Merge pull request #253 from IFCA/fix-doc-examples-hypothesis-test

Fix doc examples hypothesis test

Author: Jaime Céspedes Sisniega

docs/source/examples/data_drift/MMD_advance.ipynb

@@ -956,7 +956,7 @@
     "    mmd, callbacks_logs = detector.compare(X=sample)\n",
     "    permutation_test_logs[type_] = copy.copy(callbacks_logs[\"permutation_test\"])\n",
     "    mmd, p_value = mmd.distance, callbacks_logs[\"permutation_test\"][\"p_value\"]\n",
-    "    print(f\"{type_}:\\n  MMD statistic={round(mmd, 4)}, p-value={round(p_value, 4)}, drift={p_value < alpha}\")"
+    "    print(f\"{type_}:\\n  MMD statistic={round(mmd, 4)}, p-value={round(p_value, 4)}, drift={p_value <= alpha}\")"
    ],
    "metadata": {
     "collapsed": false,
@@ -1014,7 +1014,7 @@
     "    ax.plot(xs, permutation_tests_density, label=\"KDE\")\n",
     "    ax.axvline(observed_statistic, color=\"green\", linestyle=\"--\", label=\"Observed distance\")\n",
     "    ax.set_title(type_)\n",
-    "    drift = p_value < alpha\n",
+    "    drift = p_value <= alpha\n",
     "    ax.text(0.88, 0.15, \"Drift\" if drift else \"No drift\", transform=ax.transAxes, fontsize=12, bbox={\"boxstyle\": \"round\", \"facecolor\": \"red\" if drift else \"green\", \"alpha\":0.5})\n",
     "\n",
     "    # Get the y limit\n",

docs/source/examples/data_drift/MMD_simple.ipynb

@@ -306,7 +306,7 @@
    ],
    "source": [
     "print(f\"MMD statistic={round(mmd.distance, 3)}, p-value={round(p_value, 3)}\")\n",
-    "if p_value < alpha:\n",
+    "if p_value <= alpha:\n",
     "    print(\"Drift detected. We can reject H0, so both samples come from different distributions.\")\n",
     "else:\n",
     "    print(\"No drift detected. We fail to reject H0, so both samples come from the same distribution.\")"

docs/source/examples/data_drift/multivariate_detector.ipynb

@@ -252,7 +252,7 @@
     "_, callback_logs = detector.compare(X=X_test)\n",
     "p_value = callback_logs[\"permutation_test\"][\"p_value\"]\n",
     "print(f\"p-value: {round(p_value, 4)}\")\n",
-    "if p_value < alpha:\n",
+    "if p_value <= alpha:\n",
     "    print(\"Data drift detected\")\n",
     "else:\n",
     "    print(\"No data drift detected\")\n",
@@ -352,7 +352,7 @@
     "_, callback_logs = detector.compare(X=X_test_noise)\n",
     "p_value = callback_logs[\"permutation_test\"][\"p_value\"]\n",
     "print(f\"p-value: {round(p_value, 4)}\")\n",
-    "if p_value < alpha:\n",
+    "if p_value <= alpha:\n",
     "    print(\"Data drift detected\")\n",
     "else:\n",
     "    print(\"No data drift detected\")\n",

docs/source/examples/data_drift/univariate_detector.ipynb

@@ -204,7 +204,7 @@
     "    print(f\"Feature {i+1}:\")\n",
     "    p_value = detector.compare(X=X_test[:, i])[0].p_value\n",
     "    print(f\"\\tp-value: {round(p_value, 4)}\")\n",
-    "    if p_value < alpha:\n",
+    "    if p_value <= alpha:\n",
     "        print(\"\\tData drift detected\\n\")\n",
     "    else:\n",
     "        print(\"\\tNo data drift detected\\n\")\n",
@@ -265,7 +265,7 @@
     "    print(f\"Feature {i}:\")\n",
     "    p_value = detector.compare(X=X_test_noise[:, i])[0].p_value\n",
     "    print(f\"\\tp-value: {round(p_value, 4)}\")\n",
-    "    if p_value < alpha:\n",
+    "    if p_value <= alpha:\n",
     "        print(\"\\tData drift detected\\n\")\n",
     "    else:\n",
     "        print(\"\\tNo data drift detected\\n\")\n",
@@ -335,7 +335,7 @@
     "    print(f\"Feature {i}:\")\n",
     "    p_value = detector.compare(X=X_test_noise[:, i])[0].p_value\n",
     "    print(f\"\\tp-value: {round(p_value, 4)}\")\n",
-    "    if p_value < alpha:\n",
+    "    if p_value <= alpha:\n",
     "        print(\"\\tData drift detected\\n\")\n",
     "    else:\n",
     "        print(\"\\tNo data drift detected\\n\")\n",