</span> <span class="n">paramMap</span>
<span class="nd">@staticmethod</span>
<span class="k">def</span><span class="w"> </span><span class="nf">_empty_java_param_map</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="s2">&quot;JavaObject&quot;</span><span class="p">:</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Returns an empty Java ParamMap reference.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="k">return</span> <span class="n">_jvm</span><span class="p">()</span><span class="o">.</span><span class="n">org</span><span class="o">.</span><span class="n">apache</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">ml</span><span class="o">.</span><span class="n">param</span><span class="o">.</span><span class="n">ParamMap</span><span class="p">()</span>
<span class="k">def</span><span class="w"> </span><span class="nf">_to_java</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="s2">&quot;JavaObject&quot;</span><span class="p">:</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Transfer this instance&#39;s Params to the wrapped Java object, and return the Java object.</span>
<span class="sd"> Used for ML persistence.</span>
<span class="sd"> Meta-algorithms such as Pipeline should override this method.</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> py4j.java_gateway.JavaObject</span>
<span class="sd"> Java object equivalent to this instance.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_transfer_params_to_java</span><span class="p">()</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_java_obj</span>
<span class="nd">@staticmethod</span>
<span class="k">def</span><span class="w"> </span><span class="nf">_from_java</span><span class="p">(</span><span class="n">java_stage</span><span class="p">:</span> <span class="s2">&quot;JavaObject&quot;</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="s2">&quot;JP&quot;</span><span class="p">:</span> <span class="c1"># type: ignore</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Given a Java object, create and return a Python wrapper of it.</span>
<span class="sd"> Used for ML persistence.</span>
<span class="sd"> Meta-algorithms such as Pipeline should override this method as a classmethod.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="k">def</span><span class="w"> </span><span class="nf">__get_class</span><span class="p">(</span><span class="n">clazz</span><span class="p">:</span> <span class="nb">str</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Type</span><span class="p">[</span><span class="n">JP</span><span class="p">]:</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Loads Python class from its name.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="n">parts</span> <span class="o">=</span> <span class="n">clazz</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">&quot;.&quot;</span><span class="p">)</span>
<span class="n">module</span> <span class="o">=</span> <span class="s2">&quot;.&quot;</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">parts</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span>
<span class="n">m</span> <span class="o">=</span> <span class="nb">__import__</span><span class="p">(</span><span class="n">module</span><span class="p">,</span> <span class="n">fromlist</span><span class="o">=</span><span class="p">[</span><span class="n">parts</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]])</span>
<span class="k">return</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">m</span><span class="p">,</span> <span class="n">parts</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span>
<span class="n">stage_name</span> <span class="o">=</span> <span class="n">java_stage</span><span class="o">.</span><span class="n">getClass</span><span class="p">()</span><span class="o">.</span><span class="n">getName</span><span class="p">()</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">&quot;org.apache.spark&quot;</span><span class="p">,</span> <span class="s2">&quot;pyspark&quot;</span><span class="p">)</span>
<span class="c1"># Generate a default new instance from the stage_name class.</span>
<span class="n">py_type</span> <span class="o">=</span> <span class="n">__get_class</span><span class="p">(</span><span class="n">stage_name</span><span class="p">)</span>
<span class="k">if</span> <span class="nb">issubclass</span><span class="p">(</span><span class="n">py_type</span><span class="p">,</span> <span class="n">JavaParams</span><span class="p">):</span>
<span class="c1"># Load information from java_stage to the instance.</span>
<span class="n">py_stage</span> <span class="o">=</span> <span class="n">py_type</span><span class="p">()</span>
<span class="n">py_stage</span><span class="o">.</span><span class="n">_java_obj</span> <span class="o">=</span> <span class="n">java_stage</span>
<span class="c1"># SPARK-10931: Temporary fix so that persisted models would own params from Estimator</span>
<span class="k">if</span> <span class="nb">issubclass</span><span class="p">(</span><span class="n">py_type</span><span class="p">,</span> <span class="n">JavaModel</span><span class="p">):</span>
<span class="n">py_stage</span><span class="o">.</span><span class="n">_create_params_from_java</span><span class="p">()</span>
<span class="n">py_stage</span><span class="o">.</span><span class="n">_resetUid</span><span class="p">(</span><span class="n">java_stage</span><span class="o">.</span><span class="n">uid</span><span class="p">())</span>
