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<h1>Source code for pyspark.ml.param</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">import</span> <span class="nn">array</span>
<span class="kn">from</span> <span class="nn">abc</span> <span class="kn">import</span> <span class="n">ABCMeta</span>
<span class="kn">import</span> <span class="nn">copy</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="kn">from</span> <span class="nn">py4j.java_gateway</span> <span class="kn">import</span> <span class="n">JavaObject</span>
<span class="kn">from</span> <span class="nn">pyspark.ml.linalg</span> <span class="kn">import</span> <span class="n">DenseVector</span><span class="p">,</span> <span class="n">Vector</span><span class="p">,</span> <span class="n">Matrix</span>
<span class="kn">from</span> <span class="nn">pyspark.ml.util</span> <span class="kn">import</span> <span class="n">Identifiable</span>
<span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;Param&#39;</span><span class="p">,</span> <span class="s1">&#39;Params&#39;</span><span class="p">,</span> <span class="s1">&#39;TypeConverters&#39;</span><span class="p">]</span>
<div class="viewcode-block" id="Param"><a class="viewcode-back" href="../../../reference/api/pyspark.ml.param.Param.html#pyspark.ml.Param">[docs]</a><span class="k">class</span> <span class="nc">Param</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
<span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> A param with self-contained documentation.</span>
<span class="sd"> .. versionadded:: 1.3.0</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">parent</span><span class="p">,</span> <span class="n">name</span><span class="p">,</span> <span class="n">doc</span><span class="p">,</span> <span class="n">typeConverter</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
<span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">parent</span><span class="p">,</span> <span class="n">Identifiable</span><span class="p">):</span>
<span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="s2">&quot;Parent must be an Identifiable but got type </span><span class="si">%s</span><span class="s2">.&quot;</span> <span class="o">%</span> <span class="nb">type</span><span class="p">(</span><span class="n">parent</span><span class="p">))</span>
<span class="bp">self</span><span class="o">.</span><span class="n">parent</span> <span class="o">=</span> <span class="n">parent</span><span class="o">.</span><span class="n">uid</span>
<span class="bp">self</span><span class="o">.</span><span class="n">name</span> <span class="o">=</span> <span class="nb">str</span><span class="p">(</span><span class="n">name</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">doc</span> <span class="o">=</span> <span class="nb">str</span><span class="p">(</span><span class="n">doc</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">typeConverter</span> <span class="o">=</span> <span class="n">TypeConverters</span><span class="o">.</span><span class="n">identity</span> <span class="k">if</span> <span class="n">typeConverter</span> <span class="ow">is</span> <span class="kc">None</span> <span class="k">else</span> <span class="n">typeConverter</span>
<span class="k">def</span> <span class="nf">_copy_new_parent</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">parent</span><span class="p">):</span>
<span class="sd">&quot;&quot;&quot;Copy the current param to a new parent, must be a dummy param.&quot;&quot;&quot;</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">parent</span> <span class="o">==</span> <span class="s2">&quot;undefined&quot;</span><span class="p">:</span>
<span class="n">param</span> <span class="o">=</span> <span class="n">copy</span><span class="o">.</span><span class="n">copy</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span>
<span class="n">param</span><span class="o">.</span><span class="n">parent</span> <span class="o">=</span> <span class="n">parent</span><span class="o">.</span><span class="n">uid</span>
<span class="k">return</span> <span class="n">param</span>
<span class="k">else</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">&quot;Cannot copy from non-dummy parent </span><span class="si">%s</span><span class="s2">.&quot;</span> <span class="o">%</span> <span class="n">parent</span><span class="p">)</span>
<span class="k">def</span> <span class="fm">__str__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">return</span> <span class="nb">str</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">parent</span><span class="p">)</span> <span class="o">+</span> <span class="s2">&quot;__&quot;</span> <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">name</span>
<span class="k">def</span> <span class="fm">__repr__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">return</span> <span class="s2">&quot;Param(parent=</span><span class="si">%r</span><span class="s2">, name=</span><span class="si">%r</span><span class="s2">, doc=</span><span class="si">%r</span><span class="s2">)&quot;</span> <span class="o">%</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">parent</span><span class="p">,</span> <span class="bp">self</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">doc</span><span class="p">)</span>
<span class="k">def</span> <span class="fm">__hash__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">return</span> <span class="nb">hash</span><span class="p">(</span><span class="nb">str</span><span class="p">(</span><span class="bp">self</span><span class="p">))</span>
<span class="k">def</span> <span class="fm">__eq__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">other</span><span class="p">):</span>
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">other</span><span class="p">,</span> <span class="n">Param</span><span class="p">):</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">parent</span> <span class="o">==</span> <span class="n">other</span><span class="o">.</span><span class="n">parent</span> <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">name</span> <span class="o">==</span> <span class="n">other</span><span class="o">.</span><span class="n">name</span>
<span class="k">else</span><span class="p">:</span>
<span class="k">return</span> <span class="kc">False</span></div>
<div class="viewcode-block" id="TypeConverters"><a class="viewcode-back" href="../../../reference/api/pyspark.ml.param.TypeConverters.html#pyspark.ml.TypeConverters">[docs]</a><span class="k">class</span> <span class="nc">TypeConverters</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
<span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Factory methods for common type conversion functions for `Param.typeConverter`.</span>
<span class="sd"> .. versionadded:: 2.0.0</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="nd">@staticmethod</span>
<span class="k">def</span> <span class="nf">_is_numeric</span><span class="p">(</span><span class="n">value</span><span class="p">):</span>
<span class="n">vtype</span> <span class="o">=</span> <span class="nb">type</span><span class="p">(</span><span class="n">value</span><span class="p">)</span>
