diff --git a/tutorials/17-home-rental-prediction.ipynb b/tutorials/17-home-rental-prediction.ipynb new file mode 100644 index 0000000000..361d4e01e0 --- /dev/null +++ b/tutorials/17-home-rental-prediction.ipynb @@ -0,0 +1,3475 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "QjHMHmrUW0Vg" + }, + "source": [ + "# Training Prediction Models Directly Within PostgreSQL Using EvaDB\n", + "In this tutorial, we'll harness EvaDB's model training capabilities to predict home rental prices, showcasing how EvaDB seamlessly integrates AI into your PostgreSQL database.\n", + "\n", + " \n", + " \n", + " \n", + "
\n", + " Run on Google Colab\n", + " \n", + " View source on GitHub\n", + " \n", + " Download notebook\n", + "


" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "GHToaA_NKiHY" + }, + "source": [ + "## Setup" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "f1GutjuqECBh" + }, + "source": [ + "### Install and Launch the PostgreSQL Server\n", + "\n", + "To kick things off, we'll start by setting up the PostgreSQL database backend. If you already have a PostgreSQL server up and running, you can skip this step and proceed directly to [installing EvaDB](#install-evadb)." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "Z7PodOEEEDsQ", + "outputId": "ded8b9eb-acaa-4c29-cdc7-1aa9819ba1e9" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The following additional packages will be installed:\n", + " libcommon-sense-perl libjson-perl libjson-xs-perl libtypes-serialiser-perl\n", + " logrotate netbase postgresql-14 postgresql-client-14\n", + " postgresql-client-common postgresql-common ssl-cert sysstat\n", + "Suggested packages:\n", + " bsd-mailx | mailx postgresql-doc postgresql-doc-14 isag\n", + "The following NEW packages will be installed:\n", + " libcommon-sense-perl libjson-perl libjson-xs-perl libtypes-serialiser-perl\n", + " logrotate netbase postgresql postgresql-14 postgresql-client-14\n", + " postgresql-client-common postgresql-common ssl-cert sysstat\n", + "0 upgraded, 13 newly installed, 0 to remove and 18 not upgraded.\n", + "Need to get 18.3 MB of archives.\n", + "After this operation, 51.5 MB of additional disk space will be used.\n", + "Preconfiguring packages ...\n", + "Selecting previously unselected package logrotate.\n", + "(Reading database ... 120901 files and directories currently installed.)\n", + "Preparing to unpack .../00-logrotate_3.19.0-1ubuntu1.1_amd64.deb ...\n", + "Unpacking logrotate (3.19.0-1ubuntu1.1) ...\n", + "Selecting previously unselected package netbase.\n", + "Preparing to unpack .../01-netbase_6.3_all.deb ...\n", + "Unpacking netbase (6.3) ...\n", + "Selecting previously unselected package libcommon-sense-perl:amd64.\n", + "Preparing to unpack .../02-libcommon-sense-perl_3.75-2build1_amd64.deb ...\n", + "Unpacking libcommon-sense-perl:amd64 (3.75-2build1) ...\n", + "Selecting previously unselected package libjson-perl.\n", + "Preparing to unpack .../03-libjson-perl_4.04000-1_all.deb ...\n", + "Unpacking libjson-perl (4.04000-1) ...\n", + "Selecting previously unselected package libtypes-serialiser-perl.\n", + "Preparing to unpack .../04-libtypes-serialiser-perl_1.01-1_all.deb ...\n", + "Unpacking libtypes-serialiser-perl (1.01-1) ...\n", + "Selecting previously unselected package libjson-xs-perl.\n", + "Preparing to unpack .../05-libjson-xs-perl_4.030-1build3_amd64.deb ...\n", + "Unpacking libjson-xs-perl (4.030-1build3) ...\n", + "Selecting previously unselected package postgresql-client-common.\n", + "Preparing to unpack .../06-postgresql-client-common_238_all.deb ...\n", + "Unpacking postgresql-client-common (238) ...\n", + "Selecting previously unselected package postgresql-client-14.\n", + "Preparing to unpack .../07-postgresql-client-14_14.9-0ubuntu0.22.04.1_amd64.deb ...\n", + "Unpacking postgresql-client-14 (14.9-0ubuntu0.22.04.1) ...\n", + "Selecting previously unselected package ssl-cert.\n", + "Preparing to unpack .../08-ssl-cert_1.1.2_all.deb ...\n", + "Unpacking ssl-cert (1.1.2) ...\n", + "Selecting previously unselected package postgresql-common.\n", + "Preparing to unpack .../09-postgresql-common_238_all.deb ...\n", + "Adding 'diversion of /usr/bin/pg_config to /usr/bin/pg_config.libpq-dev by postgresql-common'\n", + "Unpacking postgresql-common (238) ...\n", + "Selecting previously unselected package postgresql-14.