Update documentation

pegasystems · Oct 8, 2024 · b8d2706 · b8d2706
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diff --git a/Python/_images/articles_AGBModelVisualisation_31_0.png b/Python/_images/articles_AGBModelVisualisation_31_0.png
diff --git a/Python/_images/articles_pdstoolsv3_16_0.svg b/Python/_images/articles_pdstoolsv3_16_0.svg
diff --git a/Python/_images/articles_pdstoolsv3_6_0.svg b/Python/_images/articles_pdstoolsv3_6_0.svg
diff --git a/Python/_images/articles_pdstoolsv3_8_0.svg b/Python/_images/articles_pdstoolsv3_8_0.svg
diff --git a/Python/_sources/articles/thompsonsampling.ipynb.txt b/Python/_sources/articles/thompsonsampling.ipynb.txt
@@ -79,9 +79,9 @@
                 "\n",
                 "# Convergence of the Thompson Sampled propensities\n",
                 "s = thompsonSamplingSimulation['positives']\n",
-                "thompsonSamplingSimulation2 = thompsonSamplingSimulation.hstack(s.cut(breaks=np.array(range(int(s.min()), int(s.max())+20, 20))-1, series=False).select(bin='category'))\n",
+                "thompsonSamplingSimulation2 = thompsonSamplingSimulation.hstack([s.cut(breaks=np.array(range(int(s.min()), int(s.max())+20, 20))-1).rename(\"bin\")])\n",
                 "s = thompsonSamplingSimulation2.group_by(\"p\", \"bin\").agg(\n",
-                "    n=pl.count(),\n",
+                "    n=pl.len(),\n",
                 "    n90=(((pl.col(\"sampled_propensity\") - pl.col(\"p\")) / pl.col(\"p\")) < 0.1).sum(),\n",
                 "    positives=pl.min(\"positives\"),\n",
                 ").with_columns(pct=pl.col('n90')/pl.col('n')).sort('p', 'bin').with_columns(pl.col('p').cast(pl.Utf8).cast(pl.Categorical))\n",
@@ -194,7 +194,7 @@
                 "                        pl.lit(1.0),\n",
                 "                        (\n",
                 "                            pl.lit(ncust)\n",
-                "                            / pl.col(\"impressions\").where(pl.col(\"week\") == w).sum()\n",
+                "                            / pl.col(\"impressions\").filter(pl.col(\"week\") == w).sum()\n",
                 "                        ),\n",
                 "                    ]\n",
                 "                )\n",