<span class="k">return</span> <span class="n">vtype</span> <span class="ow">in</span> <span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">float64</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">int64</span><span class="p">]</span> <span class="ow">or</span> <span class="n">vtype</span><span class="o">.</span><span class="vm">__name__</span> <span class="o">==</span> <span class="s1">&#39;long&#39;</span>
<span class="nd">@staticmethod</span>
<span class="k">def</span> <span class="nf">_is_integer</span><span class="p">(</span><span class="n">value</span><span class="p">):</span>
<span class="k">return</span> <span class="n">TypeConverters</span><span class="o">.</span><span class="n">_is_numeric</span><span class="p">(</span><span class="n">value</span><span class="p">)</span> <span class="ow">and</span> <span class="nb">float</span><span class="p">(</span><span class="n">value</span><span class="p">)</span><span class="o">.</span><span class="n">is_integer</span><span class="p">()</span>
<span class="nd">@staticmethod</span>
<span class="k">def</span> <span class="nf">_can_convert_to_list</span><span class="p">(</span><span class="n">value</span><span class="p">):</span>
<span class="n">vtype</span> <span class="o">=</span> <span class="nb">type</span><span class="p">(</span><span class="n">value</span><span class="p">)</span>
<span class="k">return</span> <span class="n">vtype</span> <span class="ow">in</span> <span class="p">[</span><span class="nb">list</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> <span class="nb">tuple</span><span class="p">,</span> <span class="nb">range</span><span class="p">,</span> <span class="n">array</span><span class="o">.</span><span class="n">array</span><span class="p">]</span> <span class="ow">or</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">value</span><span class="p">,</span> <span class="n">Vector</span><span class="p">)</span>
<span class="nd">@staticmethod</span>
<span class="k">def</span> <span class="nf">_can_convert_to_string</span><span class="p">(</span><span class="n">value</span><span class="p">):</span>
<span class="n">vtype</span> <span class="o">=</span> <span class="nb">type</span><span class="p">(</span><span class="n">value</span><span class="p">)</span>
<span class="k">return</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">value</span><span class="p">,</span> <span class="nb">str</span><span class="p">)</span> <span class="ow">or</span> <span class="n">vtype</span> <span class="ow">in</span> <span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">unicode_</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">string_</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">str_</span><span class="p">]</span>
<div class="viewcode-block" id="TypeConverters.identity"><a class="viewcode-back" href="../../../reference/api/pyspark.ml.param.TypeConverters.html#pyspark.ml.TypeConverters.identity">[docs]</a> <span class="nd">@staticmethod</span>
<span class="k">def</span> <span class="nf">identity</span><span class="p">(</span><span class="n">value</span><span class="p">):</span>
<span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Dummy converter that just returns value.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="k">return</span> <span class="n">value</span></div>
<div class="viewcode-block" id="TypeConverters.toList"><a class="viewcode-back" href="../../../reference/api/pyspark.ml.param.TypeConverters.html#pyspark.ml.TypeConverters.toList">[docs]</a> <span class="nd">@staticmethod</span>
<span class="k">def</span> <span class="nf">toList</span><span class="p">(</span><span class="n">value</span><span class="p">):</span>
<span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Convert a value to a list, if possible.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="k">if</span> <span class="nb">type</span><span class="p">(</span><span class="n">value</span><span class="p">)</span> <span class="o">==</span> <span class="nb">list</span><span class="p">:</span>
<span class="k">return</span> <span class="n">value</span>
<span class="k">elif</span> <span class="nb">type</span><span class="p">(</span><span class="n">value</span><span class="p">)</span> <span class="ow">in</span> <span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> <span class="nb">tuple</span><span class="p">,</span> <span class="nb">range</span><span class="p">,</span> <span class="n">array</span><span class="o">.</span><span class="n">array</span><span class="p">]:</span>
<span class="k">return</span> <span class="nb">list</span><span class="p">(</span><span class="n">value</span><span class="p">)</span>
<span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">value</span><span class="p">,</span> <span class="n">Vector</span><span class="p">):</span>
<span class="k">return</span> <span class="nb">list</span><span class="p">(</span><span class="n">value</span><span class="o">.</span><span class="n">toArray</span><span class="p">())</span>
<span class="k">else</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="s2">&quot;Could not convert </span><span class="si">%s</span><span class="s2"> to list&quot;</span> <span class="o">%</span> <span class="n">value</span><span class="p">)</span></div>
<div class="viewcode-block" id="TypeConverters.toListFloat"><a class="viewcode-back" href="../../../reference/api/pyspark.ml.param.TypeConverters.html#pyspark.ml.TypeConverters.toListFloat">[docs]</a> <span class="nd">@staticmethod</span>
<span class="k">def</span> <span class="nf">toListFloat</span><span class="p">(</span><span class="n">value</span><span class="p">):</span>
<span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Convert a value to list of floats, if possible.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="k">if</span> <span class="n">TypeConverters</span><span class="o">.</span><span class="n">_can_convert_to_list</span><span class="p">(</span><span class="n">value</span><span class="p">):</span>
<span class="n">value</span> <span class="o">=</span> <span class="n">TypeConverters</span><span class="o">.</span><span class="n">toList</span><span class="p">(</span><span class="n">value</span><span class="p">)</span>
<span class="k">if</span> <span class="nb">all</span><span class="p">(</span><span class="nb">map</span><span class="p">(</span><span class="k">lambda</span> <span class="n">v</span><span class="p">:</span> <span class="n">TypeConverters</span><span class="o">.</span><span class="n">_is_numeric</span><span class="p">(</span><span class="n">v</span><span class="p">),</span> <span class="n">value</span><span class="p">)):</span>
<span class="k">return</span> <span class="p">[</span><span class="nb">float</span><span class="p">(</span><span class="n">v</span><span class="p">)</span> <span class="k">for</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">value</span><span class="p">]</span>
<span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="s2">&quot;Could not convert </span><span class="si">%s</span><span class="s2"> to list of floats&quot;</span> <span class="o">%</span> <span class="n">value</span><span class="p">)</span></div>
