diff --git a/binary_data.p b/Data/binary_data.p similarity index 100% rename from binary_data.p rename to Data/binary_data.p diff --git a/binary_localizer_16_0.28892_1_54_7_12.hdf5 b/Data/binary_localizer_16_0.28892_1_54_7_12.hdf5 similarity index 100% rename from binary_localizer_16_0.28892_1_54_7_12.hdf5 rename to Data/binary_localizer_16_0.28892_1_54_7_12.hdf5 diff --git a/binary_localizer_16_0.28892_1_54_7_12.log b/Data/binary_localizer_16_0.28892_1_54_7_12.log similarity index 100% rename from binary_localizer_16_0.28892_1_54_7_12.log rename to Data/binary_localizer_16_0.28892_1_54_7_12.log diff --git a/genetic_trials_cv.p b/Data/genetic_trials_cv.p similarity index 100% rename from genetic_trials_cv.p rename to Data/genetic_trials_cv.p diff --git a/genetic_optimization_visualizer.ipynb b/Notebooks/genetic_optimization_visualizer.ipynb similarity index 52% rename from genetic_optimization_visualizer.ipynb rename to Notebooks/genetic_optimization_visualizer.ipynb index cbb94e0233561940ea5388901475544a6e05cb0b..e9f107002b4311a4f62c7ea0e211b51a97aae952 100644 --- a/genetic_optimization_visualizer.ipynb +++ b/Notebooks/genetic_optimization_visualizer.ipynb @@ -8,7 +8,7 @@ }, "outputs": [], "source": [ - "import pickle \n", + "import pickle, os\n", "import seaborn as sns\n", "import pandas as pd\n", "import numpy as np\n", @@ -17,14 +17,2911 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "metadata": { - "collapsed": true, "scrolled": true }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "..\\Data\\genetic_trials_cv.p\n" + ] + }, + { + "data": { + "text/plain": [ + "[{'exp_key': None,\n", + " 'result': {'loss': -0.5358448722153736,\n", + " 'f1_score': nan,\n", + " 'average_precision_score': 0.0328096,\n", + " 'recall_score': 0.0,\n", + " 'precision_score': 0.0,\n", + " 'status': 'ok',\n", + " 'auc_score': 0.49998709664612057},\n", + " 'owner': None,\n", + " 'spec': None,\n", 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'n_filters': [11.0]},\n", + " 'idxs': {'n_layers': [95],\n", + " 'batch_size': [95],\n", + " 'n_final_layer': [95],\n", + " 'droput_strength': [95],\n", + " 'learning_rate': [95],\n", + " 'n_filters': [95]}},\n", + " 'tid': 95,\n", + " 'version': 0,\n", + " 'book_time': datetime.datetime(2018, 8, 16, 22, 50, 21, 971000),\n", + " 'refresh_time': datetime.datetime(2018, 8, 16, 23, 26, 56, 330000),\n", + " 'state': 2}]" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "f = 'genetic_trials_cv.p'\n", + "f = os.path.join('..', 'Data', 'genetic_trials_cv.p')\n", + "print(f)\n", "data = pickle.load(open(f,'rb'))\n", "# data.trials" ] diff --git a/output_visualizer.ipynb b/Notebooks/output_visualizer.ipynb similarity index 99% rename from output_visualizer.ipynb rename to Notebooks/output_visualizer.ipynb index 2a27b5029d0002456cd4ce0d97547e7472aa9fac..7a6699251b489c6fce64d578654e784c7be7a7bb 100644 --- a/output_visualizer.ipynb +++ b/Notebooks/output_visualizer.ipynb @@ -2,13 +2,21 @@ "cells": [ { "cell_type": "code", - "execution_count": 6, + "execution_count": 1, "metadata": { "scrolled": false }, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Using TensorFlow backend.\n" + ] + } + ], "source": [ - "import keras,pickle\n", + "import keras, pickle, os\n", "import numpy as np\n", "from keras.models import load_model\n", "import matplotlib.pyplot as plt\n", @@ -22,7 +30,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 2, "metadata": { "collapsed": true }, @@ -55,7 +63,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 3, "metadata": { "scrolled": true }, @@ -64,6 +72,15 @@ "name": "stdout", "output_type": "stream", "text": [ + "WARNING:tensorflow:From C:\\Users\\Harrison\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\framework\\op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.\n", + "Instructions for updating:\n", + "Colocations handled automatically by placer.