From c89fe193917e07a3c4371204b25827e312e9ab1c Mon Sep 17 00:00:00 2001 From: Anirban Mukherjee <34798203+AnirbanMukherjeeXD@users.noreply.github.com> Date: Tue, 12 Oct 2021 05:24:14 +0530 Subject: [PATCH] Added Support Vector Regressor for Time Series Prediction (#384) * Create README.md * Uploaded images * Create utils.py * Update README.md * Update README.md * Update README.md * Updated images * Update README.md - Added epsilon hyperparameter * Update README.md * Update README.md * Delete utils.py * Added utils * Added data * Create notebook.ipynb * Update notebook.ipynb * Update README.md * Update notebook.ipynb * Update notebook.ipynb * Create notebook.ipynb * Update README.md Added link to SVR * Update README.md * Update README.md * Update README.md Credits added * Update README.md Credits * Update README.md Credits * Create assignment.md * Create /translations/README.es.md * Update README.md * Update README.md Review & Self Study added for further reading * Added questions and answers for quiz on SVR * Removed duplicates for 'common\utils.py' Placed one 'common\utils.py' in the folder '7-TimeSeries' * Removed duplicates of 'data\energy.csv' from SVR Placed one 'data\energy.csv' in the folder '7-TimeSeries' * Removed duplicated * Update notebook.ipynb * Update README.md - Changed path of data - Changed import of common\utils.py --- 7-TimeSeries/3-SVR/README.md | 386 + 7-TimeSeries/3-SVR/assignment.md | 14 + .../3-SVR/images/full-data-predict.png | Bin 0 -> 108107 bytes 7-TimeSeries/3-SVR/images/full-data.png | Bin 0 -> 47326 bytes .../3-SVR/images/test-data-predict.png | Bin 0 -> 21237 bytes .../3-SVR/images/train-data-predict.png | Bin 0 -> 158317 bytes 7-TimeSeries/3-SVR/images/train-test.png | Bin 0 -> 122351 bytes 7-TimeSeries/3-SVR/solution/notebook.ipynb | 1022 + 7-TimeSeries/3-SVR/translations/README.es.md | 0 7-TimeSeries/3-SVR/working/notebook.ipynb | 698 + 7-TimeSeries/README.md | 1 + 7-TimeSeries/common/utils.py | 147 + 7-TimeSeries/data/energy.csv | 26305 ++++++++++++++++ quiz-app/src/assets/translations/en.json | 114 + 14 files changed, 28687 insertions(+) create mode 100644 7-TimeSeries/3-SVR/README.md create mode 100644 7-TimeSeries/3-SVR/assignment.md create mode 100644 7-TimeSeries/3-SVR/images/full-data-predict.png create mode 100644 7-TimeSeries/3-SVR/images/full-data.png create mode 100644 7-TimeSeries/3-SVR/images/test-data-predict.png create mode 100644 7-TimeSeries/3-SVR/images/train-data-predict.png create mode 100644 7-TimeSeries/3-SVR/images/train-test.png create mode 100644 7-TimeSeries/3-SVR/solution/notebook.ipynb create mode 100644 7-TimeSeries/3-SVR/translations/README.es.md create mode 100644 7-TimeSeries/3-SVR/working/notebook.ipynb create mode 100644 7-TimeSeries/common/utils.py create mode 100644 7-TimeSeries/data/energy.csv diff --git a/7-TimeSeries/3-SVR/README.md b/7-TimeSeries/3-SVR/README.md new file mode 100644 index 000000000..338717930 --- /dev/null +++ b/7-TimeSeries/3-SVR/README.md @@ -0,0 +1,386 @@ +# Time series forecasting with Support Vector Regressor + +In the previous lesson, you learned how to use ARIMA model to make time series predictions. Now you'll be looking at Support Vector Regressor model which is a regressor model used to predict continuous data. + +## [Pre-lecture quiz](https://white-water-09ec41f0f.azurestaticapps.net/quiz/51/) + +## Introduction + +In this lesson, you will discover a specific way to build models with [**SVM**: **S**upport **V**ector **M**achine](https://en.wikipedia.org/wiki/Support-vector_machine) for regression, or **SVR: Support Vector Regressor**. + +### SVR in the context of time series [^1] + +Before understanding the importance of SVR in time series prediction, here are some of the important concepts that you need to know: + +- **Regression:** Supervised learning technique to predict continuous values from a given set of inputs. The idea is to fit a curve (or line) in the feature space that has the maximum number of data points. [Click here](https://en.wikipedia.org/wiki/Regression_analysis) for more information. +- **Support Vector Machine (SVM):** A type of supervised machine learning model used for classification, regression and outliers detection. The model is a hyperplane in the feature space, which in case of classification acts as a boundary, and in case of regression acts as the best-fit line. In SVM, a Kernel function is generally used to transform the dataset to a space of higher number of dimensions, so that they can be easily separable. [Click here](https://en.wikipedia.org/wiki/Support-vector_machine) for more information on SVMs. +- **Support Vector Regressor (SVR):** A type of SVM, to find the best fit line (which in the case of SVM is a hyperplane) that has the maximum number of data points. + +### Why SVR? [^1] + +In the last lesson you learned about ARIMA, which is a very successful statistical linear method to forecast time series data. However, in many cases, time series data have *non-linearity*, which cannot be mapped by linear models. In such cases, the ability of SVM to consider non-linearity in the data for regression tasks makes SVR successful in time series forecasting. + +## Exercise - build an SVR model + +The first few steps for data preparation are the same as that of the previous lesson on [ARIMA](https://github.com/microsoft/ML-For-Beginners/tree/main/7-TimeSeries/2-ARIMA). + +Open the _/working_ folder in this lesson and find the _notebook.ipynb_ file.