diff --git a/Band_Analysis.ipynb b/Band_Analysis.ipynb index 1230be6..34e401a 100644 --- a/Band_Analysis.ipynb +++ b/Band_Analysis.ipynb @@ -29,13 +29,13 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 2, "id": "2460511a-36de-4287-af7e-2394ca7be62e", "metadata": {}, "outputs": [], "source": [ "# Create our dataset, and split into training and test data\n", - "(x, y) = band.make_dataset(1000)\n", + "(x, y) = band.make_dataset(10000)\n", "\n", "x_train, x_test, y_train, y_test = train_test_split(\n", " x, \n", @@ -52,7 +52,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 3, "id": "a1b68d17-680b-41bc-a7ef-be58f1d0fb7a", "metadata": {}, "outputs": [ @@ -66,7 +66,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "ba5768eebe0549a1bb902e5da5ea035e", + "model_id": "e77271bd41bb46769e7de22298bb2c1c", "version_major": 2, "version_minor": 0 }, @@ -132,7 +132,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "id": "210f5f4d-44b7-47be-a790-b340d8e880bc", "metadata": {}, "outputs": [ @@ -146,7 +146,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "757c912d9f394d67913091496a3cd544", + "model_id": "f4afd7a5ede648369895e986ce32e557", "version_major": 2, "version_minor": 0 }, @@ -202,45 +202,23 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "id": "0766c958-71d9-4629-86ff-4b9c9e3c1e06", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Found 140 param instances\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "14115b1b3b4946cfb6f22e53825b1028", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "IntProgress(value=0, max=1400)" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# Grid Search for WeightedForestClassifier\n", "\n", "# Generate Parameter sweep\n", "bf_sweep_config = {\n", " \"bf_params\": {\n", - " \"n_estimators\": [100, 75, 50, 35, 10, 5, 1],\n", - " \"max_features\": [1, 2],\n", + " \"n_estimators\": [200, 150, 100, 75, 50, 35, 10, 5, 1],\n", + " \"max_features\": [1],\n", " \"criterion\": ['gini', 'entropy'],\n", " \"max_depth\": [100, 150, 200, 250, 300],\n", " \"replacement\": [True], \n", " \"bootstrap\": [False],\n", - " \"sampling_strategy\": [\"all\"],\n", + " \"sampling_strategy\": [\"not minority\"],\n", " }\n", "}\n", "bf_sweep_parameters = param_sweep.generate(bf_sweep_config)\n", @@ -271,20 +249,10 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": null, "id": "f48727bb-c328-4d98-860b-bb94f2a9f0fe", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "rf_f: {'tp': (0.7, 0.6403124237432849), 'tn': (56.8, 1.0770329614269007), 'fp': (0.7, 0.7810249675906655), 'fn': (1.8, 0.7483314773547883), 'tnr': (0.9877797943133697, 0.01367947057931672), 'tpr': (0.2833333333333333, 0.2477678124553084), 'fpr': (0.01222020568663037, 0.013679470579316717), 'g_mean': (0.40617234056738116, 0.33761890082755575), 'precision': (0.4333333333333333, 0.41633319989322654), 'f_measure': (0.3238095238095238, 0.2789273265829994), 'score': (0.9583333333333333, 0.01707825127659932)}, {'rf_params': {'n_estimators': 5, 'max_features': 2, 'criterion': 'gini', 'max_depth': 300, 'class_weight': None}}\n", - "wf_f: {'tp': (0.9, 0.5385164807134505), 'tn': (57.0, 0.6324555320336759), 'fp': (0.5, 0.6708203932499369), 'fn': (1.6, 0.66332495807108), 'tnr': (0.9913490623109498, 0.01158874775603018), 'tpr': (0.36666666666666664, 0.20816659994661327), 'fpr': (0.008650937689050212, 0.01158874775603018), 'g_mean': (0.5353466928298202, 0.2773077404701349), 'precision': (0.6333333333333333, 0.39999999999999997), 'f_measure': (0.44333333333333336, 0.25168322241350227), 'score': (0.9649999999999999, 0.013844373104863457)}, {'wf_params': {'n_estimators': 1, 'max_features': 2, 'criterion': 'gini', 'max_depth': 300, 'class_weight': 'balanced'}}\n", - "bf_f: {'tp': (1.9, 1.044030650891055), 'tn': (48.1, 1.3), 'fp': (9.4, 1.2), 'fn': (0.6, 0.66332495807108), 'tnr': (0.8365093768905021, 0.02097052799189251), 'tpr': (0.7166666666666666, 0.3253203549323856), 'fpr': (0.16349062310949788, 