\n", + "Preparing to unpack .../10-postgresql-14_14.9-0ubuntu0.22.04.1_amd64.deb ...\n", + "Unpacking postgresql-14 (14.9-0ubuntu0.22.04.1) ...\n", + "Selecting previously unselected package postgresql.\n", + "Preparing to unpack .../11-postgresql_14+238_all.deb ...\n", + "Unpacking postgresql (14+238) ...\n", + "Selecting previously unselected package sysstat.\n", + "Preparing to unpack .../12-sysstat_12.5.2-2ubuntu0.2_amd64.deb ...\n", + "Unpacking sysstat (12.5.2-2ubuntu0.2) ...\n", + "Setting up logrotate (3.19.0-1ubuntu1.1) ...\n", + "Created symlink /etc/systemd/system/timers.target.wants/logrotate.timer → /lib/systemd/system/logrotate.timer.\n", + "Setting up libcommon-sense-perl:amd64 (3.75-2build1) ...\n", + "Setting up ssl-cert (1.1.2) ...\n", + "Setting up libtypes-serialiser-perl (1.01-1) ...\n", + "Setting up libjson-perl (4.04000-1) ...\n", + "Setting up netbase (6.3) ...\n", + "Setting up sysstat (12.5.2-2ubuntu0.2) ...\n", + "\n", + "Creating config file /etc/default/sysstat with new version\n", + "update-alternatives: using /usr/bin/sar.sysstat to provide /usr/bin/sar (sar) in auto mode\n", + "Created symlink /etc/systemd/system/sysstat.service.wants/sysstat-collect.timer → /lib/systemd/system/sysstat-collect.timer.\n", + "Created symlink /etc/systemd/system/sysstat.service.wants/sysstat-summary.timer → /lib/systemd/system/sysstat-summary.timer.\n", + "Created symlink /etc/systemd/system/multi-user.target.wants/sysstat.service → /lib/systemd/system/sysstat.service.\n", + "Setting up postgresql-client-common (238) ...\n", + "Setting up libjson-xs-perl (4.030-1build3) ...\n", + "Setting up postgresql-client-14 (14.9-0ubuntu0.22.04.1) ...\n", + "update-alternatives: using /usr/share/postgresql/14/man/man1/psql.1.gz to provide /usr/share/man/man1/psql.1.gz (psql.1.gz) in auto mode\n", + "Setting up postgresql-common (238) ...\n", + "Adding user postgres to group ssl-cert\n", + "\n", + "Creating config file /etc/postgresql-common/createcluster.conf with new version\n", + "Building PostgreSQL dictionaries from installed myspell/hunspell packages...\n", + "Removing obsolete dictionary files:\n", + "Created symlink /etc/systemd/system/multi-user.target.wants/postgresql.service → /lib/systemd/system/postgresql.service.\n", + "Setting up postgresql-14 (14.9-0ubuntu0.22.04.1) ...\n", + "Creating new PostgreSQL cluster 14/main ...\n", + "/usr/lib/postgresql/14/bin/initdb -D /var/lib/postgresql/14/main --auth-local peer --auth-host scram-sha-256 --no-instructions\n", + "The files belonging to this database system will be owned by user \"postgres\".\n", + "This user must also own the server process.\n", + "\n", + "The database cluster will be initialized with locale \"en_US.UTF-8\".\n", + "The default database encoding has accordingly been set to \"UTF8\".\n", + "The default text search configuration will be set to \"english\".\n", + "\n", + "Data page checksums are disabled.\n", + "\n", + "fixing permissions on existing directory /var/lib/postgresql/14/main ... ok\n", + "creating subdirectories ... ok\n", + "selecting dynamic shared memory implementation ... posix\n", + "selecting default max_connections ... 100\n", + "selecting default shared_buffers ... 128MB\n", + "selecting default time zone ... Etc/UTC\n", + "creating configuration files ... ok\n", + "running bootstrap script ... ok\n", + "performing post-bootstrap initialization ... ok\n", + "syncing data to disk ... ok\n", + "update-alternatives: using /usr/share/postgresql/14/man/man1/postmaster.1.gz to provide /usr/share/man/man1/postmaster.1.gz (postmaster.1.gz) in auto mode\n", + "invoke-rc.d: could not determine current runlevel\n", + "invoke-rc.d: policy-rc.d denied execution of start.\n", + "Setting up postgresql (14+238) ...\n", + "Processing triggers for man-db (2.10.2-1) ...\n", + " * Starting PostgreSQL 14 database server\n", + " ...done.\n" + ] + } + ], + "source": [ + "!apt -qq install postgresql\n", + "!service postgresql start" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "hfBwvBTfEWIR" + }, + "source": [ + "### Create User and Database" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "UrlfWZOkEa4V", + "outputId": "834c5adc-6fd4-46da-c24c-58e326b94c21" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CREATE ROLE\n", + "CREATE DATABASE\n" + ] + } + ], + "source": [ + "!sudo -u postgres psql -c \"CREATE USER eva WITH SUPERUSER PASSWORD 'password'\"\n", + "!sudo -u postgres psql -c \"CREATE DATABASE evadb\"" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "H2m43vfZE8x6" + }, + "source": [ + "### Prettify Output" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "id": "EZf65ZkcFIX7" + }, + "outputs": [], + "source": [ + "import warnings\n", + "warnings.filterwarnings(\"ignore\")\n", + "\n", + "from IPython.core.display import display, HTML\n", + "def pretty_print(df):\n", + " return display(HTML( df.to_html().replace(\"\\\\n\",\"
