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| <h1>Source code for pyspark.ml.pipeline</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 "License"); 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 "AS IS" 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">os</span> |
| |
| <span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Any</span><span class="p">,</span> <span class="n">Dict</span><span class="p">,</span> <span class="n">List</span><span class="p">,</span> <span class="n">Optional</span><span class="p">,</span> <span class="n">Tuple</span><span class="p">,</span> <span class="n">Type</span><span class="p">,</span> <span class="n">Union</span><span class="p">,</span> <span class="n">cast</span><span class="p">,</span> <span class="n">TYPE_CHECKING</span> |
| |
| <span class="kn">from</span> <span class="nn">pyspark</span> <span class="kn">import</span> <span class="n">keyword_only</span><span class="p">,</span> <span class="n">since</span><span class="p">,</span> <span class="n">SparkContext</span> |
| <span class="kn">from</span> <span class="nn">pyspark.ml.base</span> <span class="kn">import</span> <span class="n">Estimator</span><span class="p">,</span> <span class="n">Model</span><span class="p">,</span> <span class="n">Transformer</span> |
| <span class="kn">from</span> <span class="nn">pyspark.ml.param</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="nn">pyspark.ml.util</span> <span class="kn">import</span> <span class="p">(</span> |
| <span class="n">MLReadable</span><span class="p">,</span> |
| <span class="n">MLWritable</span><span class="p">,</span> |
| <span class="n">JavaMLWriter</span><span class="p">,</span> |
| <span class="n">JavaMLReader</span><span class="p">,</span> |
| <span class="n">DefaultParamsReader</span><span class="p">,</span> |
| <span class="n">DefaultParamsWriter</span><span class="p">,</span> |
| <span class="n">MLWriter</span><span class="p">,</span> |
| <span class="n">MLReader</span><span class="p">,</span> |
| <span class="n">JavaMLReadable</span><span class="p">,</span> |
| <span class="n">JavaMLWritable</span><span class="p">,</span> |
| <span class="p">)</span> |
| <span class="kn">from</span> <span class="nn">pyspark.ml.wrapper</span> <span class="kn">import</span> <span class="n">JavaParams</span> |
| <span class="kn">from</span> <span class="nn">pyspark.ml.common</span> <span class="kn">import</span> <span class="n">inherit_doc</span> |
| <span class="kn">from</span> <span class="nn">pyspark.sql.dataframe</span> <span class="kn">import</span> <span class="n">DataFrame</span> |
| |
| <span class="k">if</span> <span class="n">TYPE_CHECKING</span><span class="p">:</span> |
| <span class="kn">from</span> <span class="nn">pyspark.ml._typing</span> <span class="kn">import</span> <span class="n">ParamMap</span><span class="p">,</span> <span class="n">PipelineStage</span> |
| <span class="kn">from</span> <span class="nn">py4j.java_gateway</span> <span class="kn">import</span> <span class="n">JavaObject</span> |
| |
| |
| <div class="viewcode-block" id="Pipeline"><a class="viewcode-back" href="../../../reference/api/pyspark.ml.Pipeline.html#pyspark.ml.Pipeline">[docs]</a><span class="nd">@inherit_doc</span> |
| <span class="k">class</span> <span class="nc">Pipeline</span><span class="p">(</span><span class="n">Estimator</span><span class="p">[</span><span class="s2">"PipelineModel"</span><span class="p">],</span> <span class="n">MLReadable</span><span class="p">[</span><span class="s2">"Pipeline"</span><span class="p">],</span> <span class="n">MLWritable</span><span class="p">):</span> |
| <span class="w"> </span><span class="sd">"""</span> |
| <span class="sd"> A simple pipeline, which acts as an estimator. A Pipeline consists</span> |
| <span class="sd"> of a sequence of stages, each of which is either an</span> |
| <span class="sd"> :py:class:`Estimator` or a :py:class:`Transformer`. When</span> |
| <span class="sd"> :py:meth:`Pipeline.fit` is called, the stages are executed in</span> |
| <span class="sd"> order. If a stage is an :py:class:`Estimator`, its</span> |
| <span class="sd"> :py:meth:`Estimator.fit` method will be called on the input</span> |
| <span class="sd"> dataset to fit a model. Then the model, which is a transformer,</span> |
| <span class="sd"> will be used to transform the dataset as the input to the next</span> |
| <span class="sd"> stage. If a stage is a :py:class:`Transformer`, its</span> |
| <span class="sd"> :py:meth:`Transformer.transform` method will be called to produce</span> |
| <span class="sd"> the dataset for the next stage. The fitted model from a</span> |
| <span class="sd"> :py:class:`Pipeline` is a :py:class:`PipelineModel`, which</span> |
| <span class="sd"> consists of fitted models and transformers, corresponding to the</span> |
| <span class="sd"> pipeline stages. If stages is an empty list, the pipeline acts as an</span> |
| <span class="sd"> identity transformer.</span> |
| |
| <span class="sd"> .. versionadded:: 1.3.0</span> |
| <span class="sd"> """</span> |
| |
| <span class="n">stages</span><span class="p">:</span> <span class="n">Param</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="s2">"PipelineStage"</span><span class="p">]]</span> <span class="o">=</span> <span class="n">Param</span><span class="p">(</span> |
| <span class="n">Params</span><span class="o">.</span><span class="n">_dummy</span><span class="p">(),</span> <span class="s2">"stages"</span><span class="p">,</span> <span class="s2">"a list of pipeline stages"</span> |
| <span class="p">)</span> |
| |
| <span class="n">_input_kwargs</span><span class="p">:</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Any</span><span class="p">]</span> |
| |
| <span class="nd">@keyword_only</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="o">*</span><span class="p">,</span> <span class="n">stages</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="s2">"PipelineStage"</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">"""</span> |
| <span class="sd"> __init__(self, \\*, stages=None)</span> |
| <span class="sd"> """</span> |
| <span class="nb">super</span><span class="p">(</span><span class="n">Pipeline</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">kwargs</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_input_kwargs</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">setParams</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span> |