<div class="viewcode-block" id="TypeConverters.toListListFloat"><a class="viewcode-back" href="../../../reference/api/pyspark.ml.param.TypeConverters.html#pyspark.ml.TypeConverters.toListListFloat">[docs]</a> <span class="nd">@staticmethod</span>
<span class="k">def</span> <span class="nf">toListListFloat</span><span class="p">(</span><span class="n">value</span><span class="p">):</span>
<span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Convert a value to list of list of floats, if possible.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="k">if</span> <span class="n">TypeConverters</span><span class="o">.</span><span class="n">_can_convert_to_list</span><span class="p">(</span><span class="n">value</span><span class="p">):</span>
<span class="n">value</span> <span class="o">=</span> <span class="n">TypeConverters</span><span class="o">.</span><span class="n">toList</span><span class="p">(</span><span class="n">value</span><span class="p">)</span>
<span class="k">return</span> <span class="p">[</span><span class="n">TypeConverters</span><span class="o">.</span><span class="n">toListFloat</span><span class="p">(</span><span class="n">v</span><span class="p">)</span> <span class="k">for</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">value</span><span class="p">]</span>
<span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="s2">&quot;Could not convert </span><span class="si">%s</span><span class="s2"> to list of list of floats&quot;</span> <span class="o">%</span> <span class="n">value</span><span class="p">)</span></div>
<div class="viewcode-block" id="TypeConverters.toListInt"><a class="viewcode-back" href="../../../reference/api/pyspark.ml.param.TypeConverters.html#pyspark.ml.TypeConverters.toListInt">[docs]</a> <span class="nd">@staticmethod</span>
<span class="k">def</span> <span class="nf">toListInt</span><span class="p">(</span><span class="n">value</span><span class="p">):</span>
<span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Convert a value to list of ints, if possible.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="k">if</span> <span class="n">TypeConverters</span><span class="o">.</span><span class="n">_can_convert_to_list</span><span class="p">(</span><span class="n">value</span><span class="p">):</span>
<span class="n">value</span> <span class="o">=</span> <span class="n">TypeConverters</span><span class="o">.</span><span class="n">toList</span><span class="p">(</span><span class="n">value</span><span class="p">)</span>
<span class="k">if</span> <span class="nb">all</span><span class="p">(</span><span class="nb">map</span><span class="p">(</span><span class="k">lambda</span> <span class="n">v</span><span class="p">:</span> <span class="n">TypeConverters</span><span class="o">.</span><span class="n">_is_integer</span><span class="p">(</span><span class="n">v</span><span class="p">),</span> <span class="n">value</span><span class="p">)):</span>
<span class="k">return</span> <span class="p">[</span><span class="nb">int</span><span class="p">(</span><span class="n">v</span><span class="p">)</span> <span class="k">for</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">value</span><span class="p">]</span>
<span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="s2">&quot;Could not convert </span><span class="si">%s</span><span class="s2"> to list of ints&quot;</span> <span class="o">%</span> <span class="n">value</span><span class="p">)</span></div>
<div class="viewcode-block" id="TypeConverters.toListString"><a class="viewcode-back" href="../../../reference/api/pyspark.ml.param.TypeConverters.html#pyspark.ml.TypeConverters.toListString">[docs]</a> <span class="nd">@staticmethod</span>
<span class="k">def</span> <span class="nf">toListString</span><span class="p">(</span><span class="n">value</span><span class="p">):</span>
<span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Convert a value to list of strings, if possible.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="k">if</span> <span class="n">TypeConverters</span><span class="o">.</span><span class="n">_can_convert_to_list</span><span class="p">(</span><span class="n">value</span><span class="p">):</span>
<span class="n">value</span> <span class="o">=</span> <span class="n">TypeConverters</span><span class="o">.</span><span class="n">toList</span><span class="p">(</span><span class="n">value</span><span class="p">)</span>
<span class="k">if</span> <span class="nb">all</span><span class="p">(</span><span class="nb">map</span><span class="p">(</span><span class="k">lambda</span> <span class="n">v</span><span class="p">:</span> <span class="n">TypeConverters</span><span class="o">.</span><span class="n">_can_convert_to_string</span><span class="p">(</span><span class="n">v</span><span class="p">),</span> <span class="n">value</span><span class="p">)):</span>
<span class="k">return</span> <span class="p">[</span><span class="n">TypeConverters</span><span class="o">.</span><span class="n">toString</span><span class="p">(</span><span class="n">v</span><span class="p">)</span> <span class="k">for</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">value</span><span class="p">]</span>
<span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="s2">&quot;Could not convert </span><span class="si">%s</span><span class="s2"> to list of strings&quot;</span> <span class="o">%</span> <span class="n">value</span><span class="p">)</span></div>
<div class="viewcode-block" id="TypeConverters.toVector"><a class="viewcode-back" href="../../../reference/api/pyspark.ml.param.TypeConverters.html#pyspark.ml.TypeConverters.toVector">[docs]</a> <span class="nd">@staticmethod</span>
<span class="k">def</span> <span class="nf">toVector</span><span class="p">(</span><span class="n">value</span><span class="p">):</span>
<span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Convert a value to a MLlib Vector, if possible.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">value</span><span class="p">,</span> <span class="n">Vector</span><span class="p">):</span>
<span class="k">return</span> <span class="n">value</span>
<span class="k">elif</span> <span class="n">TypeConverters</span><span class="o">.</span><span class="n">_can_convert_to_list</span><span class="p">(</span><span class="n">value</span><span class="p">):</span>
<span class="n">value</span> <span class="o">=</span> <span class="n">TypeConverters</span><span class="o">.</span><span class="n">toList</span><span class="p">(</span><span class="n">value</span><span class="p">)</span>
<span class="k">if</span> <span class="nb">all</span><span class="p">(</span><span class="nb">map</span><span class="p">(</span><span class="k">lambda</span> <span class="n">v</span><span class="p">:</span> <span class="n">TypeConverters</span><span class="o">.</span><span class="n">_is_numeric</span><span class="p">(</span><span class="n">v</span><span class="p">),</span> <span class="n">value</span><span class="p">)):</span>