\")))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "CpYS09iMEhaT" + }, + "source": [ + "### Installing EvaDB\n", + "\n", + "We install EvaDB along with the necessary PostgreSQL and Ludwig dependencies." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "NoAykveeElqm", + "outputId": "5d8a018f-6b5b-433e-c198-8b225f588f76" + }, + "outputs": [], + "source": [ + "%pip install --quiet \"evadb[postgres,ludwig]\"\n", + "\n", + "import evadb\n", + "cursor = evadb.connect().cursor()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "mUN-rlV8LHxN" + }, + "source": [ + "## Load data into PostgresSQL\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "nKwAY9eMFoc8" + }, + "source": [ + "### Setting up a Data Source in EvaDB\n", + "To establish a direct connection between EvaDB and underlying database systems such as PostgreSQL, we will create a data source. This process entails supplying EvaDB with the connection credentials for the active PostgreSQL server." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 81 + }, + "id": "IsP6rLZ2Ftxo", + "outputId": "4ce63373-05ea-4291-c22c-effc581f7045" + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " 0\n", + "0 The database postgres_data has been successful..." + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "params = {\n", + " \"user\": \"eva\",\n", + " \"password\": \"password\",\n", + " \"host\": \"localhost\",\n", + " \"port\": \"5432\",\n", + " \"database\": \"evadb\",\n", + "}\n", + "query = f\"CREATE DATABASE postgres_data WITH ENGINE = 'postgres', PARAMETERS = {params};\"\n", + "cursor.query(query).df()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Lwls48NQJb6G" + }, + "source": [ + "### Loading Home Property Sales Data from CSV into PostgreSQL\n", + "\n", + "In this step, we will import the [House Property Sales](https://www.kaggle.com/datasets/htagholdings/property-sales?resource=download) dataset into our PostgreSQL database. If you already have the data stored in PostgreSQL and are ready to proceed with the prediction model training, feel free to skip this section and head directly to the [model training process](#train-the-prediction-model).\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "msbHcP_xJpFV" + }, + "outputs": [], + "source": [ + "!mkdir -p content\n", + "!wget -nc -O /content/home_rentals.csv https://www.dropbox.com/scl/fi/gy2682i66a8l2tqsowm5x/home_rentals.csv?rlkey=e080k02rv5205h4ullfjdr8lw&raw=1" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 81 + }, + "id": "MhYfovbzNB-k", + "outputId": "5f44b882-b29b-4eb1-e8b5-e2f9ae3c2ce5" + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " status\n", + "0 success" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cursor.query(\"\"\"\n", + " USE postgres_data {\n", + " CREATE TABLE IF NOT EXISTS home_rentals (\n", + " number_of_rooms INT,\n", + " number_of_bathrooms INT,\n", + " sqft INT,\n", + " location VARCHAR(128),\n", + " days_on_market INT,\n", + " initial_price INT,\n", + " neighborhood VARCHAR(128),\n", + " rental_price FLOAT\n", + " )\n", + " }\n", + "\"\"\").df()" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 81 + }, + "id": "OH8Fxn0SNYO3", + "outputId": "2d4a61ab-5569-4ed5-fa2b-79953e26b4a8" + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " status\n", + "0 success" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cursor.query(\"\"\"\n", + " USE postgres_data {\n", + " COPY home_rentals(number_of_rooms, number_of_bathrooms, sqft, location, days_on_market, initial_price, neighborhood, rental_price)\n", + " FROM '/content/home_rentals.csv'\n", + " DELIMITER ',' CSV HEADER\n", + " }\n", + "\"\"\").df()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "vKXHBLtxNsbg" + }, + "source": [ + "### Preview the Data\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "HSj_2sif8uEX" + }, + "source": [ + "Within the home_rentals table, there are 8 columns at