0.020970527991892515), 'g_mean': (0.7256881568849002, 0.26734074291565657), 'precision': (0.16195027195027195, 0.08134705203438863), 'f_measure': (0.2629437229437229, 0.12835409503065084), 'score': (0.8333333333333334, 0.021081851067789183)}, {'bf_params': {'n_estimators': 50, 'max_features': 1, 'criterion': 'gini', 'max_depth': 300, 'replacement': True, 'bootstrap': False, 'sampling_strategy': 'all'}}\n" - ] - } - ], + "outputs": [], "source": [ "# Find the best for precision and f measure of the three\n", "rf_f_i = fp.find_best_index(rf_metric_stats, \"f_measure\")\n", @@ -304,7 +272,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": null, "id": "29a39e18-5b4b-4e55-8813-14bf6c11b806", "metadata": {}, "outputs": [], @@ -328,7 +296,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": null, "id": "1daf63a5-bea4-4c80-9f96-5ffc3b27506d", "metadata": {}, "outputs": [], @@ -385,41 +353,10 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": null, "id": "11ac2c66-2bb7-4cb9-83f6-920021657c98", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Zoom plot aspect ratio (Adjust height_ratio until this is ~1): 1.000369027777778\n", - "tp: (2, 2), tn: (378, 2), fp: (5, 2), fn: (15, 2)\n", - "tp: (6, 2), tn: (378, 2), fp: (5, 2), fn: (11, 2)\n", - "tp: (10, 2), tn: (314, 2), fp: (69, 2), fn: (7, 2)\n" - ] - }, - { - "data": { - "text/plain": [ - "Text(0.5, 0.98, 'Hyper Parameter Tuning Results')" - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# For plotting the decision boundary\n", "cm = plt.cm.RdBu\n", @@ -488,22 +425,6 @@ "\n", "fig.suptitle(f\"Hyper Parameter Tuning Results\")\n" ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "ec51cfc2-7d17-4f58-8c43-326ee0545fcf", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "5e55c8a5-2efa-42b9-8fa5-87fda3a880cf", - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { diff --git a/PHM08_Analysis.ipynb b/PHM08_Analysis.ipynb index 6dcd406..6a0c16a 100644 --- a/PHM08_Analysis.ipynb +++ b/PHM08_Analysis.ipynb @@ -57,7 +57,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "b153749e422d45e38df852809960bbe7", + "model_id": "11b93dac74734451a4adedfb233e3d9a", "version_major": 2, "version_minor": 0 }, @@ -106,7 +106,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "id": "2ed01597-44a2-4354-9719-f6690fc90afc", "metadata": {}, "outputs": [ @@ -114,18 +114,18 @@ "name": "stdout", "output_type": "stream", "text": [ - "Found 2040 param instances\n" + "Found 1440 param instances\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "abc1428283d34fa4beef44f96cba775e", + "model_id": "6f225bfe49f44b3ca44b98df44d60be3", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "IntProgress(value=0, max=20400)" + "IntProgress(value=0, max=14400)" ] }, "metadata": {}, @@ -134,7 +134,7 @@ ], "source": [ "# Grid Search for WeightedForestClassifier\n", - "class_weights = [{0:x, 1:(1 - x)} for x in np.linspace(0.0, 1.0, num=15)]\n", + "class_weights = [{0:x, 1:(1 - x)} for x in np.linspace(0.0, 1.0, num=10)]\n", "class_weights.append('balanced')\n", "class_weights.append('balanced_subsample')\n", "wf_sweep_config = {\n", @@ -172,32 +172,10 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "id": "4c1a4ff2-aa5b-44e3-8ca1-2060a680bee9", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Found 120 param instances\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "82729580c5774c468e06ca93d3d3c159", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "IntProgress(value=0, max=1200)" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# Grid Search for BalancedRandomForestClassifier\n", "bf_sweep_config = {\n", @@ -205,9 +183,9 @@ " \"n_jobs\": [8],\n", " \"replacement\": [True], \n", " \"bootstrap\": [False],\n", - " \"sampling_strategy\": ['all'],\n", + " \"sampling_strategy\": ['not minority'],\n", " \"n_estimators\": [200, 100, 50, 10],\n", - " \"max_features\": [25, 10, 5, 2, 1],\n", + " \"max_features\": [10, 5, 2, 