IrisData | Iris Data Example Python Numpy | Machine Learning library

So i wanted to revise my R knowledge with what I had seen in class last year, but I came across a problem. I wanted to generate a plot for a file about flowers, with colors in the plot specific for each flower (setosa, versicolor, virginica). This worked last year, but the exact same code now gives me an error:

I followed this guide (http://tutorials.jenkov.com/java-performance/jmh.html) and have opened a new project with that class MyBenchmark which looks like this:

I am trying to generate a much larger sample of data from my existing sample data. For example iris is N = 150 and I want to rescale it to 4500 (1500 per species). An example is described in the post here https://seslezak.github.io/IrisData/. I don't want to resample or bootstrap I'm interested in generating new values using for example rnorm Here is what I have tried until now.

I would like to train a model, with a large list of features, these features are if a specific keyword appears on a page or not. The feature list is so large that I cannot label all of them like suggested in the ML.NET tutorial here.

I have a python script that draws landmarks on the contours of eye region with image input got from ckpts files (model) using OpenCV. I want to draw those points ( landmarks ) in the same picture. I got predictions points from the picture and I tried to draw those points (x,y) using Canvas but the results are different. Difference between the two images:

Landmarks are drawn using python script (OpenCV)

Landmarks are draw using java code (Canvas)

I have tried many ways and I use Canvas library to draw points on imageview ( I loaded the same image in assets folder ) but this doesn't solve my problem..

This is a python code that shows how to draw landmarks on image:

I am working on a project to filter a number of worksheets/columns. First step is to identify the number of rows with values in the first column of the "Iris Data" worksheet, and build around that (as this will be used again with new data, deleted, and done again, etc.). The code I have now does not work, and returns the error "Run-time error '9': Subscript out of range". Because many examples use a generic "Sheet1", I tried copy/pasting the same data into a new sheet named "Sheet1" and it was successful. Unfortunately re-naming the sheets is not an option according to my supervisor. I could probably get away with changing it a little bit, but not much.

So my question is, is this a naming issue with the space in 'Iris Data'? Some other issue?

I tried changing to 'IrisData' or 'Iris_Data' and that is also returning RunTime error 9. I also tried setting 'Sheet1' = "Iris Data", and that also returns RunTime error 9.

I'm using .NET-Framework 4.6.1

After upgrading ML.NET to v0.10 I cannot run my code. I build my pipeline and then I have an error when executing Fit()-Method.

Message = "Method not found: \"System.Collections.Generic.IEnumerable1 System.Linq.Enumerable.Append(System.Collections.Generic.IEnumerable1, !!0)\"."

using System.Collections.Generic; is in my directives.

Am I missing something or should I stick with v0.9 for now?

Thanks

I would like to subset each element an array so that I am left with all values associated with the max of one property. I will be using this in a D3.js graphic that will have annotations at the max value of each grouping in my data.

For example, here is how I'd nest the Iris data set by species and then take only the max value of SepalLength.

You can find below the code I found on the internet to build a simple Neural network. Everyhting works fine but as I encoded the y labels the predictions I get give this result:

2 0 1 2 1 2 2 0 2 1 0 0 0 1 1 1 1 1 1 1 2 1 2 1 0 1 0 1 0 2

So now I need to convert it back to the original flower class (Iris-virginica, etc). I need to use the inverse_transform method but can you help out?