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<h1>Source code for pyFTS.hyperparam.Util</h1><div class="highlight"><pre>
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<span></span><span class="sd">"""</span>
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<span class="sd">Common facilities for hyperparameter optimization</span>
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<span class="sd">"""</span>
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<span class="kn">import</span> <span class="nn">sqlite3</span>
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<div class="viewcode-block" id="open_hyperparam_db"><a class="viewcode-back" href="../../../pyFTS.hyperparam.html#pyFTS.hyperparam.Util.open_hyperparam_db">[docs]</a><span class="k">def</span> <span class="nf">open_hyperparam_db</span><span class="p">(</span><span class="n">name</span><span class="p">):</span>
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<span class="w"> </span><span class="sd">"""</span>
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<span class="sd"> Open a connection with a Sqlite database designed to store benchmark results.</span>
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<span class="sd"> :param name: database filenem</span>
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<span class="sd"> :return: a sqlite3 database connection</span>
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<span class="sd"> """</span>
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<span class="n">conn</span> <span class="o">=</span> <span class="n">sqlite3</span><span class="o">.</span><span class="n">connect</span><span class="p">(</span><span class="n">name</span><span class="p">)</span>
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<span class="c1">#performance optimizations</span>
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<span class="n">conn</span><span class="o">.</span><span class="n">execute</span><span class="p">(</span><span class="s2">"PRAGMA journal_mode = WAL"</span><span class="p">)</span>
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<span class="n">conn</span><span class="o">.</span><span class="n">execute</span><span class="p">(</span><span class="s2">"PRAGMA synchronous = NORMAL"</span><span class="p">)</span>
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<span class="n">create_hyperparam_tables</span><span class="p">(</span><span class="n">conn</span><span class="p">)</span>
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<span class="k">return</span> <span class="n">conn</span></div>
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<div class="viewcode-block" id="create_hyperparam_tables"><a class="viewcode-back" href="../../../pyFTS.hyperparam.html#pyFTS.hyperparam.Util.create_hyperparam_tables">[docs]</a><span class="k">def</span> <span class="nf">create_hyperparam_tables</span><span class="p">(</span><span class="n">conn</span><span class="p">):</span>
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<span class="w"> </span><span class="sd">"""</span>
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<span class="sd"> Create a sqlite3 table designed to store benchmark results.</span>
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<span class="sd"> :param conn: a sqlite3 database connection</span>
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<span class="sd"> """</span>
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<span class="n">c</span> <span class="o">=</span> <span class="n">conn</span><span class="o">.</span><span class="n">cursor</span><span class="p">()</span>
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<span class="n">c</span><span class="o">.</span><span class="n">execute</span><span class="p">(</span><span class="s1">'''CREATE TABLE if not exists hyperparam(</span>
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<span class="s1"> ID integer primary key, Date int, Dataset text, Tag text, </span>
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<span class="s1"> Model text, Transformation text, mf text, 'Order' int, </span>
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<span class="s1"> Partitioner text, Partitions int, alpha real, lags text, </span>
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<span class="s1"> Measure text, Value real)'''</span><span class="p">)</span>
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<span class="n">conn</span><span class="o">.</span><span class="n">commit</span><span class="p">()</span></div>
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<div class="viewcode-block" id="insert_hyperparam"><a class="viewcode-back" href="../../../pyFTS.hyperparam.html#pyFTS.hyperparam.Util.insert_hyperparam">[docs]</a><span class="k">def</span> <span class="nf">insert_hyperparam</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">conn</span><span class="p">):</span>
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<span class="w"> </span><span class="sd">"""</span>
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<span class="sd"> Insert benchmark data on database</span>
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<span class="sd"> :param data: a tuple with the benchmark data with format:</span>
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<span class="sd"> Dataset: Identify on which dataset the dataset was performed</span>
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<span class="sd"> Tag: a user defined word that indentify a benchmark set</span>
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<span class="sd"> Model: FTS model</span>
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<span class="sd"> Transformation: The name of data transformation, if one was used</span>
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<span class="sd"> mf: membership function</span>
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<span class="sd"> Order: the order of the FTS method</span>
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<span class="sd"> Partitioner: UoD partitioning scheme</span>
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<span class="sd"> Partitions: Number of partitions</span>
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<span class="sd"> alpha: alpha cut</span>
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<span class="sd"> lags: lags</span>
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<span class="sd"> Measure: accuracy measure</span>
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<span class="sd"> Value: the measure value</span>
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<span class="sd"> :param conn: a sqlite3 database connection</span>
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<span class="sd"> :return:</span>
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<span class="sd"> """</span>
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<span class="n">c</span> <span class="o">=</span> <span class="n">conn</span><span class="o">.</span><span class="n">cursor</span><span class="p">()</span>
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<span class="n">c</span><span class="o">.</span><span class="n">execute</span><span class="p">(</span><span class="s2">"INSERT INTO hyperparam(Date, Dataset, Tag, Model, "</span>
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<span class="o">+</span> <span class="s2">"Transformation, mf, 'Order', Partitioner, Partitions, "</span>
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<span class="o">+</span> <span class="s2">"alpha, lags, Measure, Value) "</span>
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<span class="o">+</span> <span class="s2">"VALUES(datetime('now'),?,?,?,?,?,?,?,?,?,?,?,?)"</span><span class="p">,</span> <span class="n">data</span><span class="p">)</span>
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<span class="n">conn</span><span class="o">.</span><span class="n">commit</span><span class="p">()</span></div>
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</pre></div>
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