Tests basic execution of residual plot data. Does not test correctness of values """residuals=res.Residuals(self.gsims,self.imts)residuals.get_residuals(self.database,component="Geometric")additional_keys=['mean
X and Y must both be 2-D with the same shape as Z, or they must both be 1-D such that len(X) is the number of columns in Z and len(Y) is the number of rows in Z. 2.我计算 z 的时候,输入的xx和yy和算出的z维度一直不匹配,z.reshape也没用,就无法画出等高线。后来输入时,改...
n_H_prev, n_W_prev, n_C_prev)f -- integer, specifying the shape of the middel CONV's window for the main pathfilters -- python list of integers, defining the number of filters in the CONV layers of the main pathstage
is_anom = [item in anom_ids for item in range(nx)] # Pandas DataFrame and plot raw_data = pd.Series(y, index = index) clean_data = raw_data[np.invert(is_anom)] raw_data.plot(figsize=(15,5)) clean_data.plot() raw_data[anom_ids].plot(style='o') plt.legend(['Raw Data',...
我的GitHub地址:https://github.com/taw19960426/DeepLearning存放与之对应的python代码 1.Regression 1.1 Introduction Machine Learning: define a set of function, goodness of function, pick the best function 选不同的function 其实就是选不同的model,model里面最简单的就是linear model;此外还有很多nonlinear mo...
plot_learning_curve(loss_record, title='loss', ylabel='CE Loss') <Figure size 720x432 with 1 Axes> In [20]plot_learning_curve(acc_record, title='acc', ylabel='Accuracy') <Figure size 720x432 with 1 Axes> In [21]def get_cifar10_labels(labels): """返回CIFAR10数据集的文本标签。
The first plot is to look at the residual forecast errors over time as a line plot. We would expect the plot to be random around the value of 0 and not show any trend or cyclic structure. The array of residual errors can be wrapped in a Pandas DataFrame and plotted directly. The code...
PlotWatcher() File "/usr/local/lib64/python2.5/site-packages/PyFoam/Applications/PlotWatcher.py", line 28, in __init__ PyFoamApplication.__init__(self,args=args,descript ion=description,usage="%prog [options] <logfile>",interspersed=True,nr=1) ...
from keras.utilsimportplot_model from resnets_utilsimport*from keras.initializersimportglorot_uniformimportscipy.misc from matplotlib.pyplotimportimshow%matplotlib inlineimportkeras.backendasKK.set_image_data_format('channels_last')K.set_learning_phase(1) ...
plot_learning_curve(acc_record, title='acc', ylabel='Accuracy') <Figure size 720x432 with 1 Axes> In [21] def get_cifar10_labels(labels): """返回CIFAR10数据集的文本标签。""" text_labels = [ 'airplane', 'automobile', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship...