diff --git a/financial_payment_classification.ipynb b/financial_payment_classification.ipynb index b034e1c..1d32fd0 100644 --- a/financial_payment_classification.ipynb +++ b/financial_payment_classification.ipynb @@ -306,113 +306,113 @@ " \n", " \n", " \n", - " 47177\n", + " 35092\n", " Shopping\n", - " 4968649149775898\n", - " 4609072304828342\n", - " 73.83\n", - " 2021-04-01 22:43:20\n", + " 4449369093650679\n", + " 4778391406636584\n", + " 190.96\n", + " 2021-01-10 10:31:30\n", " \n", " \n", - " 41438\n", - " Shopping\n", - " 4062842148144233\n", - " 4878939591031620\n", - " 119.59\n", - " 2021-04-04 18:44:32\n", + " 70144\n", + " Bills and Utilities\n", + " 4419127370593376\n", + " 4568860010052937\n", + " 7.15\n", + " 2021-01-11 19:13:36\n", " \n", " \n", - " 44521\n", - " Shopping\n", - " 4462624220516819\n", - " 4602386441721138\n", - " 123.81\n", - " 2021-04-04 16:38:48\n", + " 11607\n", + " Entertainment\n", + " 4052325679412775\n", + " 4886207452664883\n", + " 26.10\n", + " 2021-04-25 21:09:54\n", " \n", " \n", - " 8630\n", + " 8677\n", " Entertainment\n", - " 4770991682847140\n", - " 4061703683147422\n", - " 75.00\n", - " 2021-02-14 19:53:54\n", + " 4146991665749724\n", + " 4484564894518994\n", + " 82.07\n", + " 2021-02-27 23:21:54\n", " \n", " \n", - " 48998\n", - " Shopping\n", - " 4419770343842824\n", - " 4524197287781218\n", - " 79.45\n", - " 2021-01-12 23:27:43\n", + " 52661\n", + " Health and Fitness\n", + " 4085020320969650\n", + " 4412524886191272\n", + " 196.82\n", + " 2021-01-11 10:25:08\n", " \n", " \n", - " 30235\n", - " Shopping\n", - " 4928680229033121\n", - " 4538132326549460\n", - " 43.07\n", - " 2021-04-12 11:03:14\n", + " 92692\n", + " Travel\n", + " 4250652134998357\n", + " 4859762416651197\n", + " 368.35\n", + " 2021-01-12 12:02:25\n", " \n", " \n", - " 50088\n", - " Personal Care\n", - " 4827290622904985\n", - " 4751069512790625\n", - " 37.77\n", - " 2021-01-14 18:20:44\n", + " 68488\n", + " Investments\n", + " 4649465390130221\n", + " 4718361188729728\n", + " 8468.55\n", + " 2021-01-05 15:34:07\n", " \n", " \n", - " 36649\n", + " 29134\n", " Shopping\n", - " 4721686963010836\n", - " 4939040219765629\n", - " 131.13\n", - " 2021-04-24 16:29:56\n", + " 4076147512691585\n", + " 4427561275309035\n", + " 116.84\n", + " 2021-02-15 20:25:00\n", " \n", " \n", - " 32358\n", - " Shopping\n", - " 4809205213807274\n", - " 4544332332005588\n", - " 110.79\n", - " 2021-04-26 07:20:06\n", + " 87164\n", + " Auto and Transport\n", + " 4584998335559473\n", + " 4138682268863182\n", + " 110.64\n", + " 2021-04-01 09:13:05\n", " \n", " \n", - " 58131\n", - " Food and Dining\n", - " 4236560987578557\n", - " 4629183456621801\n", - " 216.96\n", - " 2021-01-15 17:44:36\n", + " 83613\n", + " Auto and Transport\n", + " 4627849002038847\n", + " 4326612454555948\n", + " 88.87\n", + " 2021-03-15 10:04:38\n", " \n", " \n", "\n", "" ], "text/plain": [ - " transaction_category receiver_id sender_id amount \\\n", - "47177 Shopping 4968649149775898 4609072304828342 73.83 \n", - "41438 Shopping 4062842148144233 4878939591031620 119.59 \n", - "44521 Shopping 4462624220516819 4602386441721138 123.81 \n", - "8630 Entertainment 4770991682847140 4061703683147422 75.00 \n", - "48998 Shopping 4419770343842824 4524197287781218 79.45 \n", - "30235 Shopping 4928680229033121 4538132326549460 43.07 \n", - "50088 Personal Care 4827290622904985 4751069512790625 37.77 \n", - "36649 Shopping 4721686963010836 4939040219765629 