<span class="k">return</span> <span class="n">DenseVector</span><span class="p">(</span><span class="n">value</span><span class="p">)</span>
<span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="s2">&quot;Could not convert </span><span class="si">%s</span><span class="s2"> to vector&quot;</span> <span class="o">%</span> <span class="n">value</span><span class="p">)</span></div>
<div class="viewcode-block" id="TypeConverters.toMatrix"><a class="viewcode-back" href="../../../reference/api/pyspark.ml.param.TypeConverters.html#pyspark.ml.TypeConverters.toMatrix">[docs]</a> <span class="nd">@staticmethod</span>
<span class="k">def</span> <span class="nf">toMatrix</span><span class="p">(</span><span class="n">value</span><span class="p">):</span>
<span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Convert a value to a MLlib Matrix, if possible.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">value</span><span class="p">,</span> <span class="n">Matrix</span><span class="p">):</span>
<span class="k">return</span> <span class="n">value</span>
<span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="s2">&quot;Could not convert </span><span class="si">%s</span><span class="s2"> to matrix&quot;</span> <span class="o">%</span> <span class="n">value</span><span class="p">)</span></div>
<div class="viewcode-block" id="TypeConverters.toFloat"><a class="viewcode-back" href="../../../reference/api/pyspark.ml.param.TypeConverters.html#pyspark.ml.TypeConverters.toFloat">[docs]</a> <span class="nd">@staticmethod</span>
<span class="k">def</span> <span class="nf">toFloat</span><span class="p">(</span><span class="n">value</span><span class="p">):</span>
<span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Convert a value to a float, if possible.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="k">if</span> <span class="n">TypeConverters</span><span class="o">.</span><span class="n">_is_numeric</span><span class="p">(</span><span class="n">value</span><span class="p">):</span>
<span class="k">return</span> <span class="nb">float</span><span class="p">(</span><span class="n">value</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="s2">&quot;Could not convert </span><span class="si">%s</span><span class="s2"> to float&quot;</span> <span class="o">%</span> <span class="n">value</span><span class="p">)</span></div>
<div class="viewcode-block" id="TypeConverters.toInt"><a class="viewcode-back" href="../../../reference/api/pyspark.ml.param.TypeConverters.html#pyspark.ml.TypeConverters.toInt">[docs]</a> <span class="nd">@staticmethod</span>
<span class="k">def</span> <span class="nf">toInt</span><span class="p">(</span><span class="n">value</span><span class="p">):</span>
<span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Convert a value to an int, if possible.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="k">if</span> <span class="n">TypeConverters</span><span class="o">.</span><span class="n">_is_integer</span><span class="p">(</span><span class="n">value</span><span class="p">):</span>
<span class="k">return</span> <span class="nb">int</span><span class="p">(</span><span class="n">value</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="s2">&quot;Could not convert </span><span class="si">%s</span><span class="s2"> to int&quot;</span> <span class="o">%</span> <span class="n">value</span><span class="p">)</span></div>
<div class="viewcode-block" id="TypeConverters.toString"><a class="viewcode-back" href="../../../reference/api/pyspark.ml.param.TypeConverters.html#pyspark.ml.TypeConverters.toString">[docs]</a> <span class="nd">@staticmethod</span>
<span class="k">def</span> <span class="nf">toString</span><span class="p">(</span><span class="n">value</span><span class="p">):</span>
<span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Convert a value to a string, if possible.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">value</span><span class="p">,</span> <span class="nb">str</span><span class="p">):</span>
<span class="k">return</span> <span class="n">value</span>
<span class="k">elif</span> <span class="nb">type</span><span class="p">(</span><span class="n">value</span><span class="p">)</span> <span class="ow">in</span> <span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">string_</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">str_</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">unicode_</span><span class="p">]:</span>
<span class="k">return</span> <span class="nb">str</span><span class="p">(</span><span class="n">value</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="s2">&quot;Could not convert </span><span class="si">%s</span><span class="s2"> to string type&quot;</span> <span class="o">%</span> <span class="nb">type</span><span class="p">(</span><span class="n">value</span><span class="p">))</span></div>
<div class="viewcode-block" id="TypeConverters.toBoolean"><a class="viewcode-back" href="../../../reference/api/pyspark.ml.param.TypeConverters.html#pyspark.ml.TypeConverters.toBoolean">[docs]</a> <span class="nd">@staticmethod</span>
<span class="k">def</span> <span class="nf">toBoolean</span><span class="p">(</span><span class="n">value</span><span class="p">):</span>
<span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Convert a value to a boolean, if possible.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="k">if</span> <span class="nb">type</span><span class="p">(</span><span class="n">value</span><span class="p">)</span> <span class="o">==</span> <span class="nb">bool</span><span class="p">:</span>
<span class="k">return</span> <span class="n">value</span>
<span class="k">else</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="s2">&quot;Boolean Param requires value of type bool. Found </span><span class="si">%s</span><span class="s2">.&quot;</span> <span class="o">%</span> <span class="nb">type</span><span class="p">(</span><span class="n">value</span><span class="p">))</span></div></div>
<div class="viewcode-block" id="Params"><a class="viewcode-back" href="../../../reference/api/pyspark.ml.param.Params.html#pyspark.ml.Params">[docs]</a><span class="k">class</span> <span class="nc">Params</span><span class="p">(</span><span class="n">Identifiable</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="sd">&quot;&quot;&quot;</span>
<span class="sd"> Components that take parameters. This also provides an internal</span>
<span class="sd"> param map to store parameter values attached to the instance.</span>
<span class="sd"> .. versionadded:: 1.3.0</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="nb">super</span><span class="p">(</span><span class="n">Params</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="c1">#: internal param map for user-supplied values param map</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_paramMap</span> <span class="o">=</span> <span class="p">{}</span>
<span class="c1">#: internal param map for default values</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_defaultParamMap</span> <span class="o">=</span> <span class="p">{}</span>