[^2] + +1. Run the notebook and import the necessary libraries: [^2] + + ```python + import sys + sys.path.append('../../') + ``` + + ```python + import os + import warnings + import matplotlib.pyplot as plt + import numpy as np + import pandas as pd + import datetime as dt + import math + + from sklearn.svm import SVR + from sklearn.preprocessing import MinMaxScaler + from common.utils import load_data, mape + ``` + +2. Load the data from the `/data/energy.csv` file into a Pandas dataframe and take a look: [^2] + + ```python + energy = load_data('../../data')[['load']] + ``` + +3. Plot all the available energy data from January 2012 to December 2014: [^2] + + ```python + energy.plot(y='load', subplots=True, figsize=(15, 8), fontsize=12) + plt.xlabel('timestamp', fontsize=12) + plt.ylabel('load', fontsize=12) + plt.show() + ``` + + ![full data](images/full-data.png) + + Now, let's build our SVR model. + +### Create training and testing datasets + +Now your data is loaded, so you can separate it into train and test sets. Then you'll reshape the data to create a time-step based dataset which will be needed for the SVR. You'll train your model on the train set. After the model has finished training, you'll evaluate its accuracy on the training set, testing set and then the full dataset to see the overall performance. You need to ensure that the test set covers a later period in time from the training set to ensure that the model does not gain information from future time periods [^2] (a situation known as *Overfitting*). + +1. Allocate a two-month period from September 1 to October 31, 2014 to the training set. The test set will include the two-month period of November 1 to December 31, 2014: [^2] + + ```python + train_start_dt = '2014-11-01 00:00:00' + test_start_dt = '2014-12-30 00:00:00' + ``` + +2. Visualize the differences: [^2] + + ```python + energy[(energy.index < test_start_dt) & (energy.index >= train_start_dt)][['load']].rename(columns={'load':'train'}) \ + .join(energy[test_start_dt:][['load']].rename(columns={'load':'test'}), how='outer') \ + .plot(y=['train', 'test'], figsize=(15, 8), fontsize=12) + plt.xlabel('timestamp', fontsize=12) + plt.ylabel('load', fontsize=12) + plt.show() + ``` + + ![training and testing data](images/train-test.png) + + + +### Prepare the data for training + +Now, you need to prepare the data for training by performing filtering and scaling of your data. Filter your dataset to only include the time periods and columns you need, and scaling to ensure the data is projected in the interval 0,1. + +1. Filter the original dataset to include only the aforementioned time periods per set and only including the needed column 'load' plus the date: [^2] + + ```python + train = energy.copy()[(energy.index >= train_start_dt) & (energy.index < test_start_dt)][['load']] + test = energy.copy()[energy.index >= test_start_dt][['load']] + + print('Training data shape: ', train.shape) + print('Test data shape: ', test.shape) + ``` + + ```output + Training data shape: (1416, 1) + Test data shape: (48, 1) + ``` + +2. Scale the training data to be in the range (0, 1): [^2] + + ```python + scaler = MinMaxScaler() + train['load'] = scaler.fit_transform(train) + ``` + +4. Now, you scale the testing data: [^2] + + ```python + test['load'] = scaler.transform(test) + ``` + +### Create data with time-steps [^1] + +For the SVR, you transform the input data to be of the form `[batch, timesteps]`. So, you reshape the existing `train_data` and `test_data` such that there is a new dimension which refers to the timesteps. + +```python +# Converting to numpy arrays +train_data = train.values +test_data = test.values +``` + +For this example, we take `timesteps = 5`. So, the inputs to the model are the data for the first 4 timesteps, and the output will be the data for the 5th timestep. + +```python +timesteps=5 +``` + +Converting training data to 2D tensor using nested list comprehension: + +```python +train_data_timesteps=np.array([[j for j in train_data[i:i+timesteps]] for i in range(0,len(train_data)-timesteps+1)])[:,:,0] +train_data_timesteps.shape +``` + +```output +(1412, 5) +``` + +Converting testing data to 2D tensor: + +```python +test_data_timesteps=np.array([[j for j in test_data[i:i+timesteps]] for i in range(0,len(test_data)-timesteps+1)])[:,:,0] +test_data_timesteps.shape +``` + +```output +(44, 5) +``` + + Selecting inputs and outputs from training and testing data: + +```python +x_train, y_train = train_data_timesteps[:,:timesteps-1],train_data_timesteps[:,[timesteps-1]] +x_test, y_test = test_data_timesteps[:,:timesteps-1],test_data_timesteps[:,[timesteps-1]] + +print(x_train.shape, y_train.shape) +print(x_test.shape, y_test.shape) +``` + +```output +(1412, 4) (1412, 1) +(44, 4) (44, 1) +``` + +### Implement SVR [^1] + +Now, it's time to implement SVR. To read more about this implementation, you can refer to [this documentation](https://scikit-learn.org/stable/modules/generated/sklearn.svm.SVR.html). For our implementation, we follow these steps: + + 1. Define the model by calling `SVR()` and passing in the model hyperparameters: kernel, gamma, c and epsilon + 2. Prepare the model for the training data by calling the `fit()` function + 3. Make predictions calling the `predict()` function + +Now we create an SVR model. Here we use the [RBF kernel](https://scikit-learn.org/stable/modules/svm.html#parameters-of-the-rbf-kernel), and set the hyperparameters gamma, C and epsilon as 0.5, 10 and 0.05 respectively. + +```python +model = SVR(kernel='rbf',gamma=0.5, C=10, epsilon = 0.05) +``` + +#### Fit the model on training data [^1] + +```python +model.fit(x_train, y_train[:,0]) +``` + +```output +SVR(C=10, cache_size=200, coef0=0.0, degree=3, epsilon=0.05, gamma=0.5, + kernel='rbf', max_iter=-1, shrinking=True, tol=0.001, verbose=False) +``` + +#### Make model predictions [^1] + +```python +y_train_pred = model.predict(x_train).reshape(-1,1) +y_test_pred = model.predict(x_test).reshape(-1,1) + +print(y_train_pred.shape, y_test_pred.shape) +``` + +```output +(1412, 1) (44, 1) +``` + +You've built your SVR! Now we need to evaluate it. + +### Evaluate your model [^1] + +For evaluation, first we will scale back the data to our original scale. Then, to check the performance, we will plot the original and predicted time series plot, and also print the MAPE result. + +Scale the predicted and original output: + +```python +# Scaling the predictions +y_train_pred = scaler.inverse_transform(y_train_pred) +y_test_pred = scaler.inverse_transform(y_test_pred) + +print(len(y_train_pred), len(y_test_pred)) +``` + +```python +# Scaling the original values +y_train = scaler.inverse_transform(y_train) +y_test = scaler.inverse_transform(y_test) + +print(len(y_train), len(y_test)) +``` + +#### Check model performance on training and testing data [^1] + +We extract the timestamps from the dataset to show in the x-axis of our plot. Note that we are using the first ```timesteps-1``` values as out input for the first output, so the timestamps for the output will start after that. + +```python +train_timestamps = energy[(energy.index < test_start_dt) & (energy.index >= train_start_dt)].index[timesteps-1:] +test_timestamps = energy[test_start_dt:].index[timesteps-1:] + +print(len(train_timestamps), len(test_timestamps)) +``` + +```output +1412 44 +``` + +Plot the predictions for training data: + +```python +plt.figure(figsize=(25,6)) +plt.plot(train_timestamps, y_train, color = 'red', linewidth=2.0, alpha = 0.6) +plt.plot(train_timestamps, y_train_pred, color = 'blue', linewidth=0.8) +plt.legend(['Actual','Predicted']) +plt.xlabel('Timestamp') +plt.title("Training data prediction") +plt.show() +``` + +![training data prediction](images/train-data-predict.png) + +Print MAPE for training data + +```python +print('MAPE for training data: ', mape(y_train_pred, y_train)*100, '%') +``` + +```output +MAPE for training data: 1.7195710200875551 % +``` + +Plot the predictions for testing data + +```python +plt.figure(figsize=(10,3)) +plt.plot(test_timestamps, y_test, color = 'red', linewidth=2.0, alpha = 0.6) +plt.plot(test_timestamps, y_test_pred, color = 'blue', linewidth=0.8) +plt.legend(['Actual','Predicted']) +plt.xlabel('Timestamp') +plt.show() +``` + +![testing data prediction](images/test-data-predict.png) + +Print MAPE for testing data + +```python +print('MAPE for testing data: ', mape(y_test_pred, y_test)*100, '%') +``` + +```output +MAPE for testing data: 1.2623790187854018 % +``` + +🏆 You have a very good result on the testing dataset! + +### Check model performance on full dataset [^1] + +```python +# Extracting load values as numpy array +data = energy.copy().values + +# Scaling +data = scaler.transform(data) + +# Transforming to 2D tensor as per model input requirement +data_timesteps=np.array([[j for j in data[i:i+timesteps]] for i in range(0,len(data)-timesteps+1)])[:,:,0] +print("Tensor shape: ", data_timesteps.shape) + +# Selecting inputs and outputs from data +X, Y = data_timesteps[:,:timesteps-1],data_timesteps[:,[timesteps-1]] +print("X shape: ", X.shape,"\nY shape: ", Y.shape) +``` + +```output +Tensor shape: (26300, 5) +X shape: (26300, 4) +Y shape: (26300, 1) +``` + +```python +# Make model predictions +Y_pred = model.predict(X).reshape(-1,1) + +# Inverse scale and reshape +Y_pred = scaler.inverse_transform(Y_pred) +Y = scaler.inverse_transform(Y) +``` + +```python +plt.figure(figsize=(30,8)) +plt.plot(Y, color = 'red', linewidth=2.0, alpha = 0.6) +plt.plot(Y_pred, color = 'blue', linewidth=0.8) +plt.legend(['Actual','Predicted']) +plt.xlabel('Timestamp') +plt.show() +``` + +![full data prediction](images/full-data-predict.png) + +```python +print('MAPE: ', mape(Y_pred, Y)*100, '%') +``` + +```output +MAPE: 2.0572089029888656 % +``` + + + +🏆 Very nice plots, showing a model with good accuracy. Well done! + +--- + +## 🚀Challenge + +- Try to tweak the hyperparameters (gamma, C, epsilon) while creating the model and evaluate on the data to see which set of hyperparameters give the best results on the testing data. To know more about these hyperparameters, you can refer to the document [here](https://scikit-learn.org/stable/modules/svm.html#parameters-of-the-rbf-kernel). +- Try to use different kernel functions for the model and analyze their performances on the dataset. A helpful document can be found [here](https://scikit-learn.org/stable/modules/svm.html#kernel-functions). +- Try using different values for `timesteps` for the model to look back to make prediction. + +## [Post-lecture quiz](https://white-water-09ec41f0f.azurestaticapps.net/quiz/52/) + +## Review & Self Study + +This lesson was to introduce the application of SVR for Time Series Forecasting. To read more about SVR, you can refer to [this blog](https://www.analyticsvidhya.com/blog/2020/03/support-vector-regression-tutorial-for-machine-learning/). This [documentation on scikit-learn](https://scikit-learn.org/stable/modules/svm.html) provides a more comprehensive explanation about SVMs in general, [SVRs](https://scikit-learn.org/stable/modules/svm.html#regression) and also other implementation details such as the different [kernel functions](https://scikit-learn.org/stable/modules/svm.html#kernel-functions) that can be used, and their parameters. + +## Assignment + +[A new SVR model](assignment.md) + + + +## Credits + + +[^1]: The text, code and output in this section was contributed by [@AnirbanMukherjeeXD](https://github.com/AnirbanMukherjeeXD) +[^2]: The text, code and output in this section was taken from [ARIMA](https://github.com/microsoft/ML-For-Beginners/tree/main/7-TimeSeries/2-ARIMA) \ No newline