From dc7dd923fc491fc9d3a609a80126add805ab1d2f Mon Sep 17 00:00:00 2001 From: Pablo Lorenzatto Date: Sat, 11 Sep 2021 18:09:16 -0300 Subject: [PATCH] apply geni changes --- .bumpversion.cfg | 2 +- CHANGELOG.md | 5 + notebook/examples/backtesting_example.ipynb | 236 ++++++++++++++++++++ soam/__init__.py | 2 +- soam/workflow/backtester.py | 2 +- 5 files changed, 244 insertions(+), 3 deletions(-) create mode 100644 notebook/examples/backtesting_example.ipynb diff --git a/.bumpversion.cfg b/.bumpversion.cfg index 4775e6c..8a15ba3 100644 --- a/.bumpversion.cfg +++ b/.bumpversion.cfg @@ -1,5 +1,5 @@ [bumpversion] -current_version = 0.9.4 +current_version = 0.9.5 tag = False [bumpversion:file:soam/__init__.py] diff --git a/CHANGELOG.md b/CHANGELOG.md index 7f62a4f..923350d 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -5,6 +5,11 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). +## [0.9.5- 2021-09-10] + +### Added +- Backtesting notebook example. + ## [0.9.4- 2021-08-17] ### Added diff --git a/notebook/examples/backtesting_example.ipynb b/notebook/examples/backtesting_example.ipynb new file mode 100644 index 0000000..b9cf221 --- /dev/null +++ b/notebook/examples/backtesting_example.ipynb @@ -0,0 +1,236 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Backtesting Introduction\n", + "\n", + "This notebook intends to explain you how to use the `Backtester` class that `soam` provides by illustrating a simple and generic example.\n", + "\n", + "### Database used\n", + "We will be using a database that stores information on Apple's and Tesla's stocks over a period of time." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "from soam.workflow.time_series_extractor import TimeSeriesExtractor\n", + "from soam.workflow.forecaster import Forecaster\n", + "from soam.workflow import Backtester, Transformer, DummyDataFrameTransformer\n", + "from soam.models.prophet import SkProphet\n", + "\n", + "from muttlib.dbconn import get_client\n", + "from sklearn.metrics import mean_absolute_error, mean_squared_error\n", + "import matplotlib.pyplot as plt\n", + "import pandas as pd\n", + "\n", + "import warnings\n", + "warnings.filterwarnings('ignore')\n", + "\n", + "import logging, sys\n", + "logging.disable(sys.maxsize)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Establish connection with the database and retrieve the pandas DataFrame we will use\n", + "\n", + "We use the `SoaM` `TimeSeriesExtractor` to retrieve data from our `DataBase` and apply simple transformations to have the data ready for our forecasting model.\n", + "\n", + "To see further information about the `TimeSeriesExtractor` check our [Time Series Extractor, Slicer and Store Introduction](https://gitlab.com/mutt_data/soam/-/blob/master/notebook/examples/extractor_slicer_store_example.ipynb).\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": "
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", + "text/plain": " ds y\n0 2021-03-01 125.0\n1 2021-03-02 126.0\n2 2021-03-03 123.0\n3 2021-03-04 121.0\n4 2021-03-05 119.0" + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sqlite_cfg = {\n", + " \"db_type\": \"sqlite\",\n", + " \"database\": \"soam_quickstart.db\"\n", + "}\n", + "\n", + "sqlite_client = get_client(sqlite_cfg)[1]\n", + "extractor = TimeSeriesExtractor(db=sqlite_client, table_name='stock')\n", + "query={\n", + " 'columns': '*',\n", + " 'extra_where_conditions': [\"symbol = 'AAPL'\"],\n", + " 'dimensions': ['date']\n", + " \n", + "}\n", + "df = extractor.run(build_query_kwargs = query)\n", + "df = df[['date', 'avg_price']]\n", + "df.rename(columns = {\n", + " 'date': 'ds',\n", + " 'avg_price': 'y'}, inplace = True)\n", + "df.ds = pd.to_datetime(df.ds)\n", + "df.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Basic backtesting\n", + "\n", + "We will use the built in `SkProphet` model to generate a forecasting model and measure it's performance over several points. Later, we will observe how the selected metrics distribute through time by plotting a several line-plots." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Initiate the forecasting model" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "my_model = SkProphet()\n", + "forecaster = Forecaster(my_model)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Backtest the model\n", + "Train the model with past data and compute metrics.\n", + "\n", + "#### In this case we will use:\n", + "- A `dummy` transformation for preprocessing.\n", + "- `Mean Absolute Error` and `Mean Squared Error` as performance metrics.\n", + "- Train window of 5 days.\n", + "- Test window of 1 day.\n", + "- Our built in `SkProphet` forecasting model." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Backtesting Completed Succesfully\n" + ] + } + ], + "source": [ + "backtester = Backtester(forecaster=forecaster,\n", + " train_window=5,\n", + " test_window=1,\n", + " preprocessor=Transformer(DummyDataFrameTransformer()),\n", + " metrics={\n", + " 'mae': mean_absolute_error,\n", + " 'mse': mean_squared_error\n", + " })\n", + "\n", + "results = backtester.run(time_series=df)\n", + "print('Backtesting Completed Succesfully')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Visualize results" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": "
" + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Append metrics results on lists.\n", + "mae = []\n", + "mse = []\n", + "for i in range(len(results)):\n", + " mae.append(results[i]['metrics']['mae'])\n", + " mse.append(results[i]['metrics']['mse'])\n", + "\n", + "# Generate figure.\n", + "fig, axs = plt.subplots(2, figsize=(10,8), dpi=120)\n", + "\n", + "# Plots.\n", + "axs[0].plot(mae, linewidth=0.8, color='steelblue', linestyle='--')\n", + "axs[1].plot(mse, linewidth=0.8, color='tomato', linestyle='--')\n", + "\n", + "\n", + "# Set titles.\n", + "axs[0].set_title(\"MAE\")\n", + "axs[1].set_title(\"MSE\")\n", + "fig.suptitle('Model performance over time', fontsize=15)\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "VoilĂ !" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.10" + }, + "metadata": { + "interpreter": { + "hash": "c9ee3ddeb5036d680c7ea1309b89271eedc3ab235536a03090f52effcd2d1dec" + } + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} \ No newline at end of file diff --git a/soam/__init__.py b/soam/__init__.py index c9f27ac..d40a8ee 100644 --- a/soam/__init__.py +++ b/soam/__init__.py @@ -1,3 +1,3 @@ """Version.""" -__version__ = '0.9.4' +__version__ = '0.9.5' diff --git a/soam/workflow/backtester.py b/soam/workflow/backtester.py index 2bd9478..219a993 100644 --- a/soam/workflow/backtester.py +++ b/soam/workflow/backtester.py @@ -134,7 +134,7 @@ def __init__( # self.state_handlers.append(saver.save_step) if preprocessor is None: - preprocessor = DummyDataFrameTransformer() + preprocessor = Transformer(DummyDataFrameTransformer()) self.forecaster = forecaster self.preprocessor = preprocessor