<span class="c1">#: value returned by :py:func:`params`</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"># Copy the params from the class to the object</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_copy_params</span><span class="p">()</span>
<span class="k">def</span> <span class="nf">_copy_params</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Copy all params defined on the class to current object.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="bp">cls</span> <span class="o">=</span> <span class="nb">type</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span>
<span class="n">src_name_attrs</span> <span class="o">=</span> <span class="p">[(</span><span class="n">x</span><span class="p">,</span> <span class="nb">getattr</span><span class="p">(</span><span class="bp">cls</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">dir</span><span class="p">(</span><span class="bp">cls</span><span class="p">)]</span>
<span class="n">src_params</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="nb">filter</span><span class="p">(</span><span class="k">lambda</span> <span class="n">nameAttr</span><span class="p">:</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">nameAttr</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">Param</span><span class="p">),</span> <span class="n">src_name_attrs</span><span class="p">))</span>
<span class="k">for</span> <span class="n">name</span><span class="p">,</span> <span class="n">param</span> <span class="ow">in</span> <span class="n">src_params</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">name</span><span class="p">,</span> <span class="n">param</span><span class="o">.</span><span class="n">_copy_new_parent</span><span class="p">(</span><span class="bp">self</span><span class="p">))</span>
<span class="nd">@property</span>
<span class="k">def</span> <span class="nf">params</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Returns all params ordered by name. The default implementation</span>
<span class="sd"> uses :py:func:`dir` to get all attributes of type</span>
<span class="sd"> :py:class:`Param`.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_params</span> <span class="ow">is</span> <span class="kc">None</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="nb">list</span><span class="p">(</span><span class="nb">filter</span><span class="p">(</span><span class="k">lambda</span> <span class="n">attr</span><span class="p">:</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">attr</span><span class="p">,</span> <span class="n">Param</span><span class="p">),</span>
<span class="p">[</span><span class="nb">getattr</span><span class="p">(</span><span class="bp">self</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">dir</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="k">if</span> <span class="n">x</span> <span class="o">!=</span> <span class="s2">&quot;params&quot;</span> <span class="ow">and</span>
<span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="nb">getattr</span><span class="p">(</span><span class="nb">type</span><span class="p">(</span><span class="bp">self</span><span class="p">),</span> <span class="n">x</span><span class="p">,</span> <span class="kc">None</span><span class="p">),</span> <span class="nb">property</span><span class="p">)]))</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_params</span>
<div class="viewcode-block" id="Params.explainParam"><a class="viewcode-back" href="../../../reference/api/pyspark.ml.param.Params.html#pyspark.ml.Params.explainParam">[docs]</a> <span class="k">def</span> <span class="nf">explainParam</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="sd">&quot;&quot;&quot;</span>
<span class="sd"> Explains a single param and returns its name, doc, and optional</span>
<span class="sd"> default value and user-supplied value in a string.</span>
<span class="sd"> &quot;&quot;&quot;</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">values</span> <span class="o">=</span> <span class="p">[]</span>
<span class="k">if</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="k">if</span> <span class="n">param</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_defaultParamMap</span><span class="p">:</span>
<span class="n">values</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="s2">&quot;default: </span><span class="si">%s</span><span class="s2">&quot;</span> <span class="o">%</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="k">if</span> <span class="n">param</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_paramMap</span><span class="p">:</span>
<span class="n">values</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="s2">&quot;current: </span><span class="si">%s</span><span class="s2">&quot;</span> <span class="o">%</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="k">else</span><span class="p">:</span>
<span class="n">values</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="s2">&quot;undefined&quot;</span><span class="p">)</span>
<span class="n">valueStr</span> <span class="o">=</span> <span class="s2">&quot;(&quot;</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">values</span><span class="p">)</span> <span class="o">+</span> <span class="s2">&quot;)&quot;</span>
<span class="k">return</span> <span class="s2">&quot;</span><span class="si">%s</span><span class="s2">: </span><span class="si">%s</span><span class="s2"> </span><span class="si">%s</span><span class="s2">&quot;</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">param</span><span class="o">.</span><span class="n">doc</span><span class="p">,</span> <span class="n">valueStr</span><span class="p">)</span></div>
<div class="viewcode-block" id="Params.explainParams"><a class="viewcode-back" href="../../../reference/api/pyspark.ml.param.Params.html#pyspark.ml.Params.explainParams">[docs]</a> <span class="k">def</span> <span class="nf">explainParams</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Returns the documentation of all params with their optionally</span>
<span class="sd"> default values and user-supplied values.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="k">return</span> <span class="s2">&quot;</span><span class="se">\n</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">join</span><span class="p">([</span><span class="bp">self</span><span class="o">.</span><span class="n">explainParam</span><span class="p">(</span><span class="n">param</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></div>
<div class="viewcode-block" id="Params.getParam"><a class="viewcode-back" href="../../../reference/api/pyspark.ml.param.Params.html#pyspark.ml.Params.getParam">[docs]</a> <span class="k">def</span> <span class="nf">getParam</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">paramName</span><span class="p">):</span>
<span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Gets a param by its name.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="n">param</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">paramName</span><span class="p">)</span>
<span class="k">if</span> <span class="nb">isinstance</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="k">return</span> <span class="n">param</span>