at end of file diff --git a/7-TimeSeries/3-SVR/assignment.md b/7-TimeSeries/3-SVR/assignment.md new file mode 100644 index 000000000..4cb129f44 --- /dev/null +++ b/7-TimeSeries/3-SVR/assignment.md @@ -0,0 +1,14 @@ +# A new SVR model + +## Instructions [^1] + +Now that you have built an SVR model, build a new one with fresh data (try one of [these datasets from Duke](http://www2.stat.duke.edu/~mw/ts_data_sets.html). Annotate your work in a notebook, visualize the data and your model, and test its accuracy using appropriate plots and MAPE. Also try tweaking the different hyperparameters and also using different values for the timesteps. +## Rubric [^1] + +| Criteria | Exemplary | Adequate | Needs Improvement | +| -------- | ------------------------------------------------------------ | --------------------------------------------------------- | ----------------------------------- | +| | A notebook is presented with an SVR model built, tested and explained with visualizations and accuracy stated. | The notebook presented is not annotated or contains bugs. | An incomplete notebook is presented | + + + +[^1]:The text in this section was based on the [assignment from ARIMA](https://github.com/microsoft/ML-For-Beginners/tree/main/7-TimeSeries/2-ARIMA/assignment.md) diff --git a/7-TimeSeries/3-SVR/images/full-data-predict.png b/7-TimeSeries/3-SVR/images/full-data-predict.png new file mode 100644 index 0000000000000000000000000000000000000000..2bb367642e87b34f39af19eeac4051778389f7f6 GIT binary patch literal 108107 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load
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2012-01-01 04:00:002403.0
\n", + "" + ], + "text/plain": [ + " load\n", + "2012-01-01 00:00:00 2698.0\n", + "2012-01-01 01:00:00 2558.0\n", + "2012-01-01 02:00:00 2444.0\n", + "2012-01-01 03:00:00 2402.0\n", + "2012-01-01 04:00:00 2403.0" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "energy = load_data('../../data')[['load']]\n", + "energy.head(5)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "O0BWP13rGnh4" + }, + "source": [ + "### Plot the data" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 486 + }, + "id": "hGaNPKu_Gidk", + "outputId": "7f89b326-9057-4f49-efbe-cb100ebdf76d" + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "energy.plot(y='load', subplots=True, figsize=(15, 8), fontsize=12)\n", + "plt.xlabel('timestamp', fontsize=12)\n", + "plt.ylabel('load', fontsize=12)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "IPuNor4eGwYY" + }, + "source": [ + "### Create training and testing data" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "id": "ysvsNyONGt0Q" + }, + "outputs": [], + "source": [ + "train_start_dt = '2014-11-01 00:00:00'\n", + "test_start_dt = '2014-12-30 00:00:00'" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 548 + }, + "id": "SsfdLoPyGy9w", + "outputId": "d6d6c25b-b1f4-47e5-91d1-707e043237d7" + }, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "energy[(energy.index < test_start_dt) & (energy.index >= train_start_dt)][['load']].rename(columns={'load':'train'}) \\\n", + " .join(energy[test_start_dt:][['load']].rename(columns={'load':'test'}), how='outer') \\\n", + " .plot(y=['train', 'test'], figsize=(15, 8), fontsize=12)\n", + "plt.xlabel('timestamp', fontsize=12)\n", + "plt.ylabel('load', fontsize=12)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "XbFTqBw6G1Ch" + }, + "source": [ + "### Preparing data for training" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, you need to prepare the data for training by performing filtering and scaling of your data." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "cYivRdQpHDj3", + "outputId": "a138f746-461c-4fd6-bfa6-0cee094c4aa1" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Training data shape: (1416, 1)\n", + "Test data shape: (48, 1)\n" + ] + } + ], + "source": [ + "train = energy.copy()[(energy.index >= train_start_dt) & (energy.index < test_start_dt)][['load']]\n", + "test = energy.copy()[energy.index >= test_start_dt][['load']]\n", + "\n", + "print('Training data shape: ', train.shape)\n", + "print('Test data shape: ', test.shape)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Scale the data to be in the range (0, 1)." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 363 + }, + "id": "3DNntGQnZX8G", + "outputId": "210046bc-7a66-4ccd-d70d-aa4a7309949c" + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " load\n", + "2014-12-30 00:00:00 0.329454\n", + "2014-12-30 01:00:00 0.290063\n", + "2014-12-30 02:00:00 0.273948\n", + "2014-12-30 03:00:00 0.268129\n", + "2014-12-30 04:00:00 0.302596" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "test['load'] = scaler.transform(test)\n", + "test.head(5)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "x0n6jqxOQ41Z" + }, + "source": [ + "### Creating data with time-steps" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "fdmxTZtOQ8xs" + }, + "source": [ + " For our SVR, we transform the input data to be of the form `[batch, timesteps]`. So, we reshape the existing `train_data` and `test_data` such that there is a new dimension which refers to the timesteps. For our example, we take `timesteps = 5`. So, the inputs to the model are the data for the first 4 timesteps, and the output will be the data for the 5th timestep." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "id": "Rpju-Sc2HFm0" + }, + "outputs": [], + "source": [ + "# Converting to numpy arrays\n", + "\n", + "train_data = train.values\n", + "test_data = test.values" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "# Selecting the timesteps\n", + "\n", + "timesteps=5" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "O-JrsrsVJhUQ", + "outputId": "c90dbe71-bacc-4ec4-b452-f82fe5aefaef" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(1412, 5)" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Converting data to 2D tensor\n", + "\n", + "train_data_timesteps=np.array([[j for j in train_data[i:i+timesteps]] for i in range(0,len(train_data)-timesteps+1)])[:,:,0]\n", + "train_data_timesteps.