{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": true }, "outputs": [], "source": [ "%matplotlib inline\n", "\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "import numpy as np\n", "import pandas as pd\n", "\n", "import sys\n", "sys.path.append('/Users/kaonpark/workspace/github.com/likejazz/kaon-learn')\n", "import kaonlearn\n", "from kaonlearn.plots import plot_decision_regions, plot_history" ] }, { "cell_type": "code", "execution_count": 112, "metadata": { "collapsed": true }, "outputs": [], "source": [ "X_train = np.array([0,1,2,3,5,6,7,8,10,11,12,13,14,15,17,19,20,21,22,23,24,25,26,27,28,29,30])\n", "y_train = np.sin(X_train)\n", "\n", "X_test = np.array([4,9,16,18])\n", "y_test = np.sin(X_test)\n", "\n", "X_data = np.concatenate((X_train, X_test))\n", "y_data = np.concatenate((y_train, y_test))\n", "\n", "# sorting for plot\n", "index = X_data.argsort()\n", "X_data.sort()\n", "y_data = y_data[index[::1]]" ] }, { "cell_type": "code", "execution_count": 113, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(27,)" ] }, "execution_count": 113, "metadata": {}, "output_type": "execute_result" } ], "source": [ "X_train.shape" ] }, { "cell_type": "code", "execution_count": 114, "metadata": { "collapsed": true }, "outputs": [], "source": [ "from keras.preprocessing import sequence\n", "from keras.models import Sequential\n", "from keras.layers import Dense, Dropout, Embedding, LSTM, Bidirectional, SimpleRNN, GRU\n", "from keras.layers.core import Activation, Flatten\n", "from keras.datasets import imdb\n", "from keras_tqdm import TQDMNotebookCallback\n", "from keras.models import Sequential" ] }, { "cell_type": "code", "execution_count": 115, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "((27, 1, 1), (4, 1, 1))" ] }, "execution_count": 115, "metadata": {}, "output_type": "execute_result" } ], "source": [ "X_train = X_train.reshape(X_train.shape[0],1,1)\n", "X_test = X_test.reshape(X_test.shape[0],1,1)\n", "\n", "X_train.shape, X_test.shape" ] }, { "cell_type": "code", "execution_count": 116, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([ 4, 9, 16, 18])" ] }, "execution_count": 116, "metadata": {}, "output_type": "execute_result" } ], "source": [ "X_test.reshape(-1)" ] }, { "cell_type": "code", "execution_count": 117, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/usr/local/lib/python3.6/site-packages/ipykernel_launcher.py:3: UserWarning: The `input_dim` and `input_length` arguments in recurrent layers are deprecated. Use `input_shape` instead.\n", " This is separate from the ipykernel package so we can avoid doing imports until\n", "/usr/local/lib/python3.6/site-packages/ipykernel_launcher.py:3: UserWarning: Update your `LSTM` call to the Keras 2 API: `LSTM(10, return_sequences=True, input_shape=(1, 1))`\n", " This is separate from the ipykernel package so we can avoid doing imports until\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "_________________________________________________________________\n", "Layer (type) Output Shape Param # \n", "=================================================================\n", "lstm_16 (LSTM) (None, 1, 10) 480 \n", "_________________________________________________________________\n", "flatten_12 (Flatten) (None, 10) 0 \n", "_________________________________________________________________\n", "dense_65 (Dense) (None, 10) 110 \n", "_________________________________________________________________\n", "dense_66 (Dense) (None, 1) 11 \n", "=================================================================\n", "Total params: 601\n", "Trainable params: 601\n", "Non-trainable params: 0\n", "_________________________________________________________________\n" ] } ], "source": [ "model = Sequential()\n", "# model.add(Dense(1000, input_dim=1, activation='relu'))\n", "model.add(LSTM(10, input_dim=1, input_length=1, return_sequences=True))\n", "model.add(Flatten())\n", "model.add(Dense(10, activation='relu'))\n", "model.add(Dense(1))\n", "\n", "model.compile(loss='mean_squared_error', optimizer='adam', metrics=['accuracy'])\n", "model.summary()" ] }, { "cell_type": "code", "execution_count": 118, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "3453bbff7e8c4b9ab38332fbc3449427" } }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n" ] } ], "source": [ "history = model.fit(X_train, y_train, epochs=100, verbose=0, validation_split=0.1,\n", " callbacks=[TQDMNotebookCallback(show_inner=False)])" ] }, { "cell_type": "code", "execution_count": 119, "metadata": {}, "outputs": [ { "data": { "image/png": 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L74azZWCZy+eG2x/82RvwwSf54A344PA6gkf9kv+M561PJkCAQdTDojUjzZLa7hruBEM8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\nQ4cORaq8LnH73dhdV4IBpn7ob0pRuhw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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_history(history)" ] }, { "cell_type": "code", "execution_count": 120, "metadata": {}, "outputs": [ { "data": { "image/png": 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Kby/K+HjKhFVs9OXpZ7QT9rSfeeYZJiYm2L59O7fffjv33XfflNf37t3LI488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\nkOuV44bvo90MWpeu2C8dRNSXnyOVl4XaHOG0IxE9PoGaP85ALi4m5qU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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.plot(X_data, y_data, 'ro-', label=\"target\")\n", "plt.plot(X_test.reshape(-1), model.predict(X_test), 'bs', label=\"predict\")\n", "\n", "plt.legend()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] } ], "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": "3.6.3" } }, "nbformat": 4, "nbformat_minor": 2 }