<span class="k">else</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">&quot;Cannot find param with name </span><span class="si">%s</span><span class="s2">.&quot;</span> <span class="o">%</span> <span class="n">paramName</span><span class="p">)</span></div>
<div class="viewcode-block" id="Params.isSet"><a class="viewcode-back" href="../../../reference/api/pyspark.ml.param.Params.html#pyspark.ml.Params.isSet">[docs]</a> <span class="k">def</span> <span class="nf">isSet</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="sd">&quot;&quot;&quot;</span>
<span class="sd"> Checks whether a param is explicitly set by user.</span>
<span class="sd"> &quot;&quot;&quot;</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="k">return</span> <span class="n">param</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_paramMap</span></div>
<div class="viewcode-block" id="Params.hasDefault"><a class="viewcode-back" href="../../../reference/api/pyspark.ml.param.Params.html#pyspark.ml.Params.hasDefault">[docs]</a> <span class="k">def</span> <span class="nf">hasDefault</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="sd">&quot;&quot;&quot;</span>
<span class="sd"> Checks whether a param has a default value.</span>
<span class="sd"> &quot;&quot;&quot;</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="k">return</span> <span class="n">param</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_defaultParamMap</span></div>
<div class="viewcode-block" id="Params.isDefined"><a class="viewcode-back" href="../../../reference/api/pyspark.ml.param.Params.html#pyspark.ml.Params.isDefined">[docs]</a> <span class="k">def</span> <span class="nf">isDefined</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="sd">&quot;&quot;&quot;</span>
<span class="sd"> Checks whether a param is explicitly set by user or has</span>
<span class="sd"> a default value.</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">isSet</span><span class="p">(</span><span class="n">param</span><span class="p">)</span> <span class="ow">or</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></div>
<div class="viewcode-block" id="Params.hasParam"><a class="viewcode-back" href="../../../reference/api/pyspark.ml.param.Params.html#pyspark.ml.Params.hasParam">[docs]</a> <span class="k">def</span> <span class="nf">hasParam</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">paramName</span><span class="p">):</span>
<span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Tests whether this instance contains a param with a given</span>
<span class="sd"> (string) name.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">paramName</span><span class="p">,</span> <span class="nb">str</span><span class="p">):</span>
<span class="n">p</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">paramName</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
<span class="k">return</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">p</span><span class="p">,</span> <span class="n">Param</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="s2">&quot;hasParam(): paramName must be a string&quot;</span><span class="p">)</span></div>
<div class="viewcode-block" id="Params.getOrDefault"><a class="viewcode-back" href="../../../reference/api/pyspark.ml.param.Params.html#pyspark.ml.Params.getOrDefault">[docs]</a> <span class="k">def</span> <span class="nf">getOrDefault</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="sd">&quot;&quot;&quot;</span>
<span class="sd"> Gets the value of a param in the user-supplied param map or its</span>
<span class="sd"> default value. Raises an error if neither is set.</span>
<span class="sd"> &quot;&quot;&quot;</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="k">if</span> <span class="n">param</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_paramMap</span><span class="p">:</span>
<span class="k">return</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="k">else</span><span class="p">:</span>
<span class="k">return</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></div>
<div class="viewcode-block" id="Params.extractParamMap"><a class="viewcode-back" href="../../../reference/api/pyspark.ml.param.Params.html#pyspark.ml.Params.extractParamMap">[docs]</a> <span class="k">def</span> <span class="nf">extractParamMap</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">extra</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
<span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Extracts the embedded default param values and user-supplied</span>
<span class="sd"> values, and then merges them with extra values from input into</span>
<span class="sd"> a flat param map, where the latter value is used if there exist</span>
<span class="sd"> conflicts, i.e., with ordering: default param values &lt;</span>
<span class="sd"> user-supplied values &lt; extra.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> extra : dict, optional</span>
<span class="sd"> extra param values</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> dict</span>
<span class="sd"> merged param map</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">paramMap</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_defaultParamMap</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
<span class="n">paramMap</span><span class="o">.</span><span class="n">update</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">paramMap</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">extra</span><span class="p">)</span>
<span class="k">return</span> <span class="n">paramMap</span></div>
<div class="viewcode-block" id="Params.copy"><a class="viewcode-back" href="../../../reference/api/pyspark.ml.param.Params.html#pyspark.ml.Params.copy">[docs]</a> <span class="k">def</span> <span class="nf">copy</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">extra</span><span class="o">=</span><span class="kc">None</span><span class="p">):</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. The default implementation creates a</span>
<span class="sd"> shallow copy using :py:func:`copy.copy`, and then copies the</span>
<span class="sd"> embedded and extra parameters over and returns the copy.</span>
<span class="sd"> Subclasses should override this method if the default approach</span>
<span class="sd"> is not sufficient.</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:`Params`</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="n">copy</span><span class="o">.</span><span class="n">copy</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span>
<span class="n">that</span><span class="o">.</span><span class="n">_paramMap</span> <span class="o">=</span> <span class="p">{}</span>
<span class="n">that</span><span class="o">.</span><span class="n">_defaultParamMap</span> <span class="o">=</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">that</span><span class="p">,</span> <span class="n">extra</span><span class="p">)</span></div>
<div class="viewcode-block" id="Params.set"><a class="viewcode-back" href="../../../reference/api/pyspark.ml.param.Params.html#pyspark.ml.Params.set">[docs]</a> <span class="k">def</span> <span class="nf">set</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">value</span><span class="p">):</span>