131.13 \n", - "32358 Shopping 4809205213807274 4544332332005588 110.79 \n", - "58131 Food and Dining 4236560987578557 4629183456621801 216.96 \n", + " transaction_category receiver_id sender_id amount \\\n", + "35092 Shopping 4449369093650679 4778391406636584 190.96 \n", + "70144 Bills and Utilities 4419127370593376 4568860010052937 7.15 \n", + "11607 Entertainment 4052325679412775 4886207452664883 26.10 \n", + "8677 Entertainment 4146991665749724 4484564894518994 82.07 \n", + "52661 Health and Fitness 4085020320969650 4412524886191272 196.82 \n", + "92692 Travel 4250652134998357 4859762416651197 368.35 \n", + "68488 Investments 4649465390130221 4718361188729728 8468.55 \n", + "29134 Shopping 4076147512691585 4427561275309035 116.84 \n", + "87164 Auto and Transport 4584998335559473 4138682268863182 110.64 \n", + "83613 Auto and Transport 4627849002038847 4326612454555948 88.87 \n", "\n", " timestamp \n", - "47177 2021-04-01 22:43:20 \n", - "41438 2021-04-04 18:44:32 \n", - "44521 2021-04-04 16:38:48 \n", - "8630 2021-02-14 19:53:54 \n", - "48998 2021-01-12 23:27:43 \n", - "30235 2021-04-12 11:03:14 \n", - "50088 2021-01-14 18:20:44 \n", - "36649 2021-04-24 16:29:56 \n", - "32358 2021-04-26 07:20:06 \n", - "58131 2021-01-15 17:44:36 " + "35092 2021-01-10 10:31:30 \n", + "70144 2021-01-11 19:13:36 \n", + "11607 2021-04-25 21:09:54 \n", + "8677 2021-02-27 23:21:54 \n", + "52661 2021-01-11 10:25:08 \n", + "92692 2021-01-12 12:02:25 \n", + "68488 2021-01-05 15:34:07 \n", + "29134 2021-02-15 20:25:00 \n", + "87164 2021-04-01 09:13:05 \n", + "83613 2021-03-15 10:04:38 " ] }, "execution_count": 7, @@ -606,12 +606,12 @@ "data": { "text/plain": [ "{'FeatureGroupArn': 'arn:aws:sagemaker:us-east-2:934638699319:feature-group/feature-group-payment-classification',\n", - " 'ResponseMetadata': {'RequestId': '32eefc0a-1d32-4ce8-9801-715d94cff910',\n", + " 'ResponseMetadata': {'RequestId': '226e1b5f-393e-466f-ad45-b0d2e74b7eab',\n", " 'HTTPStatusCode': 200,\n", - 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"INFO:sagemaker:Creating training-job with name: sagemaker-xgboost-2024-02-12-13-21-36-187\n" + "INFO:sagemaker:Creating training-job with name: sagemaker-xgboost-2024-02-13-08-29-45-600\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2024-02-12 13:21:36 Starting - Starting the training job...\n", - "2024-02-12 13:21:52 Starting - Preparing the instances for training......\n", - "2024-02-12 13:22:57 Downloading - Downloading input data......\n", - "2024-02-12 13:23:37 Downloading - Downloading the training image...\n", - "2024-02-12 13:24:23 Training - Training image download completed. Training in progress....\u001b[34m[2024-02-12 13:24:37.269 ip-10-0-177-37.us-east-2.compute.internal:7 INFO utils.py:27] RULE_JOB_STOP_SIGNAL_FILENAME: None\u001b[0m\n", - "\u001b[34m[2024-02-12:13:24:37:INFO] Imported framework sagemaker_xgboost_container.training\u001b[0m\n", - "\u001b[34m[2024-02-12:13:24:37:INFO] Failed to parse hyperparameter objective value multi:softprob to Json.\u001b[0m\n", + "2024-02-13 08:29:45 Starting - Starting the training job...\n", + "2024-02-13 08:30:00 Starting - Preparing the instances for training......\n", + "2024-02-13 08:31:05 Downloading - Downloading input data...\n", + "2024-02-13 08:31:45 Downloading - Downloading the training image......\n", + "2024-02-13 08:32:35 Training - Training image download completed. Training in progress...