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "exJD8AI7KE4g", + "outputId": "ce90260c-f327-427d-80f2-77307b5a6318" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(44, 5)" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Converting test data to 2D tensor\n", + "\n", + "test_data_timesteps=np.array([[j for j in test_data[i:i+timesteps]] for i in range(0,len(test_data)-timesteps+1)])[:,:,0]\n", + "test_data_timesteps.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "id": "2u0R2sIsLuq5" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(1412, 4) (1412, 1)\n", + "(44, 4) (44, 1)\n" + ] + } + ], + "source": [ + "x_train, y_train = train_data_timesteps[:,:timesteps-1],train_data_timesteps[:,[timesteps-1]]\n", + "x_test, y_test = test_data_timesteps[:,:timesteps-1],test_data_timesteps[:,[timesteps-1]]\n", + "\n", + "print(x_train.shape, y_train.shape)\n", + "print(x_test.shape, y_test.shape)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "8wIPOtAGLZlh" + }, + "source": [ + "## Creating SVR model" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "id": "EhA403BEPEiD" + }, + "outputs": [], + "source": [ + "# Create model using RBF kernel\n", + "\n", + "model = SVR(kernel='rbf',gamma=0.5, C=10, epsilon = 0.05)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "GS0UA3csMbqp", + "outputId": "d86b6f05-5742-4c1d-c2db-c40510bd4f0d" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "SVR(C=10, cache_size=200, coef0=0.0, degree=3, epsilon=0.05, gamma=0.5,\n", + " kernel='rbf', max_iter=-1, shrinking=True, tol=0.001, verbose=False)" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Fit model on training data\n", + "\n", + "model.fit(x_train, y_train[:,0])" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Rz_x8S3UrlcF" + }, + "source": [ + "### Make model prediction" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "XR0gnt3MnuYS", + "outputId": "157e40ab-9a23-4b66-a885-0d52a24b2364" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(1412, 1) (44, 1)\n" + ] + } + ], + "source": [ + "# Making predictions\n", + "\n", + "y_train_pred = model.predict(x_train).reshape(-1,1)\n", + "y_test_pred = model.predict(x_test).reshape(-1,1)\n", + "\n", + "print(y_train_pred.shape, y_test_pred.shape)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "_2epncg-SGzr" + }, + "source": [ + "## Analyzing model performance" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1412 44\n" + ] + } + ], + "source": [ + "# Scaling the predictions\n", + "\n", + "y_train_pred = scaler.inverse_transform(y_train_pred)\n", + "y_test_pred = scaler.inverse_transform(y_test_pred)\n", + "\n", + "print(len(y_train_pred), len(y_test_pred))" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "xmm_YLXhq7gV", + "outputId": "18392f64-4029-49ac-c71a-a4e2411152a1" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1412 44\n" + ] + } + ], + "source": [ + "# Scaling the original values\n", + "\n", + "y_train = scaler.inverse_transform(y_train)\n", + "y_test = scaler.inverse_transform(y_test)\n", + "\n", + "print(len(y_train), len(y_test))" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "u3LBj93coHEi", + "outputId": "d4fd49e8-8c6e-4bb0-8ef9-ca0b26d725b4" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1412 44\n" + ] + } + ], + "source": [ + "# Extract the timesteps for x-axis\n", + "\n", + "train_timestamps = energy[(energy.index < test_start_dt) & (energy.index >= train_start_dt)].index[timesteps-1:]\n", + "test_timestamps = energy[test_start_dt:].index[timesteps-1:]\n", + "\n", + "print(len(train_timestamps), len(test_timestamps))" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(25,6))\n", + "plt.plot(train_timestamps, y_train, color = 'red', linewidth=2.0, alpha = 0.6)\n", + "plt.plot(train_timestamps, y_train_pred, color = 'blue', linewidth=0.8)\n", + "plt.legend(['Actual','Predicted'])\n", + "plt.xlabel('Timestamp')\n", + "plt.title(\"Training data prediction\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "LnhzcnYtXHCm", + "outputId": "f5f0d711-f18b-4788-ad21-d4470ea2c02b" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "MAPE for training data: 1.7195710200875551 %\n" + ] + } + ], + "source": [ + "print('MAPE for training data: ', mape(y_train_pred, y_train)*100, '%')" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 225 + }, + "id": "53Q02FoqQH4V", + "outputId": "53e2d59b-5075-4765-ad9e-aed56c966583" + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10,3))\n", + "plt.plot(test_timestamps, y_test, color = 'red', linewidth=2.0, alpha = 0.6)\n", + "plt.plot(test_timestamps, y_test_pred, color = 'blue', linewidth=0.8)\n", + "plt.legend(['Actual','Predicted'])\n", + "plt.xlabel('Timestamp')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "clOAUH-SXCJG", + "outputId": "a3aa85ff-126a-4a4a-cd9e-90b9cc465ef5" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "MAPE for testing data: 1.2623790187854018 %\n" + ] + } + ], + "source": [ + "print('MAPE for testing data: ', mape(y_test_pred, y_test)*100, '%')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "DHlKvVCId5ue" + }, + "source": [ + "## Full dataset prediction" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "cOFJ45vreO0N", + "outputId": "35628e33-ecf9-4966-8036-f7ea86db6f16" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Tensor shape: (26300, 5)\n", + "X shape: (26300, 4) \n", + "Y shape: (26300, 