| |
| <div class="viewcode-block" id="Pipeline.setStages"><a class="viewcode-back" href="../../../reference/api/pyspark.ml.Pipeline.html#pyspark.ml.Pipeline.setStages">[docs]</a> <span class="k">def</span> <span class="nf">setStages</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">List</span><span class="p">[</span><span class="s2">"PipelineStage"</span><span class="p">])</span> <span class="o">-></span> <span class="s2">"Pipeline"</span><span class="p">:</span> |
| <span class="w"> </span><span class="sd">"""</span> |
| <span class="sd"> Set pipeline stages.</span> |
| |
| <span class="sd"> .. versionadded:: 1.3.0</span> |
| |
| <span class="sd"> Parameters</span> |
| <span class="sd"> ----------</span> |
| <span class="sd"> value : list</span> |
| <span class="sd"> of :py:class:`pyspark.ml.Transformer`</span> |
| <span class="sd"> or :py:class:`pyspark.ml.Estimator`</span> |
| |
| <span class="sd"> Returns</span> |
| <span class="sd"> -------</span> |
| <span class="sd"> :py:class:`Pipeline`</span> |
| <span class="sd"> the pipeline instance</span> |
| <span class="sd"> """</span> |
| <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_set</span><span class="p">(</span><span class="n">stages</span><span class="o">=</span><span class="n">value</span><span class="p">)</span></div> |
| |
| <div class="viewcode-block" id="Pipeline.getStages"><a class="viewcode-back" href="../../../reference/api/pyspark.ml.Pipeline.html#pyspark.ml.Pipeline.getStages">[docs]</a> <span class="nd">@since</span><span class="p">(</span><span class="s2">"1.3.0"</span><span class="p">)</span> |
| <span class="k">def</span> <span class="nf">getStages</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-></span> <span class="n">List</span><span class="p">[</span><span class="s2">"PipelineStage"</span><span class="p">]:</span> |
| <span class="w"> </span><span class="sd">"""</span> |
| <span class="sd"> Get pipeline stages.</span> |
| <span class="sd"> """</span> |
| <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">getOrDefault</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">stages</span><span class="p">)</span></div> |
| |
| <div class="viewcode-block" id="Pipeline.setParams"><a class="viewcode-back" href="../../../reference/api/pyspark.ml.Pipeline.html#pyspark.ml.Pipeline.setParams">[docs]</a> <span class="nd">@keyword_only</span> |
| <span class="nd">@since</span><span class="p">(</span><span class="s2">"1.3.0"</span><span class="p">)</span> |
| <span class="k">def</span> <span class="nf">setParams</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">*</span><span class="p">,</span> <span class="n">stages</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="s2">"PipelineStage"</span><span class="p">]]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">)</span> <span class="o">-></span> <span class="s2">"Pipeline"</span><span class="p">:</span> |
| <span class="w"> </span><span class="sd">"""</span> |
| <span class="sd"> setParams(self, \\*, stages=None)</span> |
| <span class="sd"> Sets params for Pipeline.</span> |
| <span class="sd"> """</span> |
| <span class="n">kwargs</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_input_kwargs</span> |
| <span class="k">return</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="n">kwargs</span><span class="p">)</span></div> |
| |
| <span class="k">def</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">-></span> <span class="s2">"PipelineModel"</span><span class="p">:</span> |
| <span class="n">stages</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">getStages</span><span class="p">()</span> |
| <span class="k">for</span> <span class="n">stage</span> <span class="ow">in</span> <span class="n">stages</span><span class="p">:</span> |
| <span class="k">if</span> <span class="ow">not</span> <span class="p">(</span><span class="nb">isinstance</span><span class="p">(</span><span class="n">stage</span><span class="p">,</span> <span class="n">Estimator</span><span class="p">)</span> <span class="ow">or</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">stage</span><span class="p">,</span> <span class="n">Transformer</span><span class="p">)):</span> |
| <span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="s2">"Cannot recognize a pipeline stage of type </span><span class="si">%s</span><span class="s2">."</span> <span class="o">%</span> <span class="nb">type</span><span class="p">(</span><span class="n">stage</span><span class="p">))</span> |
| <span class="n">indexOfLastEstimator</span> <span class="o">=</span> <span class="o">-</span><span class="mi">1</span> |
| <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">stage</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">stages</span><span class="p">):</span> |
| <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">stage</span><span class="p">,</span> <span class="n">Estimator</span><span class="p">):</span> |
| <span class="n">indexOfLastEstimator</span> <span class="o">=</span> <span class="n">i</span> |
| <span class="n">transformers</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Transformer</span><span class="p">]</span> <span class="o">=</span> <span class="p">[]</span> |
| <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">stage</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">stages</span><span class="p">):</span> |
| <span class="k">if</span> <span class="n">i</span> <span class="o"><=</span> <span class="n">indexOfLastEstimator</span><span class="p">:</span> |
| <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">stage</span><span class="p">,</span> <span class="n">Transformer</span><span class="p">):</span> |
| <span class="n">transformers</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">stage</span><span class="p">)</span> |
| <span class="n">dataset</span> <span class="o">=</span> <span class="n">stage</span><span class="o">.</span><span class="n">transform</span><span class="p">(</span><span class="n">dataset</span><span class="p">)</span> |
| <span class="k">else</span><span class="p">:</span> <span class="c1"># must be an Estimator</span> |