\u001b[34m[2024-02-13 08:32:46.926 ip-10-0-78-133.us-east-2.compute.internal:7 INFO utils.py:27] RULE_JOB_STOP_SIGNAL_FILENAME: None\u001b[0m\n", + "\u001b[34m[2024-02-13:08:32:46:INFO] Imported framework sagemaker_xgboost_container.training\u001b[0m\n", + "\u001b[34m[2024-02-13:08:32:46:INFO] Failed to parse hyperparameter objective value multi:softprob to Json.\u001b[0m\n", "\u001b[34mReturning the value itself\u001b[0m\n", - "\u001b[34m[2024-02-12:13:24:37:INFO] No GPUs detected (normal if no gpus installed)\u001b[0m\n", - "\u001b[34m[2024-02-12:13:24:37:INFO] Running XGBoost Sagemaker in algorithm mode\u001b[0m\n", - "\u001b[34m[2024-02-12:13:24:37:INFO] Determined delimiter of CSV input is ','\u001b[0m\n", - "\u001b[34m[2024-02-12:13:24:37:INFO] Determined delimiter of CSV input is ','\u001b[0m\n", - "\u001b[34m[2024-02-12:13:24:37:INFO] Determined delimiter of CSV input is ','\u001b[0m\n", - "\u001b[34m[2024-02-12:13:24:37:INFO] Determined delimiter of CSV input is ','\u001b[0m\n", - "\u001b[34m[2024-02-12:13:24:37:INFO] Single node training.\u001b[0m\n", - "\u001b[34m[2024-02-12:13:24:37:INFO] Train matrix has 69997 rows and 28 columns\u001b[0m\n", - "\u001b[34m[2024-02-12:13:24:37:INFO] Validation matrix has 20000 rows\u001b[0m\n", - "\u001b[34m[2024-02-12 13:24:37.624 ip-10-0-177-37.us-east-2.compute.internal:7 INFO json_config.py:91] Creating hook from json_config at /opt/ml/input/config/debughookconfig.json.\u001b[0m\n", - "\u001b[34m[2024-02-12 13:24:37.624 ip-10-0-177-37.us-east-2.compute.internal:7 INFO hook.py:201] tensorboard_dir has not been set for the hook. SMDebug will not be exporting tensorboard summaries.\u001b[0m\n", - "\u001b[34m[2024-02-12 13:24:37.625 ip-10-0-177-37.us-east-2.compute.internal:7 INFO profiler_config_parser.py:102] User has disabled profiler.\u001b[0m\n", - "\u001b[34m[2024-02-12 13:24:37.625 ip-10-0-177-37.us-east-2.compute.internal:7 INFO hook.py:255] Saving to /opt/ml/output/tensors\u001b[0m\n", - "\u001b[34m[2024-02-12 13:24:37.626 ip-10-0-177-37.us-east-2.compute.internal:7 INFO state_store.py:77] The checkpoint config file /opt/ml/input/config/checkpointconfig.json does not exist.\u001b[0m\n", - "\u001b[34m[2024-02-12:13:24:37:INFO] Debug hook created from config\u001b[0m\n", + "\u001b[34m[2024-02-13:08:32:46:INFO] No GPUs detected (normal if no gpus installed)\u001b[0m\n", + "\u001b[34m[2024-02-13:08:32:46:INFO] Running XGBoost Sagemaker in algorithm mode\u001b[0m\n", + "\u001b[34m[2024-02-13:08:32:46:INFO] Determined delimiter of CSV input is ','\u001b[0m\n", + "\u001b[34m[2024-02-13:08:32:46:INFO] Determined delimiter of CSV input is ','\u001b[0m\n", + "\u001b[34m[2024-02-13:08:32:46:INFO] Determined delimiter of CSV input is ','\u001b[0m\n", + "\u001b[34m[2024-02-13:08:32:47:INFO] Determined delimiter of CSV input is ','\u001b[0m\n", + "\u001b[34m[2024-02-13:08:32:47:INFO] Single node training.\u001b[0m\n", + "\u001b[34m[2024-02-13:08:32:47:INFO] Train matrix has 69997 rows and 28 columns\u001b[0m\n", + "\u001b[34m[2024-02-13:08:32:47:INFO] Validation matrix has 20000 rows\u001b[0m\n", + "\u001b[34m[2024-02-13 08:32:47.275 ip-10-0-78-133.us-east-2.compute.internal:7 INFO json_config.py:91] Creating hook from json_config at /opt/ml/input/config/debughookconfig.json.\u001b[0m\n", + "\u001b[34m[2024-02-13 08:32:47.276 ip-10-0-78-133.us-east-2.compute.internal:7 INFO hook.py:201] tensorboard_dir has not been set for the hook. SMDebug will not be exporting tensorboard summaries.