our disposal. Our objective is to utilize the remaining 7 columns to make predictions for the rental_price." + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 163 + }, + "id": "20_IEby7N1Pe", + "outputId": "4978441a-2589-435a-8b1f-40ee5c96943a" + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/nethome/gkakkar7/VAST/evadb/evadb_310/lib/python3.10/site-packages/evadb/third_party/databases/postgres/postgres_handler.py:92: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", + " tables_df = pd.read_sql_query(query, self.connection)\n", + "/nethome/gkakkar7/VAST/evadb/evadb_310/lib/python3.10/site-packages/evadb/third_party/databases/postgres/postgres_handler.py:110: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", + " columns_df = pd.read_sql_query(query, self.connection)\n" + ] + }, + { + "data": { + "text/html": [ + "
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home_rentals.number_of_roomshome_rentals.number_of_bathroomshome_rentals.sqfthome_rentals.locationhome_rentals.days_on_markethome_rentals.initial_pricehome_rentals.neighborhoodhome_rentals.rental_price
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" + ], + "text/plain": [ + " home_rentals.number_of_rooms home_rentals.number_of_bathrooms \\\n", + "0 1 1 \n", + "1 1 1 \n", + "2 0 1 \n", + "\n", + " home_rentals.sqft home_rentals.location home_rentals.days_on_market \\\n", + "0 674 good 1 \n", + "1 554 poor 19 \n", + "2 529 great 3 \n", + "\n", + " home_rentals.initial_price home_rentals.neighborhood \\\n", + "0 2167 downtown \n", + "1 1883 westbrae \n", + "2 2431 south_side \n", + "\n", + " home_rentals.rental_price \n", + "0 2167.0 \n", + "1 1883.0 \n", + "2 2431.0 " + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cursor.query(\"SELECT * FROM postgres_data.home_rentals LIMIT 3;\").df()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "7DX411TFO-Lp" + }, + "source": [ + "## Training Model\n", + "\n", + "Next, we employ EvaDB to facilitate the training of an ML model, which will enable us to predict `home rental prices`." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "hoLzadFlPOvh" + }, + "source": [ + "### Train the prediction Model\n", + "For this purpose, we harness the capabilities of the [ludwig](https://ludwig.ai/latest/) engine to train our prediction model. We employ the `automl` feature to automatically determine the optimal hyperparameters. Keep in mind that `TIME_LIMIT` specifies the time budget allocated for the training process." + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "id": "IFstPBI8UINv", + "outputId": "547e822d-e113-4075-f712-8f9bacdb32bd" + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Analyzing fields: 100%|██████████| 8/8 [00:00<00:00, 328.58it/s]\n" + ] + }, + { + "data": { + "text/html": [ + "
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Tune Status

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Current time:2023-09-19 08:38:34
Running for: 00:27:42.94
Memory: 3.8/12.7 GiB
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System Info

\n", + " Using AsyncHyperBand: num_stopped=9
Bracket: Iter 1800.000: None | Iter 360.000: -29926.4453125 | Iter 72.000: -9882174.0
Logical resource usage: 0/2 CPUs, 0/0 GPUs\n", + "
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Trial Status

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Trial name status loc combiner.bn_momentum combiner.bn_virtual_\n", + "bs combiner.num_steps combiner.output_size combiner.relaxation_\n", + "factor combiner.size combiner.sparsity trainer.learning_rat\n", + "e ...er.learning_rate_\n", + "scheduler.decay_rate ...r.learning_rate_s\n", + "cheduler.decay_steps iter total time (s) metric_score
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trial_37845ee9TERMINATED172.28.0.12:14171 0.1 4096 7 241.5 64 0 3.27468e-050.95 8000 2 78.3225 1.02121e+07
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trial_d77a5970TERMINATED172.28.0.12:15203 0.2 512 9 161 24 0.001 2.19031e-050.9 10000 8 72.1549 1.02182e+07
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Trial Progress

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Trial name date done eval_stats experiment_tag hostname iterations_since_restore metric_scorenode_ip parameters pid time_since_restore time_this_iter_s time_total_s timestamp training_iterationtraining_stats trial_dir trial_id
trial_0d6e88be2023-09-19_08-23-57True {} 46951c74a412 10 1.00366e+07172.28.0.12{"trainer.learning_rate": 6.279541845784063e-05, "trainer.learning_rate_scheduler.decay_rate": 0.95, "trainer.learning_rate_scheduler.decay_steps": 500, "combiner.size": 64, "combiner.output_size": 64, "combiner.num_steps": 5, "combiner.relaxation_factor": 1.5, "combiner.sparsity": 0.0001, "combiner.bn_virtual_bs": 256, "combiner.bn_momentum": 0.1} 12568 73.8299 4.21747 73.8299 1695111837 10{"training": {"rental_price": {"loss": [9804516.0, 9794729.0, 9783788.0, 9769066.0, 9753283.0, 9738886.0, 9723512.0, 9706178.0, 9683419.0, 9656061.0], "mean_absolute_error": [2852.337158203125, 2850.80078125, 2849.161865234375, 2847.141845703125, 2845.015625, 2842.983154296875, 2840.99853515625, 2838.688720703125, 2835.837158203125, 2832.66943359375], "mean_absolute_percentage_error": [0.9993593692779541, 0.9987587928771973, 0.9981473088264465, 0.9974607825279236, 0.9967648386955261, 0.9960907101631165, 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trial_d77a59702023-09-19_08-33-04True {} 46951c74a412 8 1.02182e+07172.28.0.12{"trainer.learning_rate": 2.1903123801684172e-05, "trainer.learning_rate_scheduler.decay_rate": 0.9, "trainer.learning_rate_scheduler.decay_steps": 10000, "combiner.size": 24, "combiner.output_size": 16, "combiner.num_steps": 9, "combiner.relaxation_factor": 1.0, "combiner.sparsity": 0.001, "combiner.bn_virtual_bs": 512, "combiner.bn_momentum": 0.2}15203 72.1549 5.06661 72.1549 1695112384 8{"training": {"rental_price": {"loss": [9812456.0, 9811863.0, 9811264.0, 9810479.0, 9809972.0, 9809495.0, 9808723.0, 9808032.0], "mean_absolute_error": [2853.71337890625, 2853.6201171875, 2853.516357421875, 2853.395263671875, 2853.30419921875, 2853.222412109375, 2853.095703125, 2852.999267578125], "mean_absolute_percentage_error": [0.9999496936798096, 0.9999111890792847, 0.9998669624328613, 0.9998199343681335, 0.9997784495353699, 0.9997439980506897, 0.9996911287307739, 0.999658465385437], "mean_squared_error": [9812455.0, 9811863.0, 9811262.0, 9810479.0, 9809972.0, 9809495.0, 9808723.0, 9808034.0], "r2": [-4.87872314453125, -4.878368854522705, -4.878006458282471, -4.877527236938477, -4.877233505249023, -4.876943588256836, -4.876471042633057, -4.876058101654053], "root_mean_squared_error": [3132.48388671875, 3132.389404296875, 3132.29345703125, 3132.16845703125, 3132.08740234375, 3132.01123046875, 3131.88818359375, 3131.778076171875], "root_mean_squared_percentage_error": [0.9999494552612305, 0.999910295009613, 0.9998669028282166, 0.999819278717041, 0.9997779130935669, 0.9997438788414001, 0.9996908903121948, 0.9996588826179504]}, "combined": {"loss": [9805632.001453668, 9829352.001309926, 9826864.001243845, 9862214.001206191, 9803246.001179729, 9792032.00116336, 9797671.001150865, 9818985.001140928]}}, "validation": {"rental_price": {"loss": [10222031.0, 10221934.0, 10221260.0, 10220446.0, 10219752.0, 10218801.0, 10218787.0, 10218211.0], "mean_absolute_error": [2923.010498046875, 2922.987060546875, 2922.86376953125, 2922.72216796875, 2922.660888671875, 2922.52099609375, 2922.49951171875, 2922.375244140625], "mean_absolute_percentage_error": [0.9999327659606934, 0.9999155402183533, 0.9998604655265808, 0.9997968077659607, 0.9997929334640503, 0.9997460246086121, 0.999731719493866, 0.9996676445007324], "mean_squared_error": [10222031.0, 10221935.0, 10221259.0, 10220447.0, 10219752.0, 10218801.0, 10218787.0, 10218211.0], "r2": [-5.090005874633789, -5.089949131011963, -5.089545726776123, -5.089062690734863, -5.088648319244385, -5.0880818367004395, -5.088073253631592, -5.087730407714844], "root_mean_squared_error": [3197.191162109375, 3197.176025390625, 3197.0703125, 3196.943359375, 3196.834716796875, 3196.68603515625, 3196.683837890625, 3196.59375], "root_mean_squared_percentage_error": [0.9999322891235352, 0.9999152421951294, 0.9998601675033569, 0.999796986579895, 0.9997929930686951, 0.9997459053993225, 0.9997320175170898, 0.999667763710022]}, "combined": {"loss": [10236948.001434574, 10236851.001302416, 10236176.001240782, 10235371.001203522, 10234664.001178795, 10233713.001162682, 10233706.001150304, 10233136.001140436]}}, "test": {"rental_price": {"loss": [10022388.0, 10022151.0, 10021722.0, 10020930.0, 10020050.0, 10019586.0, 10019136.0, 10018721.0], "mean_absolute_error": [2892.181640625, 2892.14013671875, 2892.0537109375, 2891.917724609375, 2891.811767578125, 