<span class="n">py_stage</span><span class="o">.</span><span class="n">_transfer_params_from_java</span><span class="p">()</span>
<span class="k">elif</span> <span class="nb">hasattr</span><span class="p">(</span><span class="n">py_type</span><span class="p">,</span> <span class="s2">&quot;_from_java&quot;</span><span class="p">):</span>
<span class="n">py_stage</span> <span class="o">=</span> <span class="n">py_type</span><span class="o">.</span><span class="n">_from_java</span><span class="p">(</span><span class="n">java_stage</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">NotImplementedError</span><span class="p">(</span>
<span class="s2">&quot;This Java stage cannot be loaded into Python currently: </span><span class="si">%r</span><span class="s2">&quot;</span> <span class="o">%</span> <span class="n">stage_name</span>
<span class="p">)</span>
<span class="k">return</span> <span class="n">py_stage</span>
<span class="k">def</span><span class="w"> </span><span class="nf">copy</span><span class="p">(</span><span class="bp">self</span><span class="p">:</span> <span class="s2">&quot;JP&quot;</span><span class="p">,</span> <span class="n">extra</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="s2">&quot;ParamMap&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="s2">&quot;JP&quot;</span><span class="p">:</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Creates a copy of this instance with the same uid and some</span>
<span class="sd"> extra params. This implementation first calls Params.copy and</span>
<span class="sd"> then make a copy of the companion Java pipeline component with</span>
<span class="sd"> extra params. So both the Python wrapper and the Java pipeline</span>
<span class="sd"> component get copied.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> extra : dict, optional</span>
<span class="sd"> Extra parameters to copy to the new instance</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> :py:class:`JavaParams`</span>
<span class="sd"> Copy of this instance</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="k">if</span> <span class="n">extra</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
<span class="n">extra</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">()</span>
<span class="n">that</span> <span class="o">=</span> <span class="nb">super</span><span class="p">(</span><span class="n">JavaParams</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">copy</span><span class="p">(</span><span class="n">extra</span><span class="p">)</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_java_obj</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">pyspark.ml.util</span><span class="w"> </span><span class="kn">import</span> <span class="n">RemoteModelRef</span>
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_java_obj</span><span class="p">,</span> <span class="n">RemoteModelRef</span><span class="p">):</span>
<span class="n">that</span><span class="o">.</span><span class="n">_java_obj</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_java_obj</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_java_obj</span><span class="o">.</span><span class="n">add_ref</span><span class="p">()</span>
<span class="k">elif</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_java_obj</span><span class="p">,</span> <span class="nb">str</span><span class="p">):</span>
<span class="n">that</span><span class="o">.</span><span class="n">_java_obj</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_java_obj</span><span class="o">.</span><span class="n">copy</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_empty_java_param_map</span><span class="p">())</span>
<span class="n">that</span><span class="o">.</span><span class="n">_transfer_params_to_java</span><span class="p">()</span>
<span class="k">return</span> <span class="n">that</span>
<span class="nd">@try_remote_intercept</span>
<span class="k">def</span><span class="w"> </span><span class="nf">clear</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">param</span><span class="p">:</span> <span class="n">Param</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="kc">None</span><span class="p">:</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Clears a param from the param map if it has been explicitly set.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="k">assert</span> <span class="bp">self</span><span class="o">.</span><span class="n">_java_obj</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span>
<span class="nb">super</span><span class="p">(</span><span class="n">JavaParams</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">clear</span><span class="p">(</span><span class="n">param</span><span class="p">)</span>
<span class="n">java_param</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_java_obj</span><span class="o">.</span><span class="n">getParam</span><span class="p">(</span><span class="n">param</span><span class="o">.</span><span class="n">name</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_java_obj</span><span class="o">.</span><span class="n">clear</span><span class="p">(</span><span class="n">java_param</span><span class="p">)</span>
<span class="nd">@inherit_doc</span>