\u001b[0m\n", + "\u001b[34m[2024-02-13 08:32:47.276 ip-10-0-78-133.us-east-2.compute.internal:7 INFO profiler_config_parser.py:102] User has disabled profiler.\u001b[0m\n", + "\u001b[34m[2024-02-13 08:32:47.277 ip-10-0-78-133.us-east-2.compute.internal:7 INFO hook.py:255] Saving to /opt/ml/output/tensors\u001b[0m\n", + "\u001b[34m[2024-02-13 08:32:47.277 ip-10-0-78-133.us-east-2.compute.internal:7 INFO state_store.py:77] The checkpoint config file /opt/ml/input/config/checkpointconfig.json does not exist.\u001b[0m\n", + "\u001b[34m[2024-02-13:08:32:47:INFO] Debug hook created from config\u001b[0m\n", "\u001b[34m[0]#011train-merror:0.54809#011validation-merror:0.56205\u001b[0m\n", - "\u001b[34m[2024-02-12 13:24:39.418 ip-10-0-177-37.us-east-2.compute.internal:7 INFO hook.py:423] Monitoring the collections: metrics\u001b[0m\n", - "\u001b[34m[2024-02-12 13:24:39.421 ip-10-0-177-37.us-east-2.compute.internal:7 INFO hook.py:486] Hook is writing from the hook with pid: 7\u001b[0m\n", + "\u001b[34m[2024-02-13 08:32:49.057 ip-10-0-78-133.us-east-2.compute.internal:7 INFO hook.py:423] Monitoring the collections: metrics\u001b[0m\n", + "\u001b[34m[2024-02-13 08:32:49.060 ip-10-0-78-133.us-east-2.compute.internal:7 INFO hook.py:486] Hook is writing from the hook with pid: 7\u001b[0m\n", "\u001b[34m[1]#011train-merror:0.52881#011validation-merror:0.54025\u001b[0m\n", "\u001b[34m[2]#011train-merror:0.51631#011validation-merror:0.53010\u001b[0m\n", "\u001b[34m[3]#011train-merror:0.50496#011validation-merror:0.52125\u001b[0m\n", @@ -1728,12 +1728,12 @@ "\u001b[34m[96]#011train-merror:0.10273#011validation-merror:0.10900\u001b[0m\n", "\u001b[34m[97]#011train-merror:0.10186#011validation-merror:0.10835\u001b[0m\n", "\u001b[34m[98]#011train-merror:0.10068#011validation-merror:0.10740\u001b[0m\n", + "\u001b[34m[99]#011train-merror:0.09996#011validation-merror:0.10595\u001b[0m\n", "\n", - "2024-02-12 13:27:29 Uploading - Uploading generated training model\u001b[34m[99]#011train-merror:0.09996#011validation-merror:0.10595\u001b[0m\n", - "\n", - "2024-02-12 13:27:40 Completed - Training job completed\n", - "Training seconds: 282\n", - "Billable seconds: 282\n" + "2024-02-13 08:35:41 Uploading - Uploading generated training model\n", + "2024-02-13 08:35:57 Completed - Training job completed\n", + "Training seconds: 293\n", + "Billable seconds: 293\n" ] } ], @@ -1762,7 +1762,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "> 2024-02-12 13:28:20,985 [info] Project loaded successfully: {'project_name': 'sagemaker'}\n" + "> 2024-02-13 08:36:31,116 [info] Identified pre-initialized git repo, using it: {'url': 'git://github.com/mlrun/demo-sagemaker.git#refs/heads/development'}\n", + "> 2024-02-13 08:36:46,461 [info] Created and saved project: {'name': 'sagemaker-admin', 'from_template': None, 'overwrite': False, 'context': './', 'save': True}\n", + "> 2024-02-13 08:36:47,244 [info] Project created successfully: {'project_name': 'sagemaker', 'stored_in_db': True}\n" ] } ], @@ -1841,7 +1843,7 @@ "\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 31, @@ -1867,13 +1869,21 @@ "cell_type": "code", "execution_count": 32, "id": "2963f0b2-5169-4138-aefb-cef8813b0e0e", - "metadata": {}, + "metadata": { + "scrolled": true + }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "> 2024-02-12 13:28:21,518 [info] model xgboost-model was loaded\n" + "> 2024-02-13 08:36:47,792 [info] model xgboost-model was loaded\n", + "{'inputs': [[4630518417004166.0, 