2891.729736328125, 2891.65771484375, 2891.563720703125], "mean_absolute_percentage_error": [0.9999171495437622, 0.9998978972434998, 0.9998565912246704, 0.9997953772544861, 0.9997690320014954, 0.999734103679657, 0.999706506729126, 0.9996582865715027], "mean_squared_error": [10022389.0, 10022151.0, 10021722.0, 10020929.0, 10020052.0, 10019585.0, 10019137.0, 10018720.0], "r2": [-5.0442609786987305, -5.0441179275512695, -5.043859004974365, -5.0433807373046875, -5.042851448059082, -5.042569637298584, -5.042300224304199, -5.042048454284668], "root_mean_squared_error": [3165.815673828125, 3165.778076171875, 3165.71044921875, 3165.585205078125, 3165.446533203125, 3165.372802734375, 3165.302001953125, 3165.236083984375], "root_mean_squared_percentage_error": [0.999916672706604, 0.9998980164527893, 0.9998566508293152, 0.9997952580451965, 0.9997687339782715, 0.9997336268424988, 0.9997063279151917, 0.9996578693389893]}, "combined": {"loss": [10018539.00140178, 10018310.00128895, 10017879.001234548, 10017079.00119874, 10016209.001176707, 10015736.001161186, 10015297.001149153, 10014880.001139445]}}} /content/evadb_data/tmp/hyperopt/trial_d77a5970/d77a5970
\n", + "
\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[2m\u001b[36m(run_experiment_trial pid=9590)\u001b[0m /usr/local/lib/python3.10/dist-packages/ludwig/schema/model_types/utils.py:238: UserWarning: Can't utilize `early_stop` while using a hyperopt scheduler. Setting early stop to -1.\n", + "\u001b[2m\u001b[36m(run_experiment_trial pid=9590)\u001b[0m warnings.warn(\"Can't utilize `early_stop` while using a hyperopt scheduler. Setting early stop to -1.\")\n", + "\u001b[2m\u001b[36m(pid=11510)\u001b[0m 2023-09-19 08:18:54.704064: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n", + "\u001b[2m\u001b[36m(pid=11510)\u001b[0m /usr/local/lib/python3.10/dist-packages/bitsandbytes/cextension.py:34: UserWarning: The installed version of bitsandbytes was compiled without GPU support. 8-bit optimizers, 8-bit multiplication, and GPU quantization are unavailable.\n", + "\u001b[2m\u001b[36m(pid=11510)\u001b[0m warn(\"The installed version of bitsandbytes was compiled without GPU support. \"\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[2m\u001b[36m(pid=11510)\u001b[0m /usr/local/lib/python3.10/dist-packages/bitsandbytes/libbitsandbytes_cpu.so: undefined symbol: cadam32bit_grad_fp32\n", + "\u001b[2m\u001b[36m(pid=11510)\u001b[0m Created a temporary directory at /tmp/tmpig_vjq1k\n", + "\u001b[2m\u001b[36m(pid=11510)\u001b[0m Writing /tmp/tmpig_vjq1k/_remote_module_non_scriptable.py\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[2m\u001b[36m(run_experiment_trial pid=11510)\u001b[0m /usr/local/lib/python3.10/dist-packages/ludwig/schema/model_types/utils.py:238: UserWarning: Can't utilize `early_stop` while using a hyperopt scheduler. Setting early stop to -1.\n", + "\u001b[2m\u001b[36m(run_experiment_trial pid=11510)\u001b[0m warnings.warn(\"Can't utilize `early_stop` while using a hyperopt scheduler. Setting early stop to -1.\")\n", + "\u001b[2m\u001b[36m(pid=12068)\u001b[0m 2023-09-19 08:20:38.139383: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n", + "\u001b[2m\u001b[36m(pid=12068)\u001b[0m /usr/local/lib/python3.10/dist-packages/bitsandbytes/cextension.py:34: UserWarning: The installed version of bitsandbytes was compiled without GPU support. 8-bit optimizers, 8-bit multiplication, and GPU quantization are unavailable.\n", + "\u001b[2m\u001b[36m(pid=12068)\u001b[0m warn(\"The installed version of bitsandbytes was compiled without GPU support. \"\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[2m\u001b[36m(pid=12068)\u001b[0m /usr/local/lib/python3.10/dist-packages/bitsandbytes/libbitsandbytes_cpu.so: undefined symbol: cadam32bit_grad_fp32\n", + "\u001b[2m\u001b[36m(pid=12068)\u001b[0m Created a temporary directory at /tmp/tmpcoc0ps99\n", + "\u001b[2m\u001b[36m(pid=12068)\u001b[0m Writing /tmp/tmpcoc0ps99/_remote_module_non_scriptable.py\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[2m\u001b[36m(run_experiment_trial pid=12068)\u001b[0m /usr/local/lib/python3.10/dist-packages/ludwig/schema/model_types/utils.py:238: UserWarning: Can't utilize `early_stop` while using a hyperopt scheduler. Setting early stop to -1.\n", + "\u001b[2m\u001b[36m(run_experiment_trial pid=12068)\u001b[0m warnings.warn(\"Can't utilize `early_stop` while using a hyperopt scheduler. Setting early stop to -1.