From a8a506e1c45bbc314b40a21d1e044d5e37956b39 Mon Sep 17 00:00:00 2001 From: Atsushi Sakai Date: Fri, 8 Dec 2017 20:59:50 -0800 Subject: [PATCH] remove unused codes --- .../NeuralNetworkRegression/simple_sample.py | 18 ------------------ .../NeuralNetworkRegression/simple_sample2.py | 17 ----------------- 2 files changed, 35 deletions(-) delete mode 100644 MachineLearning/NeuralNetworkRegression/simple_sample.py delete mode 100644 MachineLearning/NeuralNetworkRegression/simple_sample2.py diff --git a/MachineLearning/NeuralNetworkRegression/simple_sample.py b/MachineLearning/NeuralNetworkRegression/simple_sample.py deleted file mode 100644 index 078c13e0..00000000 --- a/MachineLearning/NeuralNetworkRegression/simple_sample.py +++ /dev/null @@ -1,18 +0,0 @@ -from sklearn.neural_network import MLPRegressor -from matplotlib import pyplot as plt - -# create Trainig Dataset -train_x = [[x] for x in range(200)] -train_y = [x[0]**2 for x in train_x] - -# create neural net regressor -reg = MLPRegressor(solver="lbfgs") -reg.fit(train_x, train_y) - -predict = reg.predict(train_x) - -plt.plot(train_x, predict, "xr", label="result") -plt.plot(train_x, train_y, label="Training data") -plt.legend() -plt.grid(True) -plt.show() diff --git a/MachineLearning/NeuralNetworkRegression/simple_sample2.py b/MachineLearning/NeuralNetworkRegression/simple_sample2.py deleted file mode 100644 index f1ddb8b0..00000000 --- a/MachineLearning/NeuralNetworkRegression/simple_sample2.py +++ /dev/null @@ -1,17 +0,0 @@ -from sklearn.neural_network import MLPRegressor -from matplotlib import pyplot as plt - -# create Trainig Dataset -train_x = [[x, x, x] for x in range(200)] -train_y = [[x[0]**2, x[1] ** 1.5, x[2] + 3] for x in train_x] - -# create neural net regressor -reg = MLPRegressor(solver="lbfgs") -reg.fit(train_x, train_y) -predict = reg.predict(train_x) - -plt.plot(train_x, predict, "xr", label="result") -plt.plot(train_x, train_y, label="Training data") -plt.legend() -plt.grid(True) -plt.show()