1],\n", " \"criterion\": ['entropy', 'gini'],\n", " \"max_depth\": [10, 100, 200],\n", " }\n", @@ -237,20 +215,10 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "id": "5da53b28-158e-49f3-b626-5bad11cd1f9c", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "rf_f: {'tp': (4.1, 1.3), 'tn': (4191.4, 214.9600893189245), 'fp': (1.7, 1.004987562112089), 'fn': (15.9, 1.3), 'tnr': (0.9995999255045586, 0.00023668736935102488), 'tpr': (0.205, 0.06499999999999999), 'fpr': (0.0004000744954413271, 0.0002366873693510183), 'g_mean': (0.44610284658798005, 0.07689757941173202), 'precision': (0.7082142857142857, 0.17792776853635447), 'f_measure': (0.31452910052910055, 0.09066582496805715), 'score': (0.9958213719736161, 0.0003861825366142633)}, {'rf_params': {'n_jobs': 8, 'n_estimators': 50, 'max_features': 25, 'criterion': 'entropy', 'max_depth': 100, 'class_weight': None}}\n", - "wf_f: {'tp': (11.9, 2.0712315177207983), 'tn': (4163.6, 210.51565262469202), 'fp': (29.5, 7.406078584514209), 'fn': (8.1, 2.0712315177207983), 'tnr': (0.9930067850514035, 0.0014819920428658512), 'tpr': (0.595, 0.10356157588603988), 'fpr': (0.006993214948596537, 0.001481992042865857), 'g_mean': (0.7657845199178952, 0.06674574897217823), 'precision': (0.2942717137090486, 0.06377939143136237), 'f_measure': (0.39180204450867184, 0.0765247399867735), 'score': (0.9911128462730779, 0.0016294641038214366)}, {'wf_params': {'n_jobs': 8, 'n_estimators': 200, 'max_features': 2, 'criterion': 'entropy', 'max_depth': 10, 'class_weight': 'balanced'}}\n", - "bf_f: {'tp': (18.7, 1.004987562112089), 'tn': (4010.9, 192.64550345128745), 'fp': (182.2, 25.69357896440276), 'fn': (1.3, 1.004987562112089), 'tnr': (0.9567115421113999, 0.004185976378629247), 'tpr': (0.9349999999999999, 0.05024937810560445), 'fpr': (0.04328845788860025, 0.004185976378629239), 'g_mean': (0.9454084274485283, 0.024399393314031424), 'precision': (0.09427885186680812, 0.009794233762529537), 'f_measure': (0.17105625693349744, 0.016112940480920095), 'score': (0.9566055106320193, 0.004009913110250011)}, {'bf_params': {'n_jobs': 8, 'replacement': True, 'bootstrap': False, 'sampling_strategy': 'all', 'n_estimators': 10, 'max_features': 10, 'criterion': 'gini', 'max_depth': 10}}\n" - ] - } - ], + "outputs": [], "source": [ "rf_f_i = fp.find_best_index(rf_metric_stats, \"f_measure\")\n", "rf_p_i = fp.find_best_index(rf_metric_stats, \"precision\")\n", @@ -269,30 +237,16 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "id": "0128a670-2317-4cce-911c-00b5d280ab5c", "metadata": {}, - "outputs": [ - { - "ename": "ValueError", - "evalue": "Classification metrics can't handle a mix of continuous-multioutput and binary targets", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[7], line 5\u001b[0m\n\u001b[1;32m 3\u001b[0m rf_test_clf \u001b[38;5;241m=\u001b[39m RandomForestClassifier(\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mrf_sweep_parameters[rf_f_i][\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrf_params\u001b[39m\u001b[38;5;124m\"\u001b[39m])\n\u001b[1;32m 4\u001b[0m rf_test_clf\u001b[38;5;241m.\u001b[39mfit(x_train, y_train)\n\u001b[0;32m----> 5\u001b[0m (_, rf_labels, rf_metrics) \u001b[38;5;241m=\u001b[39m \u001b[43mfp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mscore_classifier\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrf_test_clf\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mx_test\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my_test\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 8\u001b[0m wf_test_clf \u001b[38;5;241m=\u001b[39m RandomForestClassifier(\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mwf_sweep_parameters[wf_f_i][\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mwf_params\u001b[39m\u001b[38;5;124m\"\u001b[39m])\n\u001b[1;32m 9\u001b[0m wf_test_clf\u001b[38;5;241m.