<span class="k">class</span><span class="w"> </span><span class="nc">JavaEstimator</span><span class="p">(</span><span class="n">JavaParams</span><span class="p">,</span> <span class="n">Estimator</span><span class="p">[</span><span class="n">JM</span><span class="p">],</span> <span class="n">metaclass</span><span class="o">=</span><span class="n">ABCMeta</span><span class="p">):</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Base class for :py:class:`Estimator`s that wrap Java/Scala</span>
<span class="sd"> implementations.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="nd">@abstractmethod</span>
<span class="k">def</span><span class="w"> </span><span class="nf">_create_model</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">java_model</span><span class="p">:</span> <span class="s2">&quot;JavaObject&quot;</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">JM</span><span class="p">:</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Creates a model from the input Java model reference.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="k">raise</span> <span class="ne">NotImplementedError</span><span class="p">()</span>
<span class="k">def</span><span class="w"> </span><span class="nf">_fit_java</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataset</span><span class="p">:</span> <span class="n">DataFrame</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="s2">&quot;JavaObject&quot;</span><span class="p">:</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Fits a Java model to the input dataset.</span>
<span class="sd"> Examples</span>
<span class="sd"> --------</span>
<span class="sd"> dataset : :py:class:`pyspark.sql.DataFrame`</span>
<span class="sd"> input dataset</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> py4j.java_gateway.JavaObject</span>
<span class="sd"> fitted Java model</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="k">assert</span> <span class="bp">self</span><span class="o">.</span><span class="n">_java_obj</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_transfer_params_to_java</span><span class="p">()</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_java_obj</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">dataset</span><span class="o">.</span><span class="n">_jdf</span><span class="p">)</span>
<span class="nd">@try_remote_fit</span>
<span class="k">def</span><span class="w"> </span><span class="nf">_fit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataset</span><span class="p">:</span> <span class="n">DataFrame</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">JM</span><span class="p">:</span>
<span class="n">java_model</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_fit_java</span><span class="p">(</span><span class="n">dataset</span><span class="p">)</span>
<span class="n">model</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_create_model</span><span class="p">(</span><span class="n">java_model</span><span class="p">)</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_copyValues</span><span class="p">(</span><span class="n">model</span><span class="p">)</span>
<span class="nd">@inherit_doc</span>
<span class="k">class</span><span class="w"> </span><span class="nc">JavaTransformer</span><span class="p">(</span><span class="n">JavaParams</span><span class="p">,</span> <span class="n">Transformer</span><span class="p">,</span> <span class="n">metaclass</span><span class="o">=</span><span class="n">ABCMeta</span><span class="p">):</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Base class for :py:class:`Transformer`s that wrap Java/Scala</span>
<span class="sd"> implementations. Subclasses should ensure they have the transformer Java object</span>
<span class="sd"> available as _java_obj.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="nd">@try_remote_transform_relation</span>
<span class="k">def</span><span class="w"> </span><span class="nf">_transform</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataset</span><span class="p">:</span> <span class="n">DataFrame</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">DataFrame</span><span class="p">:</span>
<span class="k">assert</span> <span class="bp">self</span><span class="o">.</span><span class="n">_java_obj</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_transfer_params_to_java</span><span class="p">()</span>
<span class="k">return</span> <span class="n">DataFrame</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_java_obj</span><span class="o">.</span><span class="n">transform</span><span class="p">(</span><span class="n">dataset</span><span class="o">.</span><span class="n">_jdf</span><span class="p">),</span> <span class="n">dataset</span><span class="o">.</span><span class="n">sparkSession</span><span class="p">)</span>
<span class="nd">@inherit_doc</span>
<span class="k">class</span><span class="w"> </span><span class="nc">JavaModel</span><span class="p">(</span><span class="n">JavaTransformer</span><span class="p">,</span> <span class="n">Model</span><span class="p">,</span> <span class="n">metaclass</span><span class="o">=</span><span class="n">ABCMeta</span><span class="p">):</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Base class for :py:class:`Model`s that wrap Java/Scala</span>
<span class="sd"> implementations. Subclasses should inherit this class before</span>
