Overview of available functions

Ignition
1

Hi

I am trying out the newly added library Apache Math.
However, I am struggling a bit with getting an overview of what functions really exists.

I have found the documentation of Apache Math here:
http://commons.apache.org/proper/commons-math/javadocs/api-3.6.1/index.html

I have tried to import the machine learning module but I am getting an error that “No module named ml”. So apparently it does not exist?

Does a documentation exist for ignition that outlines what functions are actually available?

2

You have to import the specific classes you will use, not entire packages. Jython can’t do that with Java libraries. Nor can it use a wildcard import with them. You’ll probably also have to import many of the interfaces for data types you wish to use, so you can define python classes that implement them.

3

Okay, but isn’t this what Kathy Applebaun is doing here?:

image.png1000×961 272 KB

The image is taken from here: Ignition v7.9.8: Better Algorithm Access, Quicker Named Queries & More | Inductive Automation

4

Hmm. Yes. I’m surprised that works.

5

But that is the thing. It’s not:

image.png1056×599 11.9 KB

6

try it with this instead:

from org.apache.commons.math3.fitting import WeightObservedPoints, PolynomialCurveFitter
7

That did the trick!

So wildcards ain’t working. You were right. Thanks

1 Like
8

Just out of interest, I got this working but had to change a few things:

  • WeightedObservedPoint class name is without the ‘s’ at the end
  • WeightedObservedPoint has no empty constructor and contains a single pair of values, not a list of pairs
from org.apache.commons.math3.fitting import *

obs = []
x = [1552920192.0, 1552938624.0, 1552961664.0]
y = [12.85043621, 12.4644804, 11.92448521]

for i in [0,1,2]:
	obs.append(WeightedObservedPoint(1.0, x[i], y[i])) # WeightedObservedPoint not WeightedObservedPoint**s**

fitter = PolynomialCurveFitter.create(4)
coeff = fitter.fit(obs)
print coeff
2 Likes