4898290331783278.0, 67.18, 2021.0, 1.0, 10.0, 23.0, 57.0, 10.0, 428.65735483870964, 15.970618109151054, 783.9734946236558, 33.73750272435426, 35.675963606286196, 52.41640479636139, 26.06939321893735, 16.107552848441422, 5957.367483870968, 47.59955807703791, 33.79710992816166, 284.6275883256528, 40.229440860215064, 137.55919713261648, 429.58608602150537, 2846.4932473118283, 308.04887096774195, 714.2121989247312, 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"093d87f6-312f-452b-8e7d-1bd613e189ed", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "> 2024-02-12 13:28:21,593 [info] Invoking function: {'method': 'POST', 'path': 'http://sagemaker-admin-serving-sagemaker-admin.default-tenant.app.cust-cs-il-353.iguazio-cd2.com//predict'}\n" - ] - } - ], - "source": [ - "response = serving_function.invoke(path='/predict', body={\"inputs\": samples})" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "id": "a70a144b-f9cd-4e2e-b1e3-16163b56835a", - "metadata": {}, + "execution_count": 42, + "id": "5b1f27eb-a2a0-457e-9291-4b61d40e4d0c", + "metadata": { + "scrolled": true + }, "outputs": [ { "name": "stdout", @@ -1924,12 +1918,13 @@ } ], "source": [ + "response = server.test(body={\"inputs\": samples})\n", "print(response['predictions'])" ] }, { "cell_type": "code", - "execution_count": 36, + "execution_count": null, "id": "815fd915-e8ff-455a-a16b-dbf470f8d825", "metadata": {}, "outputs": [ @@ -1937,25 +1932,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "> 2024-02-12 13:28:21,673 [info] Starting remote function deploy\n", - "2024-02-12 13:28:22 (info) Deploying function\n", - "2024-02-12 13:28:22 (info) Building\n", - "2024-02-12 13:28:22 (info) Staging files and preparing base images\n", - "2024-02-12 13:28:22 (info) Building processor image\n", - "2024-02-12 13:29:27 (info) Build complete\n", - "2024-02-12 13:29:36 (info) Function deploy complete\n", - "> 2024-02-12 13:29:43,324 [info] Successfully deployed function: {'internal_invocation_urls': ['nuclio-sagemaker-admin-serving.default-tenant.svc.cluster.local:8080'], 'external_invocation_urls': ['sagemaker-admin-serving-sagemaker-admin.default-tenant.app.cust-cs-il-353.iguazio-cd2.com/']}\n" + "> 2024-02-13 08:57:37,720 [info] Starting remote function deploy\n", + "2024-02-13 08:57:38 (info) Deploying function\n", + "2024-02-13 08:57:38 (info) Building\n", + "2024-02-13 08:57:38 (info) Staging files and preparing base images\n", + "2024-02-13 08:57:38 (info) Building processor image\n" ] - }, - { - "data": { - "text/plain": [ - "DeployStatus(state=ready, outputs={'endpoint': 'http://sagemaker-admin-serving-sagemaker-admin.default-tenant.app.cust-cs-il-353.iguazio-cd2.com/', 'name': 'sagemaker-admin-serving'})" - ] - }, - "execution_count": 36, - "metadata": {}, - "output_type": "execute_result" } ], "source": [ @@ -1964,36 +1946,20 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": null, "id": "0bd727dc-7243-4d0c-94b7-91dcaeca3fae", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "> 2024-02-12 13:29:43,392 [info] Invoking function: {'method': 'POST', 'path': 'http://sagemaker-admin-serving-sagemaker-admin.default-tenant.app.cust-cs-il-353.iguazio-cd2.com//predict'}\n" - ] - } - ], + "outputs": [], "source": [ "response = serving_function.invoke(path='/predict', body={\"inputs\": samples})" ] }, { "cell_type": "code", - "execution_count": 38, + "execution_count": null, "id": "b6e22e08-9fa3-4fc9-a084-652edf9fdfb7", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[1, 