\u001b[39mfit(x_train, y_train)\n", - "File \u001b[0;32m~/projects/courses/cse5819/cse5819-FinalProject/fp.py:47\u001b[0m, in \u001b[0;36mscore_classifier\u001b[0;34m(clf, x, y)\u001b[0m\n\u001b[1;32m 46\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mscore_classifier\u001b[39m(clf, x, y):\n\u001b[0;32m---> 47\u001b[0m score \u001b[38;5;241m=\u001b[39m \u001b[43mclf\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mscore\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 48\u001b[0m (m, _) \u001b[38;5;241m=\u001b[39m x\u001b[38;5;241m.\u001b[39mshape\n\u001b[1;32m 49\u001b[0m p \u001b[38;5;241m=\u001b[39m clf\u001b[38;5;241m.\u001b[39mpredict(x)\n", - "File \u001b[0;32m~/.config/python_venv/lib/python3.10/site-packages/sklearn/base.py:764\u001b[0m, in \u001b[0;36mClassifierMixin.score\u001b[0;34m(self, X, y, sample_weight)\u001b[0m\n\u001b[1;32m 739\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 740\u001b[0m \u001b[38;5;124;03mReturn the mean accuracy on the given test data and labels.\u001b[39;00m\n\u001b[1;32m 741\u001b[0m \n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 760\u001b[0m \u001b[38;5;124;03m Mean accuracy of ``self.predict(X)`` w.r.t. `y`.\u001b[39;00m\n\u001b[1;32m 761\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 762\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mmetrics\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m accuracy_score\n\u001b[0;32m--> 764\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43maccuracy_score\u001b[49m\u001b[43m(\u001b[49m\u001b[43my\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpredict\u001b[49m\u001b[43m(\u001b[49m\u001b[43mX\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msample_weight\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msample_weight\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m~/.config/python_venv/lib/python3.10/site-packages/sklearn/utils/_param_validation.py:213\u001b[0m, in \u001b[0;36mvalidate_params..decorator..wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 207\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 208\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m config_context(\n\u001b[1;32m 209\u001b[0m skip_parameter_validation\u001b[38;5;241m=\u001b[39m(\n\u001b[1;32m 210\u001b[0m prefer_skip_nested_validation \u001b[38;5;129;01mor\u001b[39;00m global_skip_validation\n\u001b[1;32m 211\u001b[0m )\n\u001b[1;32m 212\u001b[0m ):\n\u001b[0;32m--> 213\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 214\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m InvalidParameterError \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m 215\u001b[0m \u001b[38;5;66;03m# When the function is just a wrapper around an estimator, we allow\u001b[39;00m\n\u001b[1;32m 216\u001b[0m \u001b[38;5;66;03m# the function to delegate validation to the estimator, but we replace\u001b[39;00m\n\u001b[1;32m 217\u001b[0m \u001b[38;5;66;03m# the name of the estimator by the name of the function in the error\u001b[39;00m\n\u001b[1;32m 218\u001b[0m \u001b[38;5;66;03m# message to avoid confusion.\u001b[39;00m\n\u001b[1;32m 219\u001b[0m msg \u001b[38;5;241m=\u001b[39m re\u001b[38;5;241m.\u001b[39msub(\n\u001b[1;32m 220\u001b[0m \u001b[38;5;124mr\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mparameter of \u001b[39m\u001b[38;5;124m\\\u001b[39m\u001b[38;5;124mw+ must be\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 221\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mparameter of \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfunc\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__qualname__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m must be\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 222\u001b[0m \u001b[38;5;28mstr\u001b[39m(e),\n\u001b[1;32m 223\u001b[0m )\n", - "File \u001b[0;32m~/.config/python_venv/lib/python3.10/site-packages/sklearn/metrics/_classification.py:213\u001b[0m, in \u001b[0;36maccuracy_score\u001b[0;34m(y_true, y_pred, normalize, sample_weight)\u001b[0m\n\u001b[1;32m 147\u001b[0m \u001b[38;5;124;03m\"\"\"Accuracy classification score.\u001b[39;00m\n\u001b[1;32m 148\u001b[0m \n\u001b[1;32m 149\u001b[0m \u001b[38;5;124;03mIn multilabel classification, this function computes subset accuracy:\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 209\u001b[0m \u001b[38;5;124;03m0.5\u001b[39;00m\n\u001b[1;32m 210\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 212\u001b[0m \u001b[38;5;66;03m# Compute accuracy for each possible representation\u001b[39;00m\n\u001b[0;32m--> 213\u001b[0m y_type, y_true, y_pred \u001b[38;5;241m=\u001b[39m \u001b[43m_check_targets\u001b[49m\u001b[43m(\u001b[49m\u001b[43my_true\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my_pred\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 214\u001b[0m check_consistent_length(y_true, y_pred, sample_weight)\n\u001b[1;32m 215\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m y_type\u001b[38;5;241m.\u001b[39mstartswith(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmultilabel\u001b[39m\u001b[38;5;124m\"\u001b[39m):\n", - "File \u001b[0;32m~/.config/python_venv/lib/python3.10/site-packages/sklearn/metrics/_classification.py:94\u001b[0m, in \u001b[0;36m_check_targets\u001b[0;34m(y_true, y_pred)\u001b[0m\n\u001b[1;32m 91\u001b[0m y_type \u001b[38;5;241m=\u001b[39m {\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmulticlass\u001b[39m\u001b[38;5;124m\"\u001b[39m}\n\u001b[1;32m 93\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(y_type) \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m1\u001b[39m:\n\u001b[0;32m---> 94\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m 95\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mClassification metrics can\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mt handle a mix of \u001b[39m\u001b[38;5;132;01m{0}\u001b[39;00m\u001b[38;5;124m and \u001b[39m\u001b[38;5;132;01m{1}\u001b[39;00m\u001b[38;5;124m targets\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mformat(\n\u001b[1;32m 96\u001b[0m type_true, type_pred\n\u001b[1;32m 97\u001b[0m )\n\u001b[1;32m 98\u001b[0m )\n\u001b[1;32m 100\u001b[0m \u001b[38;5;66;03m# We can't have more than one value on y_type => The set is no more needed\u001b[39;00m\n\u001b[1;32m 101\u001b[0m y_type \u001b[38;5;241m=\u001b[39m y_type\u001b[38;5;241m.\u001b[39mpop()\n", - "\u001b[0;31mValueError\u001b[0m: Classification metrics can't handle a mix of continuous-multioutput and binary targets" - ] - } - ], + "outputs": [], "source": [ "(x_test, y_test) = phm08_data.get_test_data()\n", "\n", + "# Train our best models on all training data\n", + "(x_train, y_train) = phm08_data.get_train_data()\n", + "\n", "rf_test_clf = RandomForestClassifier(**rf_sweep_parameters[rf_f_i][\"rf_params\"])\n", "rf_test_clf.fit(x_train, y_train)\n", "(_, rf_labels, rf_metrics) = fp.score_classifier(rf_test_clf, x_test, y_test)\n", @@ -310,7 +264,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "id": "53e1f6aa-99ef-4cde-9e98-ef4a77cafbeb", "metadata": {}, "outputs": [], @@ -333,38 +287,10 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "id": "8cd69819-b109-4b6a-b820-56f8487bf383", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Zoom plot aspect ratio (Adjust height_ratio until this is ~1): 1.1319\n" - ] - }, - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "width = 12\n", "height_ratio = 0.3\n", diff --git a/phm08.py b/phm08.py index bc533d5..5ef3ff9 100644 --- a/phm08.py +++ b/phm08.py @@ -98,7 +98,15 @@ def get_test_data(self): x_test = np.concatenate(x_series, axis = 0) y_test = np.concatenate(x_series, axis = 0) return (x_test, y_test) - + + # Returns all 200 series reserved for training. + def get_train_data(self): + x_series = [self.series[i][0] for i in range(0, 200)] + y_series = [self.series[i][1] for i in range(0, 200)] + x_test = np.concatenate(x_series, axis = 0) + y_test = np.concatenate(x_series, axis = 0) + return (x_test, y_test) +