| <span class="n">model</span> <span class="o">=</span> <span class="n">stage</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">dataset</span><span class="p">)</span> |
| <span class="n">transformers</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">model</span><span class="p">)</span> |
| <span class="k">if</span> <span class="n">i</span> <span class="o"><</span> <span class="n">indexOfLastEstimator</span><span class="p">:</span> |
| <span class="n">dataset</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">transform</span><span class="p">(</span><span class="n">dataset</span><span class="p">)</span> |
| <span class="k">else</span><span class="p">:</span> |
| <span class="n">transformers</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">cast</span><span class="p">(</span><span class="n">Transformer</span><span class="p">,</span> <span class="n">stage</span><span class="p">))</span> |
| <span class="k">return</span> <span class="n">PipelineModel</span><span class="p">(</span><span class="n">transformers</span><span class="p">)</span> |
| |
| <div class="viewcode-block" id="Pipeline.copy"><a class="viewcode-back" href="../../../reference/api/pyspark.ml.Pipeline.html#pyspark.ml.Pipeline.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="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="s2">"ParamMap"</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">)</span> <span class="o">-></span> <span class="s2">"Pipeline"</span><span class="p">:</span> |
| <span class="w"> </span><span class="sd">"""</span> |
| <span class="sd"> Creates a copy of this instance.</span> |
| |
| <span class="sd"> .. versionadded:: 1.4.0</span> |
| |
| <span class="sd"> Parameters</span> |
| <span class="sd"> ----------</span> |
| <span class="sd"> extra : dict, optional</span> |
| <span class="sd"> extra parameters</span> |
| |
| <span class="sd"> Returns</span> |
| <span class="sd"> -------</span> |
| <span class="sd"> :py:class:`Pipeline`</span> |
| <span class="sd"> new instance</span> |
| <span class="sd"> """</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">Params</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">extra</span><span class="p">)</span> |
| <span class="n">stages</span> <span class="o">=</span> <span class="p">[</span><span class="n">stage</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">for</span> <span class="n">stage</span> <span class="ow">in</span> <span class="n">that</span><span class="o">.</span><span class="n">getStages</span><span class="p">()]</span> |
| <span class="k">return</span> <span class="n">that</span><span class="o">.</span><span class="n">setStages</span><span class="p">(</span><span class="n">stages</span><span class="p">)</span></div> |
| |
| <div class="viewcode-block" id="Pipeline.write"><a class="viewcode-back" href="../../../reference/api/pyspark.ml.Pipeline.html#pyspark.ml.Pipeline.write">[docs]</a> <span class="nd">@since</span><span class="p">(</span><span class="s2">"2.0.0"</span><span class="p">)</span> |
| <span class="k">def</span> <span class="nf">write</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-></span> <span class="n">MLWriter</span><span class="p">:</span> |
| <span class="w"> </span><span class="sd">"""Returns an MLWriter instance for this ML instance."""</span> |
| <span class="n">allStagesAreJava</span> <span class="o">=</span> <span class="n">PipelineSharedReadWrite</span><span class="o">.</span><span class="n">checkStagesForJava</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">getStages</span><span class="p">())</span> |
| <span class="k">if</span> <span class="n">allStagesAreJava</span><span class="p">:</span> |
| <span class="k">return</span> <span class="n">JavaMLWriter</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="c1"># type: ignore[arg-type]</span> |
| <span class="k">return</span> <span class="n">PipelineWriter</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span></div> |
| |
| <div class="viewcode-block" id="Pipeline.read"><a class="viewcode-back" href="../../../reference/api/pyspark.ml.Pipeline.html#pyspark.ml.Pipeline.read">[docs]</a> <span class="nd">@classmethod</span> |
| <span class="nd">@since</span><span class="p">(</span><span class="s2">"2.0.0"</span><span class="p">)</span> |
| <span class="k">def</span> <span class="nf">read</span><span class="p">(</span><span class="bp">cls</span><span class="p">)</span> <span class="o">-></span> <span class="s2">"PipelineReader"</span><span class="p">:</span> |
| <span class="w"> </span><span class="sd">"""Returns an MLReader instance for this class."""</span> |
| <span class="k">return</span> <span class="n">PipelineReader</span><span class="p">(</span><span class="bp">cls</span><span class="p">)</span></div> |
| |
| <span class="nd">@classmethod</span> |
| <span class="k">def</span> <span class="nf">_from_java</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">java_stage</span><span class="p">:</span> <span class="s2">"JavaObject"</span><span class="p">)</span> <span class="o">-></span> <span class="s2">"Pipeline"</span><span class="p">:</span> |
| <span class="w"> </span><span class="sd">"""</span> |
| <span class="sd"> Given a Java Pipeline, create and return a Python wrapper of it.</span> |
| <span class="sd"> Used for ML persistence.</span> |
| <span class="sd"> """</span> |
| <span class="c1"># Create a new instance of this stage.</span> |
| <span class="n">py_stage</span> <span class="o">=</span> <span class="bp">cls</span><span class="p">()</span> |
| <span class="c1"># Load information from java_stage to the instance.</span> |
| <span class="n">py_stages</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="s2">"PipelineStage"</span><span class="p">]</span> <span class="o">=</span> <span class="p">[</span> |
| <span class="n">JavaParams</span><span class="o">.</span><span class="n">_from_java</span><span class="p">(</span><span class="n">s</span><span class="p">)</span> <span class="k">for</span> <span class="n">s</span> <span class="ow">in</span> <span class="n">java_stage</span><span class="o">.</span><span class="n">getStages</span><span class="p">()</span> |
| <span class="p">]</span> |
| <span class="n">py_stage</span><span class="o">.</span><span class="n">setStages</span><span class="p">(</span><span class="n">py_stages</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="k">return</span> <span class="n">py_stage</span> |