1, 11, 3, 1, 3, 3, 5, 1, 1, 3, 3, 17, 7, 2, 13, 9, 7, 3, 10, 1, 7, 1, 10, 10, 6, 3, 5, 3, 3, 1, 12, 9, 12, 6, 1, 10, 10, 10, 10, 1, 3, 3, 1, 3, 9, 1, 10, 3, 4, 3, 3, 10, 1, 3, 10, 3, 3, 17, 3, 6, 3, 3, 3, 3, 1, 3, 1, 1, 6, 3, 10, 3, 5, 1, 10, 3, 10, 10, 10, 10, 14, 1, 12, 3, 7, 1, 3, 12, 3, 10, 5, 3, 3, 1, 1, 6, 1, 10, 10, 3, 3, 1, 3, 3, 6, 3, 3, 3, 1, 10, 3, 3, 1, 5, 10, 1, 3, 1, 3, 10, 3, 3, 11, 12, 3, 3, 5, 1, 3, 3, 1, 3, 1, 10, 3, 1, 3, 3, 18, 13, 3, 1, 1, 10, 3, 1, 3, 1, 10, 6, 3, 10, 10, 3, 3, 3, 6, 1, 3, 10, 10, 1, 3, 17, 1, 3, 3, 3, 3, 17, 3, 3, 7, 3, 6, 10, 3, 3, 3, 10, 3, 6, 3, 3, 10, 11, 10, 10, 1, 10, 10, 5, 12, 5, 13, 3, 10, 3, 3, 5, 1, 9, 1, 3, 9, 3, 10, 10, 10, 9, 3, 3, 3, 10, 1, 2, 1, 1, 6, 3, 1, 6, 6, 7, 10, 10, 3, 3, 6, 1, 9, 3, 3, 3, 3, 10, 3, 6, 10, 1, 3, 17, 1, 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"execution_count": null, "id": "6b6a92c2-09f2-4e4a-9c3a-1c005e231d1b", "metadata": {}, "outputs": [], @@ -2020,7 +1986,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": null, "id": "84c6a5b7", "metadata": {}, "outputs": [], @@ -2030,313 +1996,30 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": null, "id": "cdb2def1-c771-4757-a581-41c0014f2678", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'s3://sagemaker-us-east-2-934638699319/payment-classification/output/sagemaker-xgboost-2024-02-12-13-21-36-187/output/model.tar.gz'" - ] - }, - "execution_count": 41, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "xgb.model_data" ] }, { "cell_type": "code", - "execution_count": 42, + "execution_count": null, "id": "fe92026c-c9e3-4e06-8b75-894db62f8f6a", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'s3://sagemaker-us-east-2-934638699319/payment-classification/test/test.csv'" - ] - }, - "execution_count": 42, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "s3_data" ] }, { "cell_type": "code", - "execution_count": 43, + "execution_count": null, "id": "62b14992-24db-4be2-bcb3-dbd115fa7544", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "> 2024-02-12 13:29:43,661 [info] Storing function: {'name': 'evaluate-evaluate', 'uid': '676e68621dd34bcd89b138f74954a4d5', 'db': 'https://mlrun-api.default-tenant.app.cust-cs-il-353.iguazio-cd2.com'}\n", - "> 2024-02-12 13:29:44,057 [info] Job is running in the background, pod: evaluate-evaluate-bdkpj\n", - "[13:29:48] WARNING: /workspace/src/common/error_msg.h:80: If you are loading a serialized model (like pickle in Python, RDS in R) or\n", - "configuration generated by an older version of XGBoost, please export the model by calling\n", - "`Booster.save_model` from that version first, then load it back in current version. See:\n", - "\n", - " https://xgboost.readthedocs.io/en/stable/tutorials/saving_model.html\n", - "\n", - "for more details about differences between saving model and serializing.\n", - "\n", - " transaction_category receiver_id ... 17_dist 18_dist\n", - "0 3 4.630518e+15 ... 714.212199 138.277151\n", - "1 1 4.558838e+15 ... 761.252199 185.317151\n", - "2 8 4.542379e+15 ... 177.982199 397.952849\n", - "3 3 4.892899e+15 ... 644.632199 68.697151\n", - "4 1 4.282494e+15 ... 688.222199 112.287151\n", - "... ... ... ... ... ...\n", - "9995 1 4.979209e+15 ... 744.162199 168.227151\n", - "9996 5 4.481907e+15 ... 692.862199 116.927151\n", - "9997 10 4.210580e+15 ... 649.782199 73.847151\n", - "9998 1 4.542105e+15 ... 727.272199 151.337151\n", - "9999 3 4.486975e+15 ... 