I would like to make a forest plot with hazard ratios from different Cox regression models (unadjusted, adjusted) using ggplot2. However, I could not find function from ggplot2 that could allow to draft such forest plot.
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So i have a dataset that represents x-y-z coordinates of a linear motion. The dataset is noisy and i am trying to extract a smooth trajectory as close as possible to the real trajectory using a bezier curve and fitting each point as a control point of the curve. The results are moderately satisfying so i was wondering whether a pre-filtering with a lowpass butterworth will show any better results.
In general is it useful to combine a smoothing technique like bezier or cubic smoothing splines with low pass filtering?
I am using tensorflow for regression of a single scalar variable y. Is there a way to use tensorboard to visualize the regression in the form of a point cloud, one axis being the ground truth and the other being the estimate?
Tensorboard has the ability to show images. So a solution is to plot the graph in matplotlib, rendering it as a PNG image and importing the result in tensorboard.
The topic is covered in this question and its answers.
Is it possible to plot more than two scalars in the same plot? More specifically. it could allow:
training loss and test loss being plotted together
regularization loss and top level loss to be plotted together.
maybe adding accuracy on the right vertical axis
Just name a few. This would help a lot.
The github documentation for TensorBoard says that it only overlaps plots from different runs with the same tag name, so this won't work. If you'd like this feature please file a bug.
I have a a classification function that classify a data point into one of two classes. The problem is, I need a way to plot the decision boundary of two class. While this is easy for linear function. it's cumbersome to find the equation of the boundary. ezplot package in matlab seems to be able to do it. It will plot the result automatically. It works using linear and quadratic function. It doesn't require you to provide the coordinate. In matplotlib, you can only plot if you are given the coordinate. Does anyone know how to do this with matplotlib?
What are the different alternatives available for 3D plotting in python matplotlib? I am using scatterplot and would like to know more about other types of 3d plots. I checked the site http://matplotlib.org/mpl_toolkits/mplot3d/tutorial.html but could not get effective results as I was not able to interpret results effectively. Please let me know of some good 3D plots. Also I would like to try multidimensional plotting and have heard that scatterplot matrix is very effective. Please give some good examples demonstrating the same.