| |
| <span class="k">def</span> <span class="nf">_to_java</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-></span> <span class="s2">"JavaObject"</span><span class="p">:</span> |
| <span class="w"> </span><span class="sd">"""</span> |
| <span class="sd"> Transfer this instance to a Java Pipeline. Used for ML persistence.</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"> """</span> |
| |
| <span class="n">gateway</span> <span class="o">=</span> <span class="n">SparkContext</span><span class="o">.</span><span class="n">_gateway</span> |
| <span class="k">assert</span> <span class="n">gateway</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">SparkContext</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="bp">cls</span> <span class="o">=</span> <span class="n">SparkContext</span><span class="o">.</span><span class="n">_jvm</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">PipelineStage</span> |
| <span class="n">java_stages</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="bp">cls</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">getStages</span><span class="p">()))</span> |
| <span class="k">for</span> <span class="n">idx</span><span class="p">,</span> <span class="n">stage</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">getStages</span><span class="p">()):</span> |
| <span class="n">java_stages</span><span class="p">[</span><span class="n">idx</span><span class="p">]</span> <span class="o">=</span> <span class="n">cast</span><span class="p">(</span><span class="n">JavaParams</span><span class="p">,</span> <span class="n">stage</span><span class="p">)</span><span class="o">.</span><span class="n">_to_java</span><span class="p">()</span> |
| |
| <span class="n">_java_obj</span> <span class="o">=</span> <span class="n">JavaParams</span><span class="o">.</span><span class="n">_new_java_obj</span><span class="p">(</span><span class="s2">"org.apache.spark.ml.Pipeline"</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">uid</span><span class="p">)</span> |
| <span class="n">_java_obj</span><span class="o">.</span><span class="n">setStages</span><span class="p">(</span><span class="n">java_stages</span><span class="p">)</span> |
| |
| <span class="k">return</span> <span class="n">_java_obj</span></div> |
| |
| |
| <span class="nd">@inherit_doc</span> |
| <span class="k">class</span> <span class="nc">PipelineWriter</span><span class="p">(</span><span class="n">MLWriter</span><span class="p">):</span> |
| <span class="w"> </span><span class="sd">"""</span> |
| <span class="sd"> (Private) Specialization of :py:class:`MLWriter` for :py:class:`Pipeline` types</span> |
| <span class="sd"> """</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">instance</span><span class="p">:</span> <span class="n">Pipeline</span><span class="p">):</span> |
| <span class="nb">super</span><span class="p">(</span><span class="n">PipelineWriter</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">instance</span> <span class="o">=</span> <span class="n">instance</span> |
| |
| <span class="k">def</span> <span class="nf">saveImpl</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">path</span><span class="p">:</span> <span class="nb">str</span><span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span> |
| <span class="n">stages</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">instance</span><span class="o">.</span><span class="n">getStages</span><span class="p">()</span> |
| <span class="n">PipelineSharedReadWrite</span><span class="o">.</span><span class="n">validateStages</span><span class="p">(</span><span class="n">stages</span><span class="p">)</span> |
| <span class="n">PipelineSharedReadWrite</span><span class="o">.</span><span class="n">saveImpl</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">instance</span><span class="p">,</span> <span class="n">stages</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">sc</span><span class="p">,</span> <span class="n">path</span><span class="p">)</span> |
| |
| |
| <span class="nd">@inherit_doc</span> |
| <span class="k">class</span> <span class="nc">PipelineReader</span><span class="p">(</span><span class="n">MLReader</span><span class="p">[</span><span class="n">Pipeline</span><span class="p">]):</span> |
| <span class="w"> </span><span class="sd">"""</span> |
| <span class="sd"> (Private) Specialization of :py:class:`MLReader` for :py:class:`Pipeline` types</span> |
| <span class="sd"> """</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="bp">cls</span><span class="p">:</span> <span class="n">Type</span><span class="p">[</span><span class="n">Pipeline</span><span class="p">]):</span> |
| <span class="nb">super</span><span class="p">(</span><span class="n">PipelineReader</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">cls</span> <span class="o">=</span> <span class="bp">cls</span> |
| |
| <span class="k">def</span> <span class="nf">load</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">path</span><span class="p">:</span> <span class="nb">str</span><span class="p">)</span> <span class="o">-></span> <span class="n">Pipeline</span><span class="p">:</span> |
| <span class="n">metadata</span> <span class="o">=</span> <span class="n">DefaultParamsReader</span><span class="o">.</span><span class="n">loadMetadata</span><span class="p">(</span><span class="n">path</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">sc</span><span class="p">)</span> |
| <span class="k">if</span> <span class="s2">"language"</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">metadata</span><span class="p">[</span><span class="s2">"paramMap"</span><span class="p">]</span> <span class="ow">or</span> <span class="n">metadata</span><span class="p">[</span><span class="s2">"paramMap"</span><span class="p">][</span><span class="s2">"language"</span><span class="p">]</span> <span class="o">!=</span> <span class="s2">"Python"</span><span class="p">:</span> |
| <span class="k">return</span> <span class="n">JavaMLReader</span><span class="p">(</span><span class="n">cast</span><span class="p">(</span><span class="n">Type</span><span class="p">[</span><span class="s2">"JavaMLReadable[Pipeline]"</span><span class="p">],</span> <span class="bp">self</span><span class="o">.</span><span class="n">cls</span><span class="p">))</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">path</span><span class="p">)</span> |
| <span class="k">else</span><span class="p">:</span> |
| <span class="n">uid</span><span class="p">,</span> <span class="n">stages</span> <span class="o">=</span> <span class="n">PipelineSharedReadWrite</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">metadata</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">sc</span><span class="p">,</span> <span class="n">path</span><span class="p">)</span> |
| <span class="k">return</span> <span class="n">Pipeline</span><span class="p">(</span><span class="n">stages</span><span class="o">=</span><span class="n">stages</span><span class="p">)</span><span class="o">.</span><span class="n">_resetUid</span><span class="p">(</span><span class="n">uid</span><span class="p">)</span> |
| |
| |
| <span class="nd">@inherit_doc</span> |
| <span class="k">class</span> <span class="nc">PipelineModelWriter</span><span class="p">(</span><span class="n">MLWriter</span><span class="p">):</span> |
| <span class="w"> </span><span class="sd">"""</span> |
| <span class="sd"> (Private) Specialization of :py:class:`MLWriter` for :py:class:`PipelineModel` types</span> |
| <span class="sd"> """</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">instance</span><span class="p">:</span> <span class="s2">"PipelineModel"</span><span class="p">):</span> |
| <span class="nb">super</span><span class="p">(</span><span class="n">PipelineModelWriter</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">instance</span> <span class="o">=</span> <span class="n">instance</span> |
| |
| <span class="k">def</span> <span class="nf">saveImpl</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">path</span><span class="p">:</span> <span class="nb">str</span><span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span> |
| <span class="n">stages</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">instance</span><span class="o">.</span><span class="n">stages</span> |
| <span class="n">PipelineSharedReadWrite</span><span class="o">.</span><span class="n">validateStages</span><span class="p">(</span><span class="n">cast</span><span class="p">(</span><span class="n">List</span><span class="p">[</span><span class="s2">"PipelineStage"</span><span class="p">],</span> <span class="n">stages</span><span class="p">))</span> |
| <span class="n">PipelineSharedReadWrite</span><span class="o">.</span><span class="n">saveImpl</span><span class="p">(</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">instance</span><span class="p">,</span> <span class="n">cast</span><span class="p">(</span><span class="n">List</span><span class="p">[</span><span class="s2">"PipelineStage"</span><span class="p">],</span> <span class="n">stages</span><span class="p">),</span> <span class="bp">self</span><span class="o">.</span><span class="n">sc</span><span class="p">,</span> <span class="n">path</span> |
| <span class="p">)</span> |
| |
| |
| <span class="nd">@inherit_doc</span> |
| <span class="k">class</span> <span class="nc">PipelineModelReader</span><span class="p">(</span><span class="n">MLReader</span><span class="p">[</span><span class="s2">"PipelineModel"</span><span class="p">]):</span> |
| <span class="w"> </span><span class="sd">"""</span> |
| <span class="sd"> (Private) Specialization of :py:class:`MLReader` for :py:class:`PipelineModel` types</span> |
| <span class="sd"> """</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="bp">cls</span><span class="p">:</span> <span class="n">Type</span><span class="p">[</span><span class="s2">"PipelineModel"</span><span class="p">]):</span> |
| <span class="nb">super</span><span class="p">(</span><span class="n">PipelineModelReader</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">cls</span> <span class="o">=</span> <span class="bp">cls</span> |
| |
| <span class="k">def</span> <span class="nf">load</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">path</span><span class="p">:</span> <span class="nb">str</span><span class="p">)</span> <span class="o">-></span> <span class="s2">"PipelineModel"</span><span class="p">:</span> |
| <span class="n">metadata</span> <span class="o">=</span> <span class="n">DefaultParamsReader</span><span class="o">.</span><span class="n">loadMetadata</span><span class="p">(</span><span class="n">path</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">sc</span><span class="p">)</span> |
| <span class="k">if</span> <span class="s2">"language"</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">metadata</span><span class="p">[</span><span class="s2">"paramMap"</span><span class="p">]</span> <span class="ow">or</span> <span class="n">metadata</span><span class="p">[</span><span class="s2">"paramMap"</span><span class="p">][</span><span class="s2">"language"</span><span class="p">]</span> <span class="o">!=</span> <span class="s2">"Python"</span><span class="p">:</span> |
| <span class="k">return</span> <span class="n">JavaMLReader</span><span class="p">(</span><span class="n">cast</span><span class="p">(</span><span class="n">Type</span><span class="p">[</span><span class="s2">"JavaMLReadable[PipelineModel]"</span><span class="p">],</span> <span class="bp">self</span><span class="o">.</span><span class="n">cls</span><span class="p">))</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">path</span><span class="p">)</span> |
| <span class="k">else</span><span class="p">:</span> |
| <span class="n">uid</span><span class="p">,</span> <span class="n">stages</span> <span class="o">=</span> <span class="n">PipelineSharedReadWrite</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">metadata</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">sc</span><span class="p">,</span> <span class="n">path</span><span class="p">)</span> |
| <span class="k">return</span> <span class="n">PipelineModel</span><span class="p">(</span><span class="n">stages</span><span class="o">=</span><span class="n">cast</span><span class="p">(</span><span class="n">List</span><span class="p">[</span><span class="n">Transformer</span><span class="p">],</span> <span class="n">stages</span><span class="p">))</span><span class="o">.</span><span class="n">_resetUid</span><span class="p">(</span><span class="n">uid</span><span class="p">)</span> |
| |
| |
| <div class="viewcode-block" id="PipelineModel"><a class="viewcode-back" href="../../../reference/api/pyspark.ml.PipelineModel.html#pyspark.ml.PipelineModel">[docs]</a><span class="nd">@inherit_doc</span> |
| <span class="k">class</span> <span class="nc">PipelineModel</span><span class="p">(</span><span class="n">Model</span><span class="p">,</span> <span class="n">MLReadable</span><span class="p">[</span><span class="s2">"PipelineModel"</span><span class="p">],</span> <span class="n">MLWritable</span><span class="p">):</span> |
| <span class="w"> </span><span class="sd">"""</span> |
| <span class="sd"> Represents a compiled pipeline with transformers and fitted models.</span> |
| |
| <span class="sd"> .. versionadded:: 1.3.0</span> |
| <span class="sd"> """</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">stages</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Transformer</span><span class="p">]):</span> |
| <span class="nb">super</span><span class="p">(</span><span class="n">PipelineModel</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">stages</span> <span class="o">=</span> <span class="n">stages</span> |
| |
| <span class="k">def</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">-></span> <span class="n">DataFrame</span><span class="p">:</span> |
| <span class="k">for</span> <span class="n">t</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">stages</span><span class="p">:</span> |
| <span class="n">dataset</span> <span class="o">=</span> <span class="n">t</span><span class="o">.</span><span class="n">transform</span><span class="p">(</span><span class="n">dataset</span><span class="p">)</span> |
| <span class="k">return</span> <span class="n">dataset</span> |
| |
| <div class="viewcode-block" id="PipelineModel.copy"><a class="viewcode-back" href="../../../reference/api/pyspark.ml.PipelineModel.html#pyspark.ml.PipelineModel.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="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="s2">"ParamMap"</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">)</span> <span class="o">-></span> <span class="s2">"PipelineModel"</span><span class="p">:</span> |
| <span class="w"> </span><span class="sd">"""</span> |
| <span class="sd"> Creates a copy of this instance.</span> |
| |
| <span class="sd"> .. versionadded:: 1.4.0</span> |
| |
| <span class="sd"> :param extra: extra parameters</span> |
| <span class="sd"> :returns: new instance</span> |
| <span class="sd"> """</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">stages</span> <span class="o">=</span> <span class="p">[</span><span class="n">stage</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">for</span> <span class="n">stage</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">stages</span><span class="p">]</span> |
| <span class="k">return</span> <span class="n">PipelineModel</span><span class="p">(</span><span class="n">stages</span><span class="p">)</span></div> |
| |
| <div class="viewcode-block" id="PipelineModel.write"><a class="viewcode-back" href="../../../reference/api/pyspark.ml.PipelineModel.html#pyspark.ml.PipelineModel.write">[docs]</a> <span class="nd">@since</span><span class="p">(</span><span class="s2">"2.0.0"</span><span class="p">)</span> |
| <span class="k">def</span> <span class="nf">write</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-></span> <span class="n">MLWriter</span><span class="p">:</span> |
| <span class="w"> </span><span class="sd">"""Returns an MLWriter instance for this ML instance."""</span> |
| <span class="n">allStagesAreJava</span> <span class="o">=</span> <span class="n">PipelineSharedReadWrite</span><span class="o">.</span><span class="n">checkStagesForJava</span><span class="p">(</span> |
| <span class="n">cast</span><span class="p">(</span><span class="n">List</span><span class="p">[</span><span class="s2">"PipelineStage"</span><span class="p">],</span> <span class="bp">self</span><span class="o">.</span><span class="n">stages</span><span class="p">)</span> |
| <span class="p">)</span> |
| <span class="k">if</span> <span class="n">allStagesAreJava</span><span class="p">:</span> |
| <span class="k">return</span> <span class="n">JavaMLWriter</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="c1"># type: ignore[arg-type]</span> |
| <span class="k">return</span> <span class="n">PipelineModelWriter</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span></div> |
| |
| <div class="viewcode-block" id="PipelineModel.read"><a class="viewcode-back" href="../../../reference/api/pyspark.ml.PipelineModel.html#pyspark.ml.PipelineModel.read">[docs]</a> <span class="nd">@classmethod</span> |
| <span class="nd">@since</span><span class="p">(</span><span class="s2">"2.0.0"</span><span class="p">)</span> |
| <span class="k">def</span> <span class="nf">read</span><span class="p">(</span><span class="bp">cls</span><span class="p">)</span> <span class="o">-></span> <span class="n">PipelineModelReader</span><span class="p">:</span> |
| <span class="w"> </span><span class="sd">"""Returns an MLReader instance for this class."""</span> |
| <span class="k">return</span> <span class="n">PipelineModelReader</span><span class="p">(</span><span class="bp">cls</span><span class="p">)</span></div> |
| |
| <span class="nd">@classmethod</span> |
| <span class="k">def</span> <span class="nf">_from_java</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">java_stage</span><span class="p">:</span> <span class="s2">"JavaObject"</span><span class="p">)</span> <span class="o">-></span> <span class="s2">"PipelineModel"</span><span class="p">:</span> |
| <span class="w"> </span><span class="sd">"""</span> |
| <span class="sd"> Given a Java PipelineModel, create and return a Python wrapper of it.</span> |
| <span class="sd"> Used for ML persistence.</span> |
| <span class="sd"> """</span> |
| <span class="c1"># Load information from java_stage to the instance.</span> |
| <span class="n">py_stages</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Transformer</span><span class="p">]</span> <span class="o">=</span> <span class="p">[</span><span class="n">JavaParams</span><span class="o">.</span><span class="n">_from_java</span><span class="p">(</span><span class="n">s</span><span class="p">)</span> <span class="k">for</span> <span class="n">s</span> <span class="ow">in</span> <span class="n">java_stage</span><span class="o">.</span><span class="n">stages</span><span class="p">()]</span> |