<span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Sets a parameter in the embedded param map.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_shouldOwn</span><span class="p">(</span><span class="n">param</span><span class="p">)</span>
<span class="k">try</span><span class="p">:</span>
<span class="n">value</span> <span class="o">=</span> <span class="n">param</span><span class="o">.</span><span class="n">typeConverter</span><span class="p">(</span><span class="n">value</span><span class="p">)</span>
<span class="k">except</span> <span class="ne">ValueError</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s1">&#39;Invalid param value given for param &quot;</span><span class="si">%s</span><span class="s1">&quot;. </span><span class="si">%s</span><span class="s1">&#39;</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">e</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="o">=</span> <span class="n">value</span></div>
<span class="k">def</span> <span class="nf">_shouldOwn</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="sd">&quot;&quot;&quot;</span>
<span class="sd"> Validates that the input param belongs to this Params instance.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="k">if</span> <span class="ow">not</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">uid</span> <span class="o">==</span> <span class="n">param</span><span class="o">.</span><span class="n">parent</span> <span class="ow">and</span> <span class="bp">self</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="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">&quot;Param </span><span class="si">%r</span><span class="s2"> does not belong to </span><span class="si">%r</span><span class="s2">.&quot;</span> <span class="o">%</span> <span class="p">(</span><span class="n">param</span><span class="p">,</span> <span class="bp">self</span><span class="p">))</span>
<span class="k">def</span> <span class="nf">_resolveParam</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="sd">&quot;&quot;&quot;</span>
<span class="sd"> Resolves a param and validates the ownership.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> param : str or :py:class:`Param`</span>
<span class="sd"> param name or the param instance, which must</span>
<span class="sd"> belong to this Params instance</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> :py:class:`Param`</span>
<span class="sd"> resolved param instance</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="k">if</span> <span class="nb">isinstance</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="bp">self</span><span class="o">.</span><span class="n">_shouldOwn</span><span class="p">(</span><span class="n">param</span><span class="p">)</span>
<span class="k">return</span> <span class="n">param</span>
<span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">param</span><span class="p">,</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">getParam</span><span class="p">(</span><span class="n">param</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="s2">&quot;Cannot resolve </span><span class="si">%r</span><span class="s2"> as a param.&quot;</span> <span class="o">%</span> <span class="n">param</span><span class="p">)</span>
<span class="k">def</span> <span class="nf">_testOwnParam</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">param_parent</span><span class="p">,</span> <span class="n">param_name</span><span class="p">):</span>
<span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Test the ownership. Return True or False</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">uid</span> <span class="o">==</span> <span class="n">param_parent</span> <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">hasParam</span><span class="p">(</span><span class="n">param_name</span><span class="p">)</span>
<span class="nd">@staticmethod</span>
<span class="k">def</span> <span class="nf">_dummy</span><span class="p">():</span>
<span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Returns a dummy Params instance used as a placeholder to</span>
<span class="sd"> generate docs.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="n">dummy</span> <span class="o">=</span> <span class="n">Params</span><span class="p">()</span>
<span class="n">dummy</span><span class="o">.</span><span class="n">uid</span> <span class="o">=</span> <span class="s2">&quot;undefined&quot;</span>
<span class="k">return</span> <span class="n">dummy</span>
<span class="k">def</span> <span class="nf">_set</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
<span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Sets user-supplied params.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="k">for</span> <span class="n">param</span><span class="p">,</span> <span class="n">value</span> <span class="ow">in</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
<span class="n">p</span> <span class="o">=</span> <span class="nb">getattr</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="k">if</span> <span class="n">value</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="k">try</span><span class="p">:</span>
<span class="n">value</span> <span class="o">=</span> <span class="n">p</span><span class="o">.</span><span class="n">typeConverter</span><span class="p">(</span><span class="n">value</span><span class="p">)</span>
<span class="k">except</span> <span class="ne">TypeError</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="s1">&#39;Invalid param value given for param &quot;</span><span class="si">%s</span><span class="s1">&quot;. </span><span class="si">%s</span><span class="s1">&#39;</span> <span class="o">%</span> <span class="p">(</span><span class="n">p</span><span class="o">.</span><span class="n">name</span><span class="p">,</span> <span class="n">e</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">p</span><span class="p">]</span> <span class="o">=</span> <span class="n">value</span>
<span class="k">return</span> <span class="bp">self</span>
<div class="viewcode-block" id="Params.clear"><a class="viewcode-back" href="../../../reference/api/pyspark.ml.param.Params.html#pyspark.ml.Params.clear">[docs]</a> <span class="k">def</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="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">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="k">del</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></div>
<span class="k">def</span> <span class="nf">_setDefault</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
<span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Sets default params.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="k">for</span> <span class="n">param</span><span class="p">,</span> <span class="n">value</span> <span class="ow">in</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
<span class="n">p</span> <span class="o">=</span> <span class="nb">getattr</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="k">if</span> <span class="n">value</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="nb">isinstance</span><span class="p">(</span><span class="n">value</span><span class="p">,</span> <span class="n">JavaObject</span><span class="p">):</span>
<span class="k">try</span><span class="p">:</span>
<span class="n">value</span> <span class="o">=</span> <span class="n">p</span><span class="o">.</span><span class="n">typeConverter</span><span class="p">(</span><span class="n">value</span><span class="p">)</span>
<span class="k">except</span> <span class="ne">TypeError</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="s1">&#39;Invalid default param value given for param &quot;</span><span class="si">%s</span><span class="s1">&quot;. </span><span class="si">%s</span><span class="s1">&#39;</span>
<span class="o">%</span> <span class="p">(</span><span class="n">p</span><span class="o">.</span><span class="n">name</span><span class="p">,</span> <span class="n">e</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">p</span><span class="p">]</span> <span class="o">=</span> <span class="n">value</span>
<span class="k">return</span> <span class="bp">self</span>
<span class="k">def</span> <span class="nf">_copyValues</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">to</span><span class="p">,</span> <span class="n">extra</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
<span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Copies param values from this instance to another instance for</span>
<span class="sd"> params shared by them.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> to : :py:class:`Params`</span>
<span class="sd"> the target instance</span>
<span class="sd"> extra : dict, optional</span>
<span class="sd"> extra params to be copied</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> :py:class:`Params`</span>
<span class="sd"> the target instance with param values copied</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="n">paramMap</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_paramMap</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">extra</span><span class="p">,</span> <span class="nb">dict</span><span class="p">):</span>
<span class="k">for</span> <span class="n">param</span><span class="p">,</span> <span class="n">value</span> <span class="ow">in</span> <span class="n">extra</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
<span class="k">if</span> <span class="nb">isinstance</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">paramMap</span><span class="p">[</span><span class="n">param</span><span class="p">]</span> <span class="o">=</span> <span class="n">value</span>
<span class="k">else</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="s2">&quot;Expecting a valid instance of Param, but received: </span><span class="si">{}</span><span class="s2">&quot;</span>
<span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">param</span><span class="p">))</span>
<span class="k">elif</span> <span class="n">extra</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="s2">&quot;Expecting a dict, but received an object of type </span><span class="si">{}</span><span class="s2">.&quot;</span>
<span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="nb">type</span><span class="p">(</span><span class="n">extra</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="c1"># copy default params</span>
<span class="k">if</span> <span class="n">param</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_defaultParamMap</span> <span class="ow">and</span> <span class="n">to</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">to</span><span class="o">.</span><span class="n">_defaultParamMap</span><span class="p">[</span><span class="n">to</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="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="c1"># copy explicitly set params</span>
<span class="k">if</span> <span class="n">param</span> <span class="ow">in</span> <span class="n">paramMap</span> <span class="ow">and</span> <span class="n">to</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">to</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">paramMap</span><span class="p">[</span><span class="n">param</span><span class="p">]})</span>
<span class="k">return</span> <span class="n">to</span>
<span class="k">def</span> <span class="nf">_resetUid</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">newUid</span><span class="p">):</span>
<span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Changes the uid of this instance. This updates both</span>
<span class="sd"> the stored uid and the parent uid of params and param maps.</span>
<span class="sd"> This is used by persistence (loading).</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> newUid</span>
<span class="sd"> new uid to use, which is converted to unicode</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> :py:class:`Params`</span>
<span class="sd"> same instance, but with the uid and Param.parent values</span>
<span class="sd"> updated, including within param maps</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="n">newUid</span> <span class="o">=</span> <span class="nb">str</span><span class="p">(</span><span class="n">newUid</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">uid</span> <span class="o">=</span> <span class="n">newUid</span>
<span class="n">newDefaultParamMap</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">()</span>
<span class="n">newParamMap</span> <span class="o">=</span> <span class="nb">dict</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="n">newParam</span> <span class="o">=</span> <span class="n">copy</span><span class="o">.</span><span class="n">copy</span><span class="p">(</span><span class="n">param</span><span class="p">)</span>
<span class="n">newParam</span><span class="o">.</span><span class="n">parent</span> <span class="o">=</span> <span class="n">newUid</span>
<span class="k">if</span> <span class="n">param</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_defaultParamMap</span><span class="p">:</span>
<span class="n">newDefaultParamMap</span><span class="p">[</span><span class="n">newParam</span><span class="p">]</span> <span class="o">=</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="k">if</span> <span class="n">param</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_paramMap</span><span class="p">:</span>
<span class="n">newParamMap</span><span class="p">[</span><span class="n">newParam</span><span class="p">]</span> <span class="o">=</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="n">param</span><span class="o">.</span><span class="n">parent</span> <span class="o">=</span> <span class="n">newUid</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_defaultParamMap</span> <span class="o">=</span> <span class="n">newDefaultParamMap</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_paramMap</span> <span class="o">=</span> <span class="n">newParamMap</span>
<span class="k">return</span> <span class="bp">self</span></div>
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