1)\n" + ] + } + ], + "source": [ + "# Extracting load values as numpy array\n", + "data = energy.copy().values\n", + "\n", + "# Scaling\n", + "data = scaler.transform(data)\n", + "\n", + "# Transforming to 2D tensor as per model input requirement\n", + "data_timesteps=np.array([[j for j in data[i:i+timesteps]] for i in range(0,len(data)-timesteps+1)])[:,:,0]\n", + "print(\"Tensor shape: \", data_timesteps.shape)\n", + "\n", + "# Selecting inputs and outputs from data\n", + "X, Y = data_timesteps[:,:timesteps-1],data_timesteps[:,[timesteps-1]]\n", + "print(\"X shape: \", X.shape,\"\\nY shape: \", Y.shape)" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "id": "ESSAdQgwexIi" + }, + "outputs": [], + "source": [ + "# Make model predictions\n", + "Y_pred = model.predict(X).reshape(-1,1)\n", + "\n", + "# Inverse scale and reshape\n", + "Y_pred = scaler.inverse_transform(Y_pred)\n", + "Y = scaler.inverse_transform(Y)" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 328 + }, + "id": "M_qhihN0RVVX", + "outputId": "a89cb23e-1d35-437f-9d63-8b8907e12f80" + }, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(30,8))\n", + "plt.plot(Y, color = 'red', linewidth=2.0, alpha = 0.6)\n", + "plt.plot(Y_pred, color = 'blue', linewidth=1)\n", + "plt.legend(['Actual','Predicted'])\n", + "plt.xlabel('Timestamp')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "AcN7pMYXVGTK", + "outputId": "7e1c2161-47ce-496c-9d86-7ad9ae0df770" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "MAPE: 2.0572089029888656 %\n" + ] + } + ], + "source": [ + "print('MAPE: ', mape(Y_pred, Y)*100, '%')" + ] + } + ], + "metadata": { + "accelerator": "GPU", + "colab": { + "collapsed_sections": [], + "name": "Recurrent_Neural_Networks.ipynb", + "provenance": [] + }, + "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": "3.7.1" + } + }, + "nbformat": 4, + "nbformat_minor": 1 +} diff --git a/7-TimeSeries/3-SVR/translations/README.es.md b/7-TimeSeries/3-SVR/translations/README.es.md new file mode 100644 index 000000000..e69de29bb diff --git a/7-TimeSeries/3-SVR/working/notebook.ipynb b/7-TimeSeries/3-SVR/working/notebook.ipynb new file mode 100644 index 000000000..6700ad554 --- /dev/null +++ b/7-TimeSeries/3-SVR/working/notebook.ipynb @@ -0,0 +1,698 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "fv9OoQsMFk5A" + }, + "source": [ + "# Time series prediction using Support Vector Regressor" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In this notebook, we demonstrate how to:\n", + "\n", + "- prepare 2D time series data for training an SVM regressor model\n", + "- implement SVR using RBF kernel\n", + "- evaluate the model using plots and MAPE" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Importing modules" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import sys\n", + "sys.path.append('../../')" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "id": "M687KNlQFp0-" + }, + "outputs": [], + "source": [ + "import os\n", + "import warnings\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import pandas as pd\n", + "import datetime as dt\n", + "import math\n", + "\n", + "from sklearn.svm import SVR\n", + "from sklearn.preprocessing import MinMaxScaler\n", + "from common.utils import load_data, mape" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Cj-kfVdMGjWP" + }, + "source": [ + "## Preparing data" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "8fywSjC6GsRz" + }, + "source": [ + "### Load data" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 363 + }, + "id": "aBDkEB11Fumg", + "outputId": "99cf7987-0509-4b73-8cc2-75d7da0d2740" + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " load\n", + "2012-01-01 00:00:00 2698.0\n", + "2012-01-01 01:00:00 2558.0\n", + "2012-01-01 02:00:00 2444.0\n", + "2012-01-01 03:00:00 2402.0\n", + "2012-01-01 04:00:00 2403.0" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "energy = load_data('../../data')[['load']]\n", + "energy.head(5)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "O0BWP13rGnh4" + }, + "source": [ + "### Plot the data" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 486 + }, + "id": "hGaNPKu_Gidk", + "outputId": "7f89b326-9057-4f49-efbe-cb100ebdf76d" + }, + "outputs": [], + "source": [ + "energy.plot(y='load', subplots=True, figsize=(15, 8), fontsize=12)\n", + "plt.xlabel('timestamp', fontsize=12)\n", + "plt.ylabel('load', fontsize=12)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "IPuNor4eGwYY" + }, + "source": [ + "### Create training and testing data" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "ysvsNyONGt0Q" + }, + "outputs": [], + "source": [ + "train_start_dt = '2014-11-01 00:00:00'\n", + "test_start_dt = '2014-12-30 00:00:00'" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 548 + }, + "id": "SsfdLoPyGy9w", + "outputId": "d6d6c25b-b1f4-47e5-91d1-707e043237d7" + }, + "outputs": [], + "source": [ + "energy[(energy.index < test_start_dt) & (energy.index >= train_start_dt)][['load']].rename(columns={'load':'train'}) \\\n", + " .join(energy[test_start_dt:][['load']].rename(columns={'load':'test'}), how='outer') \\\n", + " .plot(y=['train', 'test'], figsize=(15, 8), fontsize=12)\n", + "plt.xlabel('timestamp', fontsize=12)\n", + "plt.ylabel('load', fontsize=12)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "XbFTqBw6G1Ch" + }, + "source": [ + "### Preparing data for training" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, you need to prepare the data for training by performing filtering and scaling of your data." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "cYivRdQpHDj3", + "outputId": "a138f746-461c-4fd6-bfa6-0cee094c4aa1" + }, + "outputs": [], + "source": [ + "train = energy.copy()[(energy.index >= train_start_dt) & (energy.index < test_start_dt)][['load']]\n", + "test = energy.copy()[energy.index >= test_start_dt][['load']]\n", + "\n", + "print('Training data shape: ', train.shape)\n", + "print('Test data shape: ', test.shape)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Scale the data to be in the range (0, 1)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 363 + }, + "id": "3DNntGQnZX8G", + "outputId": "210046bc-7a66-4ccd-d70d-aa4a7309949c" + }, + "outputs": [], + "source": [ + "scaler = MinMaxScaler()\n", + "train['load'] = scaler.fit_transform(train)\n", + "train.head(5)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 206 + }, + "id": "26Yht-rzZexe", + "outputId": "20326077-a38a-4e78-cc5b-6fd7af95d301" + }, + "outputs": [], + "source": [ + "test['load'] = scaler.transform(test)\n", + "test.head(5)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "x0n6jqxOQ41Z" + }, + "source": [ + "### Creating data with time-steps" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "fdmxTZtOQ8xs" + }, + "source": [ + " For our SVR, we transform the input data to be of the form `[batch, timesteps]`. So, we reshape the existing `train_data` and `test_data` such that there is a new dimension which refers to the timesteps. For our example, we take `timesteps = 5`. So, the inputs to the model are the data for the first 4 timesteps, and the output will be the data for the 5th timestep." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "Rpju-Sc2HFm0" + }, + "outputs": [], + "source": [ + "# Converting to numpy arrays\n", + "\n", + "train_data = train.values\n", + "test_data = test.values" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Selecting the timesteps\n", + "\n", + "timesteps=None" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "O-JrsrsVJhUQ", + "outputId": "c90dbe71-bacc-4ec4-b452-f82fe5aefaef" + }, + "outputs": [], + "source": [ + "# Converting data to 2D tensor\n", + "\n", + "train_data_timesteps=None" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "exJD8AI7KE4g", + "outputId": "ce90260c-f327-427d-80f2-77307b5a6318" + }, + "outputs": [], + "source": [ + "# Converting test data to 2D tensor\n", + "\n", + "test_data_timesteps=None" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "2u0R2sIsLuq5" + }, + "outputs": [], + "source": [ + "x_train, y_train = None\n", + "x_test, y_test = None\n", + "\n", + "print(x_train.shape, y_train.shape)\n", + "print(x_test.shape, y_test.shape)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "8wIPOtAGLZlh" + }, + "source": [ + "## Creating SVR model" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "EhA403BEPEiD" + }, + "outputs": [], + "source": [ + "# Create model using RBF kernel\n", + "\n", + "model = None" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "GS0UA3csMbqp", + "outputId": "d86b6f05-5742-4c1d-c2db-c40510bd4f0d" + }, + "outputs": [], + "source": [ + "# Fit model on training data" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Rz_x8S3UrlcF" + }, + "source": [ + "### Make model prediction" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "XR0gnt3MnuYS", + "outputId": "157e40ab-9a23-4b66-a885-0d52a24b2364" + }, + "outputs": [], + "source": [ + "# Making predictions\n", + "\n", + "y_train_pred = None\n", + "y_test_pred = None" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "_2epncg-SGzr" + }, + "source": [ + "## Analyzing model performance" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Scaling the predictions\n", + "\n", + "y_train_pred = scaler.inverse_transform(y_train_pred)\n", + "y_test_pred = scaler.inverse_transform(y_test_pred)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "xmm_YLXhq7gV", + "outputId": "18392f64-4029-49ac-c71a-a4e2411152a1" + }, + "outputs": [], + "source": [ + "# Scaling the original values\n", + "\n", + "y_train = scaler.inverse_transform(y_train)\n", + "y_test = scaler.inverse_transform(y_test)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "u3LBj93coHEi", + "outputId": "d4fd49e8-8c6e-4bb0-8ef9-ca0b26d725b4" + }, + "outputs": [], + "source": [ + "# Extract the timesteps for x-axis\n", + "\n", + "train_timestamps = None\n", + "test_timestamps = None" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "plt.figure(figsize=(25,6))\n", + "# plot original output\n", + "# plot predicted output\n", + "plt.legend(['Actual','Predicted'])\n", + "plt.xlabel('Timestamp')\n", + "plt.title(\"Training data prediction\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "LnhzcnYtXHCm", + "outputId": "f5f0d711-f18b-4788-ad21-d4470ea2c02b" + }, + "outputs": [], + "source": [ + "print('MAPE for training data: ', mape(y_train_pred, y_train)*100, '%')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 225 + }, + "id": "53Q02FoqQH4V", + "outputId": "53e2d59b-5075-4765-ad9e-aed56c966583" + }, + "outputs": [], + "source": [ + "plt.figure(figsize=(10,3))\n", + "# plot original output\n", + "# plot predicted output\n", + "plt.legend(['Actual','Predicted'])\n", + "plt.xlabel('Timestamp')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "clOAUH-SXCJG", + "outputId": "a3aa85ff-126a-4a4a-cd9e-90b9cc465ef5" + }, + "outputs": [], + "source": [ + "print('MAPE for testing data: ', mape(y_test_pred, y_test)*100, '%')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "DHlKvVCId5ue" + }, + "source": [ + "## Full dataset prediction" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "cOFJ45vreO0N", + "outputId": "35628e33-ecf9-4966-8036-f7ea86db6f16" + }, + "outputs": [], + "source": [ + "# Extracting load values as numpy array\n", + "data = None\n", + "\n", + "# Scaling\n", + "data = None\n", + "\n", + "# Transforming to 2D tensor as per model input requirement\n", + "data_timesteps=None\n", + "\n", + "# Selecting inputs and outputs from data\n", + "X, Y = None, None" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "ESSAdQgwexIi" + }, + "outputs": [], + "source": [ + "# Make model predictions\n", + "\n", + "# Inverse scale and reshape\n", + "Y_pred = None\n", + "Y = None" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 328 + }, + "id": "M_qhihN0RVVX", + "outputId": "a89cb23e-1d35-437f-9d63-8b8907e12f80" + }, + "outputs": [], + "source": [ + "plt.figure(figsize=(30,8))\n", + "# plot original output\n", + "# plot predicted output\n", + "plt.legend(['Actual','Predicted'])\n", + "plt.xlabel('Timestamp')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "AcN7pMYXVGTK", + "outputId": "7e1c2161-47ce-496c-9d86-7ad9ae0df770" + }, + "outputs": [], + "source": [ + "print('MAPE: ', mape(Y_pred, Y)*100, '%')" + ] + } + ], + "metadata": { + "accelerator": "GPU", + "colab": { + "collapsed_sections": [], + "name": "Recurrent_Neural_Networks.ipynb", + "provenance": [] + }, + "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": "3.7.1" + } + }, + "nbformat": 4, + "nbformat_minor": 1 +} diff --git a/7-TimeSeries/README.md b/7-TimeSeries/README.md index 5c410cb9a..e21c34f57 100644 --- a/7-TimeSeries/README.md +++ b/7-TimeSeries/README.md @@ -16,6 +16,7 @@ Photo by 0 else '' + shift = str(t) if t != 0 else '' + period = 't'+sign+shift + shifted_col = name+'_'+col+'_'+period + df[shifted_col] = df[col].shift(t*-1, freq=freq) + idx_tuples.append((name, col, period)) + + df = df.drop(self.dataset.columns, axis=1) + idx = pd.MultiIndex.from_tuples(idx_tuples, names=['tensor', 'feature', 'time step']) + df.columns = idx + + if drop_incomplete: + df = df.dropna(how='any') + + return df + + def _df2tensors(self, dataframe): + + # Transform the shifted Pandas dataframe into the multidimensional numpy arrays. These + # arrays can be used to input into the keras model and can be accessed by tensor name. + # For example, for a TimeSeriesTensor object named "model_inputs" and a tensor named + # "target", the input tensor can be acccessed with model_inputs['target'] + + inputs = {} + y = dataframe['target'] + y = y.as_matrix() + inputs['target'] = y + + for name, structure in self.tensor_structure.items(): + rng = structure[0] + cols = structure[1] + tensor = dataframe[name][cols].as_matrix() + if rng is None: + tensor = tensor.reshape(tensor.shape[0], len(cols)) + else: + tensor = tensor.reshape(tensor.shape[0], len(cols), len(rng)) + tensor = np.transpose(tensor, axes=[0, 2, 1]) + inputs[name] = tensor + + return inputs + + def subset_data(self, new_dataframe): + + # Use this function to recreate the input tensors if the shifted dataframe + # has been filtered. + + self.dataframe = new_dataframe + self.data = self._df2tensors(self.dataframe) diff --git a/7-TimeSeries/data/energy.csv 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15:00:00,3912.0,25.0 +2014-12-31 16:00:00,4141.0,23.666666667 +2014-12-31 17:00:00,4319.0,22.333333333 +2014-12-31 18:00:00,4199.0,20.0 +2014-12-31 19:00:00,4012.0,18.0 +2014-12-31 20:00:00,3856.0,16.666666667 +2014-12-31 21:00:00,3671.0,17.0 +2014-12-31 22:00:00,3499.0,15.333333333 +2014-12-31 23:00:00,3345.0,15.333333333 diff --git a/quiz-app/src/assets/translations/en.json b/quiz-app/src/assets/translations/en.json index 337b08675..640c90f07 100644 --- a/quiz-app/src/assets/translations/en.json +++ b/quiz-app/src/assets/translations/en.json @@ -2809,6 +2809,120 @@ ] } ] + }, + { + "id": 51, + "title": "Time Series SVR: Pre-Lecture Quiz", + "quiz": [ + { + "questionText": "SVM stands for", + "answerOptions": [ + { + "answerText": "Statistical Vector Machine", + "isCorrect": "false" + }, + { + "answerText": "Support Vector Machine", + "isCorrect": "true" + }, + { + "answerText": "Statistical Vector Model", + "isCorrect": "false" + } + ] + }, + { + "questionText": "Which of these ML techniques is used to predict continuous values?", + "answerOptions": [ + { + "answerText": "Clustering", + "isCorrect": "false" + }, + { + "answerText": "Classification", + "isCorrect": "false" + }, + { + "answerText": "Regression", + "isCorrect": "true" + } + ] + }, + { + "questionText": "Which of these models is popularly used for time series forecasting?", + "answerOptions": [ + { + "answerText": "ARIMA", + "isCorrect": "true" + }, + { + "answerText": "K-Means Clustering", + "isCorrect": "false" + }, + { + "answerText": "Logistic Regression", + "isCorrect": "false" + } + ] + } + ] + }, + { + "id": 52, + "title": "Time Series SVR: Post-Lecture Quiz", + "quiz": [ + { + "questionText": "By which of these methods does an SVR learn?", + "answerOptions": [ + { + "answerText": "Finding the best fit hyperplane that has the maximum number of data points", + "isCorrect": "true" + }, + { + "answerText": "Learning the probability distribution of the dataset", + "isCorrect": "false" + }, + { + "answerText": "Finding clusters in the dataset", + "isCorrect": "false" + } + ] + }, + { + "questionText": "What is the purpose of a kernel in SVMs?", + "answerOptions": [ + { + "answerText": "To measure the accuracy of the model predictions", + "isCorrect": "false" + }, + { + "answerText": "To transform the dataset to a higher dimension space", + "isCorrect": "true" + }, + { + "answerText": "To standardize the values of the dataset", + "isCorrect": "false" + } + ] + }, + { + "questionText": "Which of these models consider the non-linearity in the dataset?", + "answerOptions": [ + { + "answerText": "Simple Linear Regression", + "isCorrect": "false" + }, + { + "answerText": "ARIMA", + "isCorrect": "false" + }, + { + "answerText": "SVR using RBF kernel", + "isCorrect": "true" + } + ] + } + ] } ] }

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