766.152199 190.217151\n", - "\n", - "[10000 rows x 29 columns]\n", - "> 2024-02-12 13:29:49,267 [info] To track results use the CLI: {'info_cmd': 'mlrun get run 676e68621dd34bcd89b138f74954a4d5 -p sagemaker-admin', 'logs_cmd': 'mlrun logs 676e68621dd34bcd89b138f74954a4d5 -p sagemaker-admin'}\n", - "> 2024-02-12 13:29:49,267 [info] Or click for UI: {'ui_url': 'https://dashboard.default-tenant.app.cust-cs-il-353.iguazio-cd2.com/mlprojects/sagemaker-admin/jobs/monitor/676e68621dd34bcd89b138f74954a4d5/overview'}\n", - "> 2024-02-12 13:29:49,267 [info] Run execution finished: {'status': 'completed', 'name': 'evaluate-evaluate'}\n" - ] - }, - { - "data": { - "text/html": [ - "\n", - "
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projectuiditerstartstatenamelabelsinputsparametersresultsartifacts
sagemaker-admin0Feb 12 13:29:47completedevaluate-evaluate
v3io_user=admin
kind=job
owner=admin
mlrun/client_version=1.6.0-rc26
mlrun/client_python_version=3.9.18
host=evaluate-evaluate-bdkpj
model_path=s3://sagemaker-us-east-2-934638699319/payment-classification/output/sagemaker-xgboost-2024-02-12-13-21-36-187/output/model.tar.gz
model_name=xgboost-model
test_set=s3://sagemaker-us-east-2-934638699319/payment-classification/test/test.csv
label_column=transaction_category
factorize_key={'Uncategorized': '0', 'Entertainment': '1', 'Education': '2', 'Shopping': '3', 'Personal Care': '4', 'Health and Fitness': '5', 'Food and Dining': '6', 'Gifts and Donations': '7', 'Investments': '8', 'Bills and Utilities': '9', 'Auto and Transport': '10', 'Travel': '11', 'Fees and Charges': '12', 'Business Services': '13', 'Personal Services': '14', 'Taxes': '15', 'Gambling': '16', 'Home': '17', 'Pension and insurances': '18'}
classification_report
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precisionrecallf1-scoresupport
Uncategorized1.0000000.9215690.95918451.000
Entertainment0.7957450.8808880.8361551486.000
Education1.0000000.9375000.96774280.000
Shopping0.8488920.9354840.8900873441.000
Personal Care1.0000000.9848480.992366132.000
Health and Fitness0.9878640.9187360.952047443.000
Food and Dining0.9895420.8246190.899584918.000
Gifts and Donations0.9961690.9454550.970149275.000
Investments0.9882350.9545450.97109888.000
Bills and Utilities0.9969790.9939760.995475332.000
Auto and Transport0.9380120.8154550.8724501967.000
Travel0.9523810.8333330.888889120.000
Fees and Charges1.0000000.9528300.975845106.000
Business Services1.0000000.9931510.996564146.000
Personal Services1.0000000.9600000.97959275.000
Taxes1.0000000.9361700.96703347.000
Gambling1.0000001.0000001.00000015.000
Home0.9805190.8988100.937888168.000
Pension and insurances0.9909911.0000000.995475110.000
accuracy0.8960000.8960000.8960000.896
macro avg0.9718590.9309140.94987510000.000
weighted avg0.9026540.8960000.89656710000.000
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" - ], - "text/plain": [ - " precision recall f1-score support\n", - "Uncategorized 1.000000 0.921569 0.959184 51.000\n", - "Entertainment 0.795745 0.880888 0.836155 1486.000\n", - "Education 1.000000 0.937500 0.967742 80.000\n", - "Shopping 0.848892 0.935484 0.890087 3441.000\n", - "Personal Care 1.000000 0.984848 0.992366 132.000\n", - "Health and Fitness 0.987864 0.918736 0.952047 443.000\n", - "Food and Dining 0.989542 0.824619 0.899584 918.000\n", - "Gifts and Donations 0.996169 0.945455 0.970149 275.000\n", - "Investments 0.988235 0.954545 0.971098 88.000\n", - "Bills and Utilities 0.996979 0.993976 0.995475 332.000\n", - "Auto and Transport 0.938012 0.815455 0.872450 1967.000\n", - "Travel 0.952381 0.833333 0.888889 120.000\n", - "Fees and Charges 1.000000 0.952830 0.975845 106.000\n", - "Business Services 1.000000 0.993151 0.996564 146.000\n", - "Personal Services 1.000000 0.960000 0.979592 75.000\n", - "Taxes 1.000000 0.936170 0.967033 47.000\n", - "Gambling 1.000000 1.000000 1.000000 15.000\n", - "Home 0.980519 0.898810 0.937888 168.000\n", - "Pension and insurances 0.990991 1.000000 0.995475 110.000\n", - "accuracy 0.896000 0.896000 0.896000 0.896\n", - "macro avg 0.971859 0.930914 0.949875 10000.000\n", - "weighted avg 0.902654 0.896000 0.896567 10000.000" - ] - }, - "execution_count": 44, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "evaluate_run.artifact(\"classification_report\").as_df()" ] @@ -2627,12 +2093,12 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": null, "id": "f79b1164", "metadata": {}, "outputs": [], "source": [ - "feature_group.delete()\n", + "#feature_group.delete()\n", "#xgb_predictor.delete_endpoint(delete_endpoint_config=True)" ] }, diff --git a/src/functions/serving.py b/src/functions/serving.py index a04e126..9a56ac7 100644 --- a/src/functions/serving.py +++ b/src/functions/serving.py @@ -80,60 +80,4 @@ def postprocess(inputs: dict) -> dict: inputs["predictions"] = predictions inputs["confidences"] = confidences - return inputs - -# def get_realtime_transactions_aggregations(): -# # Create a feature vector that gets the average amount -# vector = fstore.FeatureVector("aggregations-vector", ["aggregations.amount_avg_1d"], with_indexes=True) -# #get the categories list -# unique_categories = ["0","1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16"] -# # Use online feature service to get the latest average amount per category -# with vector.get_online_feature_service() as online_feature_service: -# resp = online_feature_service.get( -# [{"transaction_category":cat} for cat in unique_categories] -# ) -# return resp - -# def calculate_distances(resp, event): -# for cat in resp: -# transaction_category = cat['transaction_category'] -# amount_avg = cat['amount_avg_1d'] -# event[0]["dist_" + transaction_category] = abs(amount_avg - event[0]["amount"]) - -# return event - -# def convert_timestamp_to_components(event): -# event[0]["year"] = event[0]["timestamp"].year -# event[0]["month"] = event[0]["timestamp"].month -# event[0]["day"] = event[0]["timestamp"].day -# event[0]["hour"] = event[0]["timestamp"].hour -# event[0]["minute"] = event[0]["timestamp"].minute -# event[0]["second"] = event[0]["timestamp"].second -# del event[0]['timestamp'] - -# return event - -# def move_to_end(ls, key): -# """Move an item to the end of the dictionary.""" -# d = ls[0] -# if key in d: -# value = d.pop(key) # Remove the item and get its value -# d[key] = value # Reinsert the item, which moves it to the end -# ls[0] = d -# return ls - - - - -# # Function that preprocesses the inference data -# def preprocess(event): -# resp = get_realtime_transactions_aggregations() -# dist_event = calculate_distances(resp, event) -# converted_event = convert_timestamp_to_components(event) -# restructured_event = move_to_end(converted_event,'transaction_id') -# values_list = list(restructured_event[0].values()) -# return_list = [values_list] -# return_list -# return_dict = {"inputs": return_list} -# return return_dict - \ No newline at end of file + return inputs \ No newline at end of file