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CHANGELOG.md

@@ -6,7 +6,7 @@ Most recent releases are shown at the top. Each release shows:
 - **Changed**: Additional parameters, changes to inputs or outputs, etc
 - **Fixed**: Bug fixes that don't change documented behaviour
 
-## 0.3.1 (TBD)
+## 0.3.1 (2021-07-19)
 
 ### New:
 - N/A

docs/meta.utils.html

@@ -356,7 +356,7 @@ <h4 id="gini" class="doc_header"><code>gini</code><a href="https://github.com/am
 
 
 <div class="output_markdown rendered_html output_subarea ">
-<h4 id="regression_metrics" class="doc_header"><code>regression_metrics</code><a href="https://github.com/amaiya/causalnlp/tree/main/causalnlp/meta/utils.py#L235" class="source_link" style="float:right">[source]</a></h4><blockquote><p><code>regression_metrics</code>(<strong><code>y</code></strong>, <strong><code>p</code></strong>, <strong><code>w</code></strong>=<em><code>None</code></em>, <strong><code>metrics</code></strong>=<em><code>{'RMSE': &lt;function rmse at 0x7f53cdd7f9d8&gt;, 'sMAPE': &lt;function smape at 0x7f53cdd7f950&gt;, 'Gini': &lt;function gini at 0x7f53cdd7fa60&gt;}</code></em>)</p>
+<h4 id="regression_metrics" class="doc_header"><code>regression_metrics</code><a href="https://github.com/amaiya/causalnlp/tree/main/causalnlp/meta/utils.py#L235" class="source_link" style="float:right">[source]</a></h4><blockquote><p><code>regression_metrics</code>(<strong><code>y</code></strong>, <strong><code>p</code></strong>, <strong><code>w</code></strong>=<em><code>None</code></em>, <strong><code>metrics</code></strong>=<em><code>{'RMSE': &lt;function rmse at 0x7f2c53cfc598&gt;, 'sMAPE': &lt;function smape at 0x7f2c53cfc510&gt;, 'Gini': &lt;function gini at 0x7f2c53cfc620&gt;}</code></em>)</p>
 </blockquote>
 <p>Log metrics for regressors.</p>
 <p>Args:
@@ -424,7 +424,7 @@ <h4 id="logloss" class="doc_header"><code>logloss</code><a href="https://github.
 
 
 <div class="output_markdown rendered_html output_subarea ">
-<h4 id="classification_metrics" class="doc_header"><code>classification_metrics</code><a href="https://github.com/amaiya/causalnlp/tree/main/causalnlp/meta/utils.py#L279" class="source_link" style="float:right">[source]</a></h4><blockquote><p><code>classification_metrics</code>(<strong><code>y</code></strong>, <strong><code>p</code></strong>, <strong><code>w</code></strong>=<em><code>None</code></em>, <strong><code>metrics</code></strong>=<em><code>{'AUC': &lt;function roc_auc_score at 0x7f53ecc83f28&gt;, 'Log Loss': &lt;function logloss at 0x7f53cdd7fb70&gt;}</code></em>)</p>
+<h4 id="classification_metrics" class="doc_header"><code>classification_metrics</code><a href="https://github.com/amaiya/causalnlp/tree/main/causalnlp/meta/utils.py#L279" class="source_link" style="float:right">[source]</a></h4><blockquote><p><code>classification_metrics</code>(<strong><code>y</code></strong>, <strong><code>p</code></strong>, <strong><code>w</code></strong>=<em><code>None</code></em>, <strong><code>metrics</code></strong>=<em><code>{'AUC': &lt;function roc_auc_score at 0x7f2c72c88a60&gt;, 'Log Loss': &lt;function logloss at 0x7f2c53cfc730&gt;}</code></em>)</p>
 </blockquote>
 <p>Log metrics for classifiers.</p>
 <p>Args:
@@ -566,7 +566,7 @@ <h2 id="NearestNeighborMatch" class="doc_header"><code>class</code> <code>Neares
 
 
 <div class="output_markdown rendered_html output_subarea ">
-<h2 id="MatchOptimizer" class="doc_header"><code>class</code> <code>MatchOptimizer</code><a href="https://github.com/amaiya/causalnlp/tree/main/causalnlp/meta/utils.py#L501" class="source_link" style="float:right">[source]</a></h2><blockquote><p><code>MatchOptimizer</code>(<strong><code>treatment_col</code></strong>=<em><code>'is_treatment'</code></em>, <strong><code>ps_col</code></strong>=<em><code>'pihat'</code></em>, <strong><code>user_col</code></strong>=<em><code>None</code></em>, <strong><code>matching_covariates</code></strong>=<em><code>['pihat']</code></em>, <strong><code>max_smd</code></strong>=<em><code>0.1</code></em>, <strong><code>max_deviation</code></strong>=<em><code>0.1</code></em>, <strong><code>caliper_range</code></strong>=<em><code>(0.01, 0.5)</code></em>, <strong><code>max_pihat_range</code></strong>=<em><code>(0.95, 0.999)</code></em>, <strong><code>max_iter_per_param</code></strong>=<em><code>5</code></em>, <strong><code>min_users_per_group</code></strong>=<em><code>1000</code></em>, <strong><code>smd_cols</code></strong>=<em><code>['pihat']</code></em>, <strong><code>dev_cols_transformations</code></strong>=<em><code>{'pihat': &lt;function mean at 0x7f542c4f1950&gt;}</code></em>, <strong><code>dev_factor</code></strong>=<em><code>1.0</code></em>, <strong><code>verbose</code></strong>=<em><code>True</code></em>)</p>
+<h2 id="MatchOptimizer" class="doc_header"><code>class</code> <code>MatchOptimizer</code><a href="https://github.com/amaiya/causalnlp/tree/main/causalnlp/meta/utils.py#L501" class="source_link" style="float:right">[source]</a></h2><blockquote><p><code>MatchOptimizer</code>(<strong><code>treatment_col</code></strong>=<em><code>'is_treatment'</code></em>, <strong><code>ps_col</code></strong>=<em><code>'pihat'</code></em>, <strong><code>user_col</code></strong>=<em><code>None</code></em>, <strong><code>matching_covariates</code></strong>=<em><code>['pihat']</code></em>, <strong><code>max_smd</code></strong>=<em><code>0.1</code></em>, <strong><code>max_deviation</code></strong>=<em><code>0.1</code></em>, <strong><code>caliper_range</code></strong>=<em><code>(0.01, 0.5)</code></em>, <strong><code>max_pihat_range</code></strong>=<em><code>(0.95, 0.999)</code></em>, <strong><code>max_iter_per_param</code></strong>=<em><code>5</code></em>, <strong><code>min_users_per_group</code></strong>=<em><code>1000</code></em>, <strong><code>smd_cols</code></strong>=<em><code>['pihat']</code></em>, <strong><code>dev_cols_transformations</code></strong>=<em><code>{'pihat': &lt;function mean at 0x7f2df4101e18&gt;}</code></em>, <strong><code>dev_factor</code></strong>=<em><code>1.0</code></em>, <strong><code>verbose</code></strong>=<em><code>True</code></em>)</p>
 </blockquote>
 
 </div>