epsilon | Physically Based Spectral Renderer | Graphics library

I'm the developer of that package. It should work with lme4::lmer() equations. The issue here is with dropping the intercept but having it vary randomly at higher levels. See this issue for more details.

If you have suggestions for how you would expect the equation to render, I'm open to working out a fix. But for now, equatiomatic::extract_eq() assumes that whatever random effects you have also have corresponding fixed effects.

This line

Is this code with modern C++11/14/17/21 is still the way we should compare float and doubles, or now it's ok just to write if (double1 == double2) And compiler will handle the epsilon issue for us?

Both approaches function the same in modern C++ as they did in early C++.

Both approaches are also flawed.

• Using == assumes that your code has accounted for any floating point rounding errors, and it's very rare/difficult for code to do that.

• Comparing against epsilon assumes that a reasonable amount of rounding error will be less than the constant epsilon, and that is very likely a wrong assumption!

  • If your numbers have magnitude greater than 2.0, your epsilon trick will be no different from direct comparison, and have the same flaws. Regardless of whether you use < or <=.
  • If your numbers have the same sign and a magnitude smaller than epsilon, your epsilon trick will say they are always equal, even if one is hundreds of times larger than the other. They would both be equal to zero, too.

A wise approach may be to avoid writing code that depends on whether floating point numbers are equal. Instead test if they are relatively close, by some factor.

The code below will test whether two numbers are within about 0.01% of each other. Regardless of their scale.

If I understand the issue proberly, you could use a std::chrono::steady_clock that you just add a second to every time a second has passed.

Example:

I would suggest you to split your data to a couple separate datasets grouped by size and create distinct group (g element) for each one. This will also fix issues with circles highlighting.

I slightly updated your plunker to make it work as described (check the lines 91-167) https://plnkr.co/edit/rayo5IZQrBqfqBWR?open=lib%2Fscript.js&preview

Also check the raise and lower methods. They might be a good replacement for your moveToFront and moveToBack methods. https://riptutorial.com/d3-js/example/18029/svg--the-drawing-order

You probably want to use 'geom_errorbar' which will flip when 'coord_flip' is called as well.

An example from my own data is here:

One possible solution (or an idea) is to wrap your tensorflow operation into the Lambda layer and use it to build the keras model. Something like

You cannot use TensorSpec with PyEnvironment class objects, this is why your attempted solution does not work. A simple fix should be to use the original code

So after messing around, the answer seems to be very simple: `results1<-cj1["coefficients",]. This creates the list that I want. Akrun, if you read this, thank you for your support.