\n", + "WARNING:tensorflow:From C:\\Users\\Harrison\\Anaconda3\\lib\\site-packages\\keras\\backend\\tensorflow_backend.py:3445: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version.\n", + "Instructions for updating:\n", + "Please use `rate` instead of `keep_prob`. Rate should be set to `rate = 1 - keep_prob`.\n", + "WARNING:tensorflow:From C:\\Users\\Harrison\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\ops\\math_ops.py:3066: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n", + "Instructions for updating:\n", + "Use tf.cast instead.\n", "__________________________________________________________________________________________________\n", "Layer (type) Output Shape Param # Connected to \n", "==================================================================================================\n", @@ -381,8 +398,8 @@ } ], "source": [ - "model_loc = 'binary_localizer_16_0.28892_1_54_7_12.hdf5'\n", - "data_loc = 'binary_data.p'\n", + "model_loc = os.path.join('..', 'Data', 'binary_localizer_16_0.28892_1_54_7_12.hdf5')\n", + "data_loc = os.path.join('..', 'Data', 'binary_data.p')\n", "x_train,x_val,y_train,y_val = pickle.load(open(data_loc,'rb'))\n", "x_train = np.concatenate((x_train,x_val),axis=0)\n", "y_train = np.concatenate((y_train,y_val),axis=0)\n", @@ -392,7 +409,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -401,7 +418,7 @@ "(332, 125, 125, 1)" ] }, - "execution_count": 9, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -412,7 +429,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -421,7 +438,7 @@ "(83, 125, 125, 1)" ] }, - "execution_count": 10, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } diff --git a/training_log_plotter.ipynb b/Notebooks/training_log_plotter.ipynb similarity index 99% rename from training_log_plotter.ipynb rename to Notebooks/training_log_plotter.ipynb index 0c8a9997137bd7de57e39f02623fd2750354f9ff..a06232d7bc63885ea640a1f224ee4072e0d3e7db 100644 --- a/training_log_plotter.ipynb +++ b/Notebooks/training_log_plotter.ipynb @@ -12,6 +12,7 @@ "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import seaborn as sns\n", + "import os\n", "sns.set(style='darkgrid')" ] }, @@ -34,7 +35,7 @@ } ], "source": [ - "log_loc = 'binary_localizer_16_0.28892_1_54_7_12.log'\n", + "log_loc = os.path.join('..', 'Data', 'binary_localizer_16_0.28892_1_54_7_12.log')\n", "data = pd.read_csv(log_loc)\n", "plt.plot(data['epoch'], data['loss'])\n", "plt.plot(data['epoch'], data['val_loss'])\n", @@ -69,7 +70,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -870,7 +871,7 @@ "Text(0.5,0,'Epoch')" ] }, - "execution_count": 4, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } diff --git a/kfold_hyperopt_binary_localizer.py b/kfold_hyperopt_binary_localizer.py index 678c5f48cf58a83d0807ecd2a3e6865bb94b9dbf..479b62bd051b9e48c6357608f33bc5af9124bc79 100644 --- a/kfold_hyperopt_binary_localizer.py +++ b/kfold_hyperopt_binary_localizer.py @@ -14,7 +14,7 @@ from hyperopt import fmin, tpe, hp, STATUS_OK, Trials, STATUS_FAIL import time def get_data(split_n,params): - data_loc = 'binary_data.p' + data_loc = os.path.join('Data', 'binary_data.p') x_train,x_val,y_train,y_val = pickle.load(open(data_loc,'rb')) x_train = np.concatenate((x_train,x_val), 0) y_train = np.concatenate((y_train,y_val), 0) diff --git a/optimized_binary_localizer.py b/optimized_binary_localizer.py index 0ffda83b409dc44f740bcab5f4f162a8d36938f3..311eedec3131df7419309c4ab99630aabc5ced7f 100644 --- a/optimized_binary_localizer.py +++ b/optimized_binary_localizer.py @@ -1,6 +1,6 @@ # coding: utf-8 -import pickle +import pickle, os import keras from keras.layers import * from keras.optimizers import * @@ -64,7 +64,7 @@ tbCallBack = TensorBoard(log_dir='tensorboard/{}_{}'.format(id_str,str(initial_e save_loc = 'binary_localizer_{}.hdf5'.format(id_str) checkpointer = ModelCheckpoint(filepath=save_loc, verbose=1, save_best_only=True) -data_loc = 'binary_data.p' +data_loc = os.path.join('Data', 'binary_data.p') x_train,x_val,y_train,y_val = pickle.load(open(data_loc,'rb')) seed = 1