| <span class="c1"># Create a new instance of this stage.</span> |
| <span class="n">py_stage</span> <span class="o">=</span> <span class="bp">cls</span><span class="p">(</span><span class="n">py_stages</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="k">return</span> <span class="n">py_stage</span> |
| |
| <span class="k">def</span> <span class="nf">_to_java</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-></span> <span class="s2">"JavaObject"</span><span class="p">:</span> |
| <span class="w"> </span><span class="sd">"""</span> |
| <span class="sd"> Transfer this instance to a Java PipelineModel. Used for ML persistence.</span> |
| |
| <span class="sd"> :return: Java object equivalent to this instance.</span> |
| <span class="sd"> """</span> |
| |
| <span class="n">gateway</span> <span class="o">=</span> <span class="n">SparkContext</span><span class="o">.</span><span class="n">_gateway</span> |
| <span class="k">assert</span> <span class="n">gateway</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">SparkContext</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="bp">cls</span> <span class="o">=</span> <span class="n">SparkContext</span><span class="o">.</span><span class="n">_jvm</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">Transformer</span> |
| <span class="n">java_stages</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="bp">cls</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">stages</span><span class="p">))</span> |
| <span class="k">for</span> <span class="n">idx</span><span class="p">,</span> <span class="n">stage</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">stages</span><span class="p">):</span> |
| <span class="n">java_stages</span><span class="p">[</span><span class="n">idx</span><span class="p">]</span> <span class="o">=</span> <span class="n">cast</span><span class="p">(</span><span class="n">JavaParams</span><span class="p">,</span> <span class="n">stage</span><span class="p">)</span><span class="o">.</span><span class="n">_to_java</span><span class="p">()</span> |
| |
| <span class="n">_java_obj</span> <span class="o">=</span> <span class="n">JavaParams</span><span class="o">.</span><span class="n">_new_java_obj</span><span class="p">(</span> |
| <span class="s2">"org.apache.spark.ml.PipelineModel"</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">uid</span><span class="p">,</span> <span class="n">java_stages</span> |
| <span class="p">)</span> |
| |
| <span class="k">return</span> <span class="n">_java_obj</span></div> |
| |
| |
| <span class="nd">@inherit_doc</span> |
| <span class="k">class</span> <span class="nc">PipelineSharedReadWrite</span><span class="p">:</span> |
| <span class="w"> </span><span class="sd">"""</span> |
| <span class="sd"> Functions for :py:class:`MLReader` and :py:class:`MLWriter` shared between</span> |
| <span class="sd"> :py:class:`Pipeline` and :py:class:`PipelineModel`</span> |
| |
| <span class="sd"> .. versionadded:: 2.3.0</span> |
| <span class="sd"> """</span> |
| |
| <span class="nd">@staticmethod</span> |
| <span class="k">def</span> <span class="nf">checkStagesForJava</span><span class="p">(</span><span class="n">stages</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="s2">"PipelineStage"</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="nb">all</span><span class="p">(</span><span class="nb">isinstance</span><span class="p">(</span><span class="n">stage</span><span class="p">,</span> <span class="n">JavaMLWritable</span><span class="p">)</span> <span class="k">for</span> <span class="n">stage</span> <span class="ow">in</span> <span class="n">stages</span><span class="p">)</span> |
| |
| <span class="nd">@staticmethod</span> |
| <span class="k">def</span> <span class="nf">validateStages</span><span class="p">(</span><span class="n">stages</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="s2">"PipelineStage"</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">"""</span> |
| <span class="sd"> Check that all stages are Writable</span> |
| <span class="sd"> """</span> |
| <span class="k">for</span> <span class="n">stage</span> <span class="ow">in</span> <span class="n">stages</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">stage</span><span class="p">,</span> <span class="n">MLWritable</span><span class="p">):</span> |
| <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span> |
| <span class="s2">"Pipeline write will fail on this pipeline "</span> |
| <span class="o">+</span> <span class="s2">"because stage </span><span class="si">%s</span><span class="s2"> of type </span><span class="si">%s</span><span class="s2"> is not MLWritable"</span><span class="p">,</span> |
| <span class="n">stage</span><span class="o">.</span><span class="n">uid</span><span class="p">,</span> |
| <span class="nb">type</span><span class="p">(</span><span class="n">stage</span><span class="p">),</span> |
| <span class="p">)</span> |
| |
| <span class="nd">@staticmethod</span> |
| <span class="k">def</span> <span class="nf">saveImpl</span><span class="p">(</span> |
| <span class="n">instance</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">Pipeline</span><span class="p">,</span> <span class="n">PipelineModel</span><span class="p">],</span> |
| <span class="n">stages</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="s2">"PipelineStage"</span><span class="p">],</span> |
| <span class="n">sc</span><span class="p">:</span> <span class="n">SparkContext</span><span class="p">,</span> |
| <span class="n">path</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</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">"""</span> |
| <span class="sd"> Save metadata and stages for a :py:class:`Pipeline` or :py:class:`PipelineModel`</span> |
| <span class="sd"> - save metadata to path/metadata</span> |
| <span class="sd"> - save stages to stages/IDX_UID</span> |
| <span class="sd"> """</span> |
| <span class="n">stageUids</span> <span class="o">=</span> <span class="p">[</span><span class="n">stage</span><span class="o">.</span><span class="n">uid</span> <span class="k">for</span> <span class="n">stage</span> <span class="ow">in</span> <span class="n">stages</span><span class="p">]</span> |
