Plotting model in Keras - plot

I'm trying to plot my model in Keras, like this:
# Plot model graph
tf.keras.utils.plot_model(model, to_file='Model1.png')
from IPython.display import Image
Image(retina=True, filename='Model1.png')
Which I get the following result: my model
But, I've seen somewhere in the internet, that someone plotted his model, like this: model I need
How can I change my code to plot like that? With the input/output information of each layer of my model?


You can use the parameter show_shapes=True.
from the tf.keras documentation:
show_shapes: whether to display shape information.
(have a closer look here: https://www.tensorflow.org/api_docs/python/tf/keras/utils/plot_model )

Related

spss: export cox regression survival function plot points

I want to export the plot points of a cox regression survival plot so i can use it in Graphpad Prism to make a nice graph out of it.
Question
How can i export the plot points?
is there maybe an easier way to export such a graph to edit it in graphpad?

You should add a save subcommand to your analysis syntax:
/SAVE=SURVIVAL
After running the analysis you will find new column(s) containing the survival data which you can then export and plot elsewhere.
If you look in the Menu for the analysis you can see a button called - click it to see all options of new variables to save, maybe you can find other data useful.

in Rstudio keras library what is ggplot2 code to generate history plot

tl;dr
What is the R code that takes the keras history form and produces not the tensorflow/keras plot shown below but the ggplot shown slightly farther below?
Details:
Rstudio has a wrapper for keras:
https://tensorflow.rstudio.com/guide/keras/
When training a model, it displays a plot of the loss and metrics over time. I think it is using plotly. I am not interested in the graph that has these stylings.
You can take the history object an plot it again, and it generates a new plot. If you have 'ggplot2' installed, then it uses ggplot.
I am looking for something like this, the product of ggplot2:
What is the R code that takes the keras history form and produces that ggplot?
I am not looking for the wrapper which is 'plot(history)', but the set of frame manipulations and input commands to ggplot that generate the output. It should contain something of the form'ggplot(history, aes(...)) + ...'

Phase plot in R

I want to make a phase plot like this https://en.wikipedia.org/wiki/Phase_portrait from an non-linear time series in R, Any ideas?
Thank you

you haven't given many details, but I suggest you look at the package phaseR.
I use it to draw isoclines and a flowfield of predator-prey models.
My graphs look like this (right one):

rpart not displaying a plot

I am new to R and I am trying to build a decision tree using rpart.
However when I plotted the model using plot(fit) where fit = model, the output displayed was all lines and no texts/ no variable names. Is there anything that must be wrong with my settings?

plotting cox proportional hazard model in R

I'm trying to plot a cox proportional hazard model in R. (or a logit model)
I used the following code (which I copied from https://sites.google.com/site/daishizuka/toolkits/plotting-logistic-regression-in-r)
c<-coxph(formula=Surv(year, promo)~prov.yrs, data=cul)
curve(predict(c, data.frame(prov.yrs=x), type="risk"), add=TRUE)
I get the error message
Error in plot.xy(xy.coords(x, y), type = type, ...) :
invalid graphics state
I believe there is something wrong with plotting this, so I was wondering if there is a way to plot this. I get the same error message when I use glm. Any help will be appreciated!!

The example you copied from shows a logistic regression, but you are fitting a coxph model, they are very different in how they are handled.
If you just want a plot of the the hazard ratio then your code will basically work (except you are adding to a plot that is not there, which may be what generates the error, try changing add to FALSE).
If you want to plot the survival curve(s) then use the survfit function to get the predicted survival information and plot that.

The error message suggests you did not have a device open or perhaps there was some other problem with the plot you were trying to add to? That code produces a plot over a range input [0,1] with a toy example I built from the coxph help page. Perhaps your range for the 'prov.yrs' is different than an existing plot, or there is no device open? Try plot.new(), plot whatever else you were going to use, and then rerun? (The add=TRUE will suppress plotting of the box, axes and labels.)

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