\")\n", + "\u001b[2m\u001b[36m(pid=12568)\u001b[0m 2023-09-19 08:22:25.434963: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n", + "\u001b[2m\u001b[36m(pid=12568)\u001b[0m /usr/local/lib/python3.10/dist-packages/bitsandbytes/cextension.py:34: UserWarning: The installed version of bitsandbytes was compiled without GPU support. 8-bit optimizers, 8-bit multiplication, and GPU quantization are unavailable.\n", + "\u001b[2m\u001b[36m(pid=12568)\u001b[0m warn(\"The installed version of bitsandbytes was compiled without GPU support. \"\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[2m\u001b[36m(pid=12568)\u001b[0m /usr/local/lib/python3.10/dist-packages/bitsandbytes/libbitsandbytes_cpu.so: undefined symbol: cadam32bit_grad_fp32\n", + "\u001b[2m\u001b[36m(pid=12568)\u001b[0m Created a temporary directory at /tmp/tmpym3vhxf5\n", + "\u001b[2m\u001b[36m(pid=12568)\u001b[0m Writing /tmp/tmpym3vhxf5/_remote_module_non_scriptable.py\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[2m\u001b[36m(run_experiment_trial pid=12568)\u001b[0m /usr/local/lib/python3.10/dist-packages/ludwig/schema/model_types/utils.py:238: UserWarning: Can't utilize `early_stop` while using a hyperopt scheduler. Setting early stop to -1.\n", + "\u001b[2m\u001b[36m(run_experiment_trial pid=12568)\u001b[0m warnings.warn(\"Can't utilize `early_stop` while using a hyperopt scheduler. Setting early stop to -1.\")\n", + "\u001b[2m\u001b[36m(pid=13088)\u001b[0m 2023-09-19 08:24:22.084131: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[2m\u001b[36m(pid=13088)\u001b[0m /usr/local/lib/python3.10/dist-packages/bitsandbytes/libbitsandbytes_cpu.so: undefined symbol: cadam32bit_grad_fp32\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[2m\u001b[36m(pid=13088)\u001b[0m /usr/local/lib/python3.10/dist-packages/bitsandbytes/cextension.py:34: UserWarning: The installed version of bitsandbytes was compiled without GPU support. 8-bit optimizers, 8-bit multiplication, and GPU quantization are unavailable.\n", + "\u001b[2m\u001b[36m(pid=13088)\u001b[0m warn(\"The installed version of bitsandbytes was compiled without GPU support. \"\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[2m\u001b[36m(pid=13088)\u001b[0m Created a temporary directory at /tmp/tmpwt95hih3\n", + "\u001b[2m\u001b[36m(pid=13088)\u001b[0m Writing /tmp/tmpwt95hih3/_remote_module_non_scriptable.py\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[2m\u001b[36m(run_experiment_trial pid=13088)\u001b[0m /usr/local/lib/python3.10/dist-packages/ludwig/schema/model_types/utils.py:238: UserWarning: Can't utilize `early_stop` while using a hyperopt scheduler. Setting early stop to -1.\n", + "\u001b[2m\u001b[36m(run_experiment_trial pid=13088)\u001b[0m warnings.warn(\"Can't utilize `early_stop` while using a hyperopt scheduler. Setting early stop to -1.\")\n", + "\u001b[2m\u001b[36m(pid=13648)\u001b[0m 2023-09-19 08:26:06.891768: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[2m\u001b[36m(pid=13648)\u001b[0m /usr/local/lib/python3.10/dist-packages/bitsandbytes/libbitsandbytes_cpu.so: undefined symbol: cadam32bit_grad_fp32\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[2m\u001b[36m(pid=13648)\u001b[0m /usr/local/lib/python3.10/dist-packages/bitsandbytes/cextension.py:34: UserWarning: The installed version of bitsandbytes was compiled without GPU support. 8-bit optimizers, 8-bit multiplication, and GPU quantization are unavailable.\n", + "\u001b[2m\u001b[36m(pid=13648)\u001b[0m warn(\"The installed version of bitsandbytes was compiled without GPU support. \"\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[2m\u001b[36m(pid=13648)\u001b[0m Created a temporary directory at /tmp/tmpv0ckg_a2\n", + "\u001b[2m\u001b[36m(pid=13648)\u001b[0m Writing /tmp/tmpv0ckg_a2/_remote_module_non_scriptable.py\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[2m\u001b[36m(run_experiment_trial pid=13648)\u001b[0m /usr/local/lib/python3.10/dist-packages/ludwig/schema/model_types/utils.py:238: UserWarning: Can't utilize `early_stop` while using a hyperopt scheduler. Setting early stop to -1.\n", + "\u001b[2m\u001b[36m(run_experiment_trial pid=13648)\u001b[0m warnings.warn(\"Can't utilize `early_stop` while using a hyperopt scheduler. Setting early stop to -1.\")\n", + "\u001b[2m\u001b[36m(pid=14171)\u001b[0m 2023-09-19 08:27:56.659574: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n", + "\u001b[2m\u001b[36m(pid=14171)\u001b[0m /usr/local/lib/python3.10/dist-packages/bitsandbytes/cextension.py:34: UserWarning: The installed version of bitsandbytes was compiled without GPU support. 8-bit optimizers, 8-bit multiplication, and GPU quantization are unavailable.\n", + "\u001b[2m\u001b[36m(pid=14171)\u001b[0m warn(\"The installed version of bitsandbytes was compiled without GPU support. \"\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[2m\u001b[36m(pid=14171)\u001b[0m /usr/local/lib/python3.10/dist-packages/bitsandbytes/libbitsandbytes_cpu.so: undefined symbol: cadam32bit_grad_fp32\n", + "\u001b[2m\u001b[36m(pid=14171)\u001b[0m Created a temporary directory at /tmp/tmpw1xsob53\n", + "\u001b[2m\u001b[36m(pid=14171)\u001b[0m Writing /tmp/tmpw1xsob53/_remote_module_non_scriptable.py\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[2m\u001b[36m(run_experiment_trial pid=14171)\u001b[0m /usr/local/lib/python3.10/dist-packages/ludwig/schema/model_types/utils.py:238: UserWarning: Can't utilize `early_stop` while using a hyperopt scheduler. Setting early stop to -1.\n", + "\u001b[2m\u001b[36m(run_experiment_trial pid=14171)\u001b[0m warnings.warn(\"Can't utilize `early_stop` while using a hyperopt scheduler. Setting early stop to -1.\")\n", + "\u001b[2m\u001b[36m(pid=14699)\u001b[0m 2023-09-19 08:29:44.002156: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n", + "\u001b[2m\u001b[36m(pid=14699)\u001b[0m /usr/local/lib/python3.10/dist-packages/bitsandbytes/cextension.py:34: UserWarning: The installed version of bitsandbytes was compiled without GPU support. 8-bit optimizers, 8-bit multiplication, and GPU quantization are unavailable.\n", + "\u001b[2m\u001b[36m(pid=14699)\u001b[0m warn(\"The installed version of bitsandbytes was compiled without GPU support. \"\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[2m\u001b[36m(pid=14699)\u001b[0m /usr/local/lib/python3.10/dist-packages/bitsandbytes/libbitsandbytes_cpu.so: undefined symbol: cadam32bit_grad_fp32\n", + "\u001b[2m\u001b[36m(pid=14699)\u001b[0m Created a temporary directory at /tmp/tmp6bu1pg6f\n", + "\u001b[2m\u001b[36m(pid=14699)\u001b[0m Writing /tmp/tmp6bu1pg6f/_remote_module_non_scriptable.py\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[2m\u001b[36m(run_experiment_trial pid=14699)\u001b[0m /usr/local/lib/python3.10/dist-packages/ludwig/schema/model_types/utils.py:238: UserWarning: Can't utilize `early_stop` while using a hyperopt scheduler. Setting early stop to -1.\n", + "\u001b[2m\u001b[36m(run_experiment_trial pid=14699)\u001b[0m warnings.warn(\"Can't utilize `early_stop` while using a hyperopt scheduler. Setting early stop to -1.\")\n", + "\u001b[2m\u001b[36m(pid=15203)\u001b[0m 2023-09-19 08:31:33.486977: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n", + "\u001b[2m\u001b[36m(pid=15203)\u001b[0m /usr/local/lib/python3.10/dist-packages/bitsandbytes/cextension.py:34: UserWarning: The installed version of bitsandbytes was compiled without GPU support. 8-bit optimizers, 8-bit multiplication, and GPU quantization are unavailable.\n", + "\u001b[2m\u001b[36m(pid=15203)\u001b[0m warn(\"The installed version of bitsandbytes was compiled without GPU support. \"\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[2m\u001b[36m(pid=15203)\u001b[0m /usr/local/lib/python3.10/dist-packages/bitsandbytes/libbitsandbytes_cpu.so: undefined symbol: cadam32bit_grad_fp32\n", + "\u001b[2m\u001b[36m(pid=15203)\u001b[0m Created a temporary directory at /tmp/tmpaend1ws3\n", + "\u001b[2m\u001b[36m(pid=15203)\u001b[0m Writing /tmp/tmpaend1ws3/_remote_module_non_scriptable.py\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[2m\u001b[36m(run_experiment_trial pid=15203)\u001b[0m /usr/local/lib/python3.10/dist-packages/ludwig/schema/model_types/utils.py:238: UserWarning: Can't utilize `early_stop` while using a hyperopt scheduler. Setting early stop to -1.\n", + "\u001b[2m\u001b[36m(run_experiment_trial pid=15203)\u001b[0m warnings.warn(\"Can't utilize `early_stop` while using a hyperopt scheduler. Setting early stop to -1.\")\n", + "2023-09-19 08:38:34,918\tINFO tune.py:945 -- Total run time: 1663.01 seconds (1662.92 seconds for the tuning loop).\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + "
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