<span class="sd"> param mix-ins, because this sets the UID from the Java model.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">java_model</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="s2">&quot;JavaObject&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">):</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Initialize this instance with a Java model object.</span>
<span class="sd"> Subclasses should call this constructor, initialize params,</span>
<span class="sd"> and then call _transfer_params_from_java.</span>
<span class="sd"> This instance can be instantiated without specifying java_model,</span>
<span class="sd"> it will be assigned after that, but this scenario only used by</span>
<span class="sd"> :py:class:`JavaMLReader` to load models. This is a bit of a</span>
<span class="sd"> hack, but it is easiest since a proper fix would require</span>
<span class="sd"> MLReader (in pyspark.ml.util) to depend on these wrappers, but</span>
<span class="sd"> these wrappers depend on pyspark.ml.util (both directly and via</span>
<span class="sd"> other ML classes).</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="nb">super</span><span class="p">(</span><span class="n">JavaModel</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">java_model</span><span class="p">)</span>
<span class="k">if</span> <span class="n">is_remote</span><span class="p">()</span> <span class="ow">and</span> <span class="n">java_model</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">pyspark.ml.util</span><span class="w"> </span><span class="kn">import</span> <span class="n">RemoteModelRef</span>
<span class="k">assert</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">java_model</span><span class="p">,</span> <span class="n">RemoteModelRef</span><span class="p">)</span>
<span class="k">if</span> <span class="n">java_model</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="ow">not</span> <span class="n">is_remote</span><span class="p">():</span>
<span class="c1"># SPARK-10931: This is a temporary fix to allow models to own params</span>
<span class="c1"># from estimators. Eventually, these params should be in models through</span>
<span class="c1"># using common base classes between estimators and models.</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_create_params_from_java</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_resetUid</span><span class="p">(</span><span class="n">java_model</span><span class="o">.</span><span class="n">uid</span><span class="p">())</span>
<span class="k">def</span><span class="w"> </span><span class="fm">__repr__</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">str</span><span class="p">:</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_call_java</span><span class="p">(</span><span class="s2">&quot;toString&quot;</span><span class="p">)</span>
<span class="nd">@inherit_doc</span>
<span class="k">class</span><span class="w"> </span><span class="nc">JavaPredictor</span><span class="p">(</span><span class="n">Predictor</span><span class="p">,</span> <span class="n">JavaEstimator</span><span class="p">[</span><span class="n">JM</span><span class="p">],</span> <span class="n">_PredictorParams</span><span class="p">,</span> <span class="n">Generic</span><span class="p">[</span><span class="n">JM</span><span class="p">],</span> <span class="n">metaclass</span><span class="o">=</span><span class="n">ABCMeta</span><span class="p">):</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> (Private) Java Estimator for prediction tasks (regression and classification).</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="k">pass</span>
<span class="nd">@inherit_doc</span>
<span class="k">class</span><span class="w"> </span><span class="nc">JavaPredictionModel</span><span class="p">(</span><span class="n">PredictionModel</span><span class="p">[</span><span class="n">T</span><span class="p">],</span> <span class="n">JavaModel</span><span class="p">,</span> <span class="n">_PredictorParams</span><span class="p">):</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> (Private) Java Model for prediction tasks (regression and classification).</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="nd">@property</span>
<span class="nd">@since</span><span class="p">(</span><span class="s2">&quot;2.1.0&quot;</span><span class="p">)</span>
<span class="k">def</span><span class="w"> </span><span class="nf">numFeatures</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">int</span><span class="p">:</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Returns the number of features the model was trained on. If unknown, returns -1</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_call_java</span><span class="p">(</span><span class="s2">&quot;numFeatures&quot;</span><span class="p">)</span>
<span class="nd">@since</span><span class="p">(</span><span class="s2">&quot;3.0.0&quot;</span><span class="p">)</span>
<span class="k">def</span><span class="w"> </span><span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">value</span><span class="p">:</span> <span class="n">T</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span><span class="p">:</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Predict label for the given features.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_call_java</span><span class="p">(</span><span class="s2">&quot;predict&quot;</span><span class="p">,</span> <span class="n">value</span><span class="p">)</span>
</pre></div>
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