| <span class="n">jsonParams</span> <span class="o">=</span> <span class="p">{</span><span class="s2">"stageUids"</span><span class="p">:</span> <span class="n">stageUids</span><span class="p">,</span> <span class="s2">"language"</span><span class="p">:</span> <span class="s2">"Python"</span><span class="p">}</span> |
| <span class="n">DefaultParamsWriter</span><span class="o">.</span><span class="n">saveMetadata</span><span class="p">(</span><span class="n">instance</span><span class="p">,</span> <span class="n">path</span><span class="p">,</span> <span class="n">sc</span><span class="p">,</span> <span class="n">paramMap</span><span class="o">=</span><span class="n">jsonParams</span><span class="p">)</span> |
| <span class="n">stagesDir</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">path</span><span class="p">,</span> <span class="s2">"stages"</span><span class="p">)</span> |
| <span class="k">for</span> <span class="n">index</span><span class="p">,</span> <span class="n">stage</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">stages</span><span class="p">):</span> |
| <span class="n">cast</span><span class="p">(</span><span class="n">MLWritable</span><span class="p">,</span> <span class="n">stage</span><span class="p">)</span><span class="o">.</span><span class="n">write</span><span class="p">()</span><span class="o">.</span><span class="n">save</span><span class="p">(</span> |
| <span class="n">PipelineSharedReadWrite</span><span class="o">.</span><span class="n">getStagePath</span><span class="p">(</span><span class="n">stage</span><span class="o">.</span><span class="n">uid</span><span class="p">,</span> <span class="n">index</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">stages</span><span class="p">),</span> <span class="n">stagesDir</span><span class="p">)</span> |
| <span class="p">)</span> |
| |
| <span class="nd">@staticmethod</span> |
| <span class="k">def</span> <span class="nf">load</span><span class="p">(</span> |
| <span class="n">metadata</span><span class="p">:</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Any</span><span class="p">],</span> <span class="n">sc</span><span class="p">:</span> <span class="n">SparkContext</span><span class="p">,</span> <span class="n">path</span><span class="p">:</span> <span class="nb">str</span> |
| <span class="p">)</span> <span class="o">-></span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">List</span><span class="p">[</span><span class="s2">"PipelineStage"</span><span class="p">]]:</span> |
| <span class="w"> </span><span class="sd">"""</span> |
| <span class="sd"> Load metadata and stages for a :py:class:`Pipeline` or :py:class:`PipelineModel`</span> |
| |
| <span class="sd"> Returns</span> |
| <span class="sd"> -------</span> |
| <span class="sd"> tuple</span> |
| <span class="sd"> (UID, list of stages)</span> |
| <span class="sd"> """</span> |
| <span class="n">stagesDir</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">path</span><span class="p">,</span> <span class="s2">"stages"</span><span class="p">)</span> |
| <span class="n">stageUids</span> <span class="o">=</span> <span class="n">metadata</span><span class="p">[</span><span class="s2">"paramMap"</span><span class="p">][</span><span class="s2">"stageUids"</span><span class="p">]</span> |
| <span class="n">stages</span> <span class="o">=</span> <span class="p">[]</span> |
| <span class="k">for</span> <span class="n">index</span><span class="p">,</span> <span class="n">stageUid</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">stageUids</span><span class="p">):</span> |
| <span class="n">stagePath</span> <span class="o">=</span> <span class="n">PipelineSharedReadWrite</span><span class="o">.</span><span class="n">getStagePath</span><span class="p">(</span> |
| <span class="n">stageUid</span><span class="p">,</span> <span class="n">index</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">stageUids</span><span class="p">),</span> <span class="n">stagesDir</span> |
| <span class="p">)</span> |
| <span class="n">stage</span><span class="p">:</span> <span class="s2">"PipelineStage"</span> <span class="o">=</span> <span class="n">DefaultParamsReader</span><span class="o">.</span><span class="n">loadParamsInstance</span><span class="p">(</span><span class="n">stagePath</span><span class="p">,</span> <span class="n">sc</span><span class="p">)</span> |
| <span class="n">stages</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">stage</span><span class="p">)</span> |
| <span class="k">return</span> <span class="p">(</span><span class="n">metadata</span><span class="p">[</span><span class="s2">"uid"</span><span class="p">],</span> <span class="n">stages</span><span class="p">)</span> |
| |
| <span class="nd">@staticmethod</span> |
| <span class="k">def</span> <span class="nf">getStagePath</span><span class="p">(</span><span class="n">stageUid</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">stageIdx</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">numStages</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">stagesDir</span><span class="p">:</span> <span class="nb">str</span><span class="p">)</span> <span class="o">-></span> <span class="nb">str</span><span class="p">:</span> |
| <span class="w"> </span><span class="sd">"""</span> |
| <span class="sd"> Get path for saving the given stage.</span> |
| <span class="sd"> """</span> |
| <span class="n">stageIdxDigits</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="nb">str</span><span class="p">(</span><span class="n">numStages</span><span class="p">))</span> |
| <span class="n">stageDir</span> <span class="o">=</span> <span class="nb">str</span><span class="p">(</span><span class="n">stageIdx</span><span class="p">)</span><span class="o">.</span><span class="n">zfill</span><span class="p">(</span><span class="n">stageIdxDigits</span><span class="p">)</span> <span class="o">+</span> <span class="s2">"_"</span> <span class="o">+</span> <span class="n">stageUid</span> |
| <span class="n">stagePath</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">stagesDir</span><span class="p">,</span> <span class="n">stageDir</span><span class="p">)</span> |
| <span class="k">return</span> <